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SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the aviation programs. This role will focus on designing, building, and maintaining scalable data architectures that support aircraft maintenance, logistics, performance analytics, and mission readiness initiatives. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Responsibilities Design and implement scalable data architectures and data models Develop and optimize ETL/ELT pipelines supporting analytics and reporting initiatives Build and maintain cloud-based data platforms and warehousing solutions Support data integration across multiple structured and unstructured data sources Collaborate with data scientists, engineers, and stakeholders to support machine learning and analytics initiatives Implement data governance, security, and quality standards Monitor and optimize database performance, scalability, and reliability Support modernization efforts and migration of legacy data environments Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or related field Active security clearance or ability to obtain one 6+ years of experience in data engineering, data architecture or software engineer with a focus in backend data Strong experience with: Python SQL Pandas PySpark NumPy Git Experience with data warehousing technologies such as: Databricks Redshift BigQuery Apache Hive Experience developing and automating large-scale data environments Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn is a plus Preferred Qualifications Experience designing conceptual, logical, and physical data models Experience with cloud platforms including AWS, Azure, or GCP Knowledge of modern data lake and data warehouse architectures Experience with Apache Kafka, Airflow, Spark, NiFi, or similar technologies Understanding of big data ecosystems and distributed computing frameworks Experience supporting AI/ML workflows and analytics platforms Knowledge of data governance, security, and compliance best practices Experience with CI/CD pipelines and software development best practices Experience supporting defense, aviation, aerospace, or mission-critical programs preferred

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Scientist (Mid-Level) to support the Modern Disability Claims program. This role independently owns analytical projects from problem framing through model deployment, applying statistical modeling and machine learning to claims and healthcare data in support of VA disability claims processing. Key Responsibilities Independently design, build, and validate statistical and machine learning models to support claims and healthcare data analysis Perform exploratory data analysis and feature engineering on claims, clinical, and healthcare datasets Manage assigned analytical projects from problem framing through model deployment with minimal oversight Debug and resolve data pipeline, model, and analysis issues of moderate complexity Begin mentoring junior data scientists on modeling techniques and coding standards Collaborate with data engineers and architects to source, integrate, and validate data for modeling Document model design, assumptions, performance, and validation results Present findings and model results to technical and non-technical stakeholders Contribute to sprint/team planning and provide status updates on assigned work Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Must hold, or be able to obtain, a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement) Bachelor's degree in Applied Mathematics, Statistics, Computer Science, Data Science, or related field; Master's degree a plus 3–6 years of experience in data science, statistics, or a related field; 9+ years of relevant experience may be considered in lieu of a degree. Strong proficiency in Python or R for statistical modeling and data wrangling Experience with supervised and unsupervised machine learning techniques (classification, regression, clustering) Experience with SQL and working with large, complex datasets Experience with data visualization and communicating analytical findings Familiarity with cloud platforms (AWS, Azure, or GCP) Strong communication and collaboration skills Preferred Qualifications Experience with Jupyter notebooks, Git, and collaborative coding workflows Experience with healthcare, claims, insurance, or federal programs Familiarity with NLP or deep learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience mentoring junior team members

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Junior Software Engineer to support the Modern Disability Claims program. This is an entry-level opportunity for someone early in their software engineering career to learn full-stack development practices and contribute to features under the guidance of senior engineers. This individual will support mission-critical claims analytics and operational software. Key Responsibilities Write clean, well-documented code to support full-stack feature development Assist with implementing and testing small, well-defined UI and API features under guidance Support senior engineers in debugging and resolving software defects Learn and apply the team’s coding standards, tools, and development processes Participate in peer code reviews to build familiarity with team practices Assist with writing and maintaining unit tests Document code and contribute to technical documentation as directed Learn the team’s domain, codebase, and Modern Disability Claims systems Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Must hold or be able to obtain a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience 0–4 years of experience in software engineering or a related field Familiarity with JavaScript, TypeScript, and a modern front-end framework such as React.js Basic understanding of Node.js and RESTful APIs Familiarity with Git and version-control workflows Strong attention to detail and eagerness to learn Ability to work collaboratively and receive feedback and mentorship from senior team members Preferred Qualifications Coursework, internship, or project experience with full-stack development Exposure to MERN or PERN stack technologies, including MongoDB, Express.js, and PostgreSQL Familiarity with CI/CD pipelines or containerization technologies such as Docker Familiarity with healthcare or claims data

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Mid-Data Scientist to analyze multidimensional aviation, global supply chain, and operational data to develop and maintain predictive models. The ideal candidate has hands-on experience with statistical modeling, machine learning, and time-series analysis and is comfortable working with complex data from multiple sources and formats. Candidates must have hands-on experience with supervised learning, including classification and regression, and unsupervised learning, including clustering and dimensionality reduction. This role requires a quick learner who is curious, innovative, results-oriented, and able to identify meaningful trends and patterns within large, complex datasets. Strong interpersonal skills and the ability to work effectively with partners are also essential. Key Responsibilities Develop, evaluate, and maintain predictive and statistical models. Lead or support end-to-end analytical modeling and data science framing activities. Analyze and integrate large, complex datasets from multiple sources and formats. Apply regression, time-series analysis, and supervised and unsupervised machine learning techniques. Work with partners to identify data fields, sources, and integration requirements. Assess data quality, provenance, and suitability for modeling. Identify and communicate relevant trends and patterns within complex datasets. Document data processes, methodologies, and models. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role. MSc or PhD degree in applied mathematics, statistics, or a related field, or equivalent relevant work experience. 4+ years of experience applying statistical modeling and analytics, including advanced classification and regression modeling, generalized linear and multilinear regression, logistic and multinomial regression, and time-series analysis. Hands-on experience with supervised learning (classification and regression) and unsupervised learning (clustering and dimensionality reduction), with a strong record of applied data analysis. 4+ years of professional proficiency using R or Python for data wrangling and model development, along with experience using SQL or Spark SQL, database design concepts, and cloud platforms such as AWS, Azure, or Google Cloud. Demonstrated proficiency in statistical analysis, data visualization, data quality assurance, data management, and the development and documentation of analytical models, algorithms, methodologies, and processes. Ability to collaborate with stakeholders, translate requirements into data science solutions, provide technical guidance, and communicate complex analytical concepts clearly to technical and non-technical audiences. Strong organizational and project-management skills, with the ability to manage multiple priorities accurately and on schedule; must be local to the Vienna, VA area and able to work on-site three or more days per week, with hybrid opportunities at the supervisor’s discretion. Preferred Qualifications 3+ years of experience in the aviation or aerospace industry. AWS or Google Cloud Professional or Specialty Certification, or the ability to obtain certification, highly preferred. Experience with supply chain management data systems and technologies, including ERP, Transportation Management Systems (TMS), and Warehouse Management Systems (WMS). Experience supporting DoD and/or VA missions and/or working in a consulting environment. Experience with software development processes and modern AI and machine learning technologies, including Retrieval-Augmented Generation (RAG), embeddings, vector databases, Hugging Face Transformers, BERT, BART, and large language models (LLMs).

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking an experienced Security Architect to support our government contracting initiatives. This role is critical in designing and implementing secure, compliant, and scalable architectures supporting regulated systems and high-visibility enterprise platforms. The Security Architect will lead security design, compliance alignment, and risk mitigation efforts across cloud and hybrid environments. This role requires deep expertise in both commercial security standards and federal cybersecurity frameworks, along with the ability to operate in a collaborative, high-trust engineering culture. Key Responsibilities Ensure that security requirements are adequately addressed in all aspects of enterprise architecture, including reference models, segment and solution architectures, and the resulting systems that protect and support organizational mission and business processes. Define secure baselines for secure cloud and hybrid solutions supporting government data systems. Develop, maintain, and own System Security Plans (SSPs) and all supporting compliance artifacts. Lead all phases of the security compliance and architecture process, from system creation through continuous monitoring. Apply, interpret, and assess NIST SP 800-53 controls across system and data environments. Conduct security risk assessments, gap analyses, and vulnerability remediation planning. Collaborate with engineering, infrastructure, and compliance teams to enforce secure-by-design principles. Manage security documentation, policies, procedures, and control evidence. Support security audits, penetration testing coordination, and incident response planning. Serve as a subject matter expert for data protection, encryption, and identity and access management (IAM). Safeguard sensitive information and adhere to all organizational security and privacy policies, ensuring proper handling and confidentiality of data at all times. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Bachelor’s in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering. 10+ years of cybersecurity architecture experience in federal or large enterprise environments. Deep expertise in commercial security and compliance requirements, including GLBA, CCPA, FinCEN reporting, PCI-DSS, GDPR, SOC 2, and ISO frameworks. Deep expertise with federal security requirements, including FISMA, FedRAMP, and NIST SP 800-53. Proven experience documenting and implementing compliance requirements and developing secure architecture in regulated environments. Strong knowledge of system hardening, network security, encryption protocols, and secure SDLC practices. Experience securing cloud platforms such as AWS, Azure, and/or GCP in regulated environments. Preferred Qualifications One or more of the following certifications: CAP, CASP, CISM, CISSP, or GSLC. Masters or PHD in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering. Experience with FinTech-specific security requirements and IT systems. Strong written and verbal communication skills with the ability to produce audit-ready documentation. Experience coordinating with Security Engineers, Developers, and System Administrators.

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking an NLP Data Scientist to support the Modern Disability Claims program, applying natural language processing and machine learning to extract, structure, and analyze medical and claims data in support of VA disability claims adjudication. This role blends deep NLP/transformer expertise with hands-on experience in healthcare and claims data. Key Responsibilities Extract medical and claims-relevant data using NLP; tune models with VA datasets.

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Senior Software Engineer, Data to support the Modern Disability Claims program. This senior role owns the software engineering practice that surrounds our data platform, including internal tools, APIs and services that expose or consume data from the pipeline, and shared libraries/frameworks, while setting the standards and rigor (design patterns, automated testing, refactoring) that raise the overall engineering quality of the data pipeline. This is a backend-focused role distinct from both the Data Engineer, who owns the pipeline logic itself, and the Software Engineer, who builds full-stack, user-facing features. Responsibilities Design, build, and maintain internal tools, APIs, and shared libraries/frameworks that expose and consume data from the Modern Disability Claims data pipeline Set and enforce software engineering standards, including design patterns, clean architecture, and refactoring practices, across the data platform's surrounding tooling Establish and champion automated testing discipline (unit and integration, using pytest) across the data engineering team Partner closely with Data Engineers to identify pipeline components that would benefit from stronger software engineering practices, and lead the effort to bring them up to standard Package and distribute Python libraries and services with clear versioning, dependency management, and documentation Lead code reviews for platform tooling and, where relevant, pipeline code, setting the bar for shared engineering standards Mentor engineers on software design, testing, and refactoring practices Debug and resolve complex software defects in internal tools and services supporting the data pipeline Document APIs, libraries, and internal tools for use by other engineering teams Contribute to sprint/team planning and provide status updates on assigned work Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Must hold, or be able to obtain, a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement) Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience) 6+ years of experience in software engineering Deep proficiency in Python, including type hints/static typing (e.g., mypy), modern packaging (e.g., Poetry, setuptools), and clean-architecture/design-pattern practices Extensive experience writing automated tests with pytest (unit and integration testing), with a track record of establishing testing discipline across a team Experience designing and building APIs and backend services Experience with Git and standard software development practices, including code review Strong communication and collaboration skills, with a track record of mentoring other engineers and working closely with data engineers to raise shared code-quality standards Preferred Qualifications Familiarity with, or hands-on experience with, data pipelines or ETL/ELT concepts (helpful, not required) Experience with cloud data platforms (AWS, Azure, or GCP) Experience with CI/CD pipelines and automated quality gates Experience supporting healthcare, insurance, benefits administration, or federal programs

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. SteerBridge seeks a highly skilled and motivated individual to join our team as a Senior Data Engineer to align data solutions to business requirements by planning and managing data infrastructure and strategy for our Modern Disability Claims AI/ML program. Our team is dedicated to harnessing the power of AI/ML to increase claims processing throughput and reduce adjudication wait times, ultimately improving outcomes for veterans. In this role, you will be responsible for performing Data Engineering tasks within the existing systems of record with multiple databases. Your mission will be to enhance and optimize data entry, management, and extraction within this database to ensure its usability within our proprietary system. Data management activities include performing data quality checks, analysis, presenting data, and documenting the process. The ideal candidate is a quick learner, curious, innovative, results-oriented, and has strong interpersonal skills. Required Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Bachelor's Degree or Above in Systems Engineering, Computer Science, or related field. Must hold, or be able to obtain, a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). Minimum 6+ years of experience to include: Experience in data pipelines, utilizing advanced analytics tools and platforms and Python. Experience in scripting, tooling, and automating large-scale computing environments. Extensive experience with major tools such as Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git; minor experience with TensorFlow, PyTorch, and Scikit-learn. Location: Preferred local to the Vienna, VA area and able to work on-site at our Vienna, VA office (3+ days/week). Hybrid opportunities at supervisors' discretion. Experience Data Modeling and Design Advanced data modeling (conceptual, logical, and physical) with emphasis on scalability and maintainability. Strong understanding of database paradigms (relational, NoSQL, graph, time-series, and document-based). Expertise with modern data warehousing platforms (Redshift, Snowflake, BigQuery). Deep understanding of dimensional modeling (star/snowflake schemas) and data vault techniques. Experience designing for both OLTP and OLAP workloads. Proficiency with schema evolution, metadata-driven pipelines, and data versioning strategies. Implementing data retention, archival, and lifecycle policies. Project Experience: Delivered optimized, production-grade data models supporting analytics, reporting, and ML workflows, aligning with established architecture and performance standards. Data Pipeline Development Hands-on experience with distributed processing tools (Apache Kafka, Airflow, Spark, Flink, NiFi). Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue, GCP Dataflow, Azure Data Factory). Deep understanding of incremental processing, idempotency, schema evolution, and backfill logic. Proficient in pipeline automation, observability, and monitoring (metrics, logging, alerting). Strong Python development for ETL — modular, testable, reusable, and performance-optimized. Knowledge of workflow dependency management, retries, and failure recovery strategies. Project Experience: Owned the end-to-end design and implementation of fault-tolerant, high-throughput pipelines integrating diverse data sources while maintaining data quality and SLAs. Cloud Platforms and Services Deep expertise in AWS, GCP, or Azure data ecosystems. Experience building and managing cloud-native data solutions (Data Lakes, Data Warehouses, Data Mesh). Strong understanding of cloud storage (S3, Blob), managed databases (RDS, DynamoDB), and compute (EMR, Dataproc, ECS). Cost governance and performance optimization for large-scale data workloads. Knowledge of serverless data patterns (AWS Lambda + Athena, GCF + BigQuery). Experience with hybrid/multi-cloud architecture and inter-cloud data movement. Project Experience: Led migration of legacy ETL workflows and data systems to cloud-native architectures, delivering measurable cost, scalability, and performance improvements. Big Data Technologies Hands-on experience with distributed computing frameworks (Hadoop, Spark, Hive, Presto). Proficiency with data lake and lakehouse architectures (Delta Lake, Apache Iceberg, Apache Hudi). Understanding of partitioning, data compaction, schema evolution, and ACID compliance. Strong knowledge of query optimization on massive datasets (Athena, Trino, Presto). Performance tuning in petabyte-scale distributed systems. Project Experience: Built and maintained data platforms capable of processing structured and unstructured data at scale, enabling advanced analytics and data science workloads. Database Administration and Optimization Advanced SQL/NoSQL query tuning, indexing, sharding, and partitioning strategies. Proficient with replication, backups, and disaster recovery across distributed systems. Skilled in analyzing query execution plans and applying cost-based optimization. Experience optimizing data-intensive application code and database interfaces. Familiarity with temporal tables, data versioning, and caching strategies. Project Experience: Improved query performance and system scalability through advanced indexing, schema refactoring, and distributed database optimization. Data Governance and Security Implementing data privacy and compliance frameworks (GDPR, CCPA). Experience with data cataloging, lineage, and metadata management (DataHub, Collibra, Alation). Role-based access control and sensitive data protection across multi-tenant systems. Integration of data quality validation and data contract testing within CI/CD pipelines. Automation of governance and security policies using cloud-native tools. Project Experience: Implemented enterprise-grade data governance and access control frameworks ensuring compliance, lineage visibility, and trust in analytics. Programming and Software Engineering Strong proficiency in Python and SQL for data processing, automation, and API integration. Expertise in object-oriented programming (OOP) and design patterns in Python. Deep understanding of algorithmic complexity (Big O) and code performance optimization. Familiarity with parallel and distributed computing frameworks (Spark, Dask, Ray). Skilled with version control (Git) and CI/CD tools (GitLab, Jenkins, CircleCI). Proficient in software engineering best practices: testing (pytest/unittest), documentation, type hinting, and linting. Ability to debug, profile, and optimize large-scale data workflows. Project Experience: Developed performant, maintainable Python-based data frameworks, automated ETL systems, and optimized code for distributed workloads. AI/ML Pipeline Enablement Collaboration with data scientists on feature engineering, data preparation, and model deployment. Knowledge of ML orchestration and experiment tracking (MLflow, Kubeflow). Familiarity with feature stores and data lineage for ML. Integration of batch and streaming data pipelines for real-time inference. Hands-on experience with analytics and visualization tools (Tableau, Power BI). Project Experience: Built and maintained ML-ready data pipelines and infrastructure supporting training, experimentation, and real-time inference. Leadership and Collaboration Mentoring and guiding junior engineers in data design, coding standards, and performance optimization. Leading cross-functional projects with data scientists, analysts, and business partners. Promoting best practices for data engineering and governance within the organization. Effective stakeholder communication, documentation, and Agile project management. Ability to conduct technical reviews and enforce design and scalability standards. Project Experience: Provided technical leadership for cross-domain data initiatives, fostering best practices in data engineering and enabling scalable, maintainable systems. Additional Skills DevOps/DataOps: Infrastructure as code, Docker/Kubernetes, automated deployment of data infrastructure. Testing & CI/CD: Git-based workflows, automated integration testing, and continuous delivery for data pipelines. Performance & Cost Optimization: Tuning query execution, pipeline efficiency, and resource utilization. Automation: Building self-healing data pipelines with retry logic, monitoring, and alerting. Documentation: Strong communication of technical architecture using tools like Lucidchart, PlantUML, or Draw.io.