Senior Data Engineer

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.

• Design and maintain scalable conceptual, logical, and physical data models supporting analytics, reporting, machine learning, and transactional workloads across relational, NoSQL, graph, time-series, and document-based systems.

• Design, build, and optimize fault-tolerant batch and real-time data pipelines using Python and distributed processing and orchestration technologies such as Kafka, Airflow, Spark, Flink, and NiFi.

• Architect and manage cloud-native data solutions across AWS, GCP, or Azure, including data lakes, data warehouses, lakehouse architectures, and hybrid or multi-cloud environments.

• Develop and optimize large-scale data platforms using technologies such as Redshift, Snowflake, BigQuery, Delta Lake, Apache Iceberg, and Apache Hudi, applying appropriate partitioning, schema evolution, and performance optimization strategies.

• Optimize SQL and NoSQL databases through query tuning, indexing, sharding, partitioning, replication, caching, backup, and disaster recovery strategies.

• Implement data governance, quality, lineage, metadata management, access controls, lifecycle policies, and security standards to support reliable and compliant data environments.

• Develop maintainable, production-quality Python and SQL solutions using software engineering best practices, including version control, testing, CI/CD, documentation, performance profiling, and reusable design patterns.

• Partner with data scientists, analysts, engineers, and business stakeholders to support ML-ready data pipelines and analytics solutions while providing technical leadership, mentoring engineers, and establishing data engineering and architecture standards.

Preferred Qualifications

• Experience with DevOps/DataOps practices, including infrastructure as code, Docker, Kubernetes, and automated deployment of data infrastructure.

• Experience with Git-based workflows, automated integration testing, and CI/CD for data pipelines.

• Experience optimizing query performance, pipeline efficiency, and cloud or compute resource utilization.

• Experience developing resilient, automated data pipelines with retry logic, monitoring, alerting, and self-healing capabilities.

• Ability to clearly document and communicate technical architectures using tools such as Lucidchart, PlantUML, or Draw.io.

SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.

We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.