Position Overview
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 AI/ML Maintenance, Sustainment, and Deployment Planning Project. Our team is dedicated to harnessing the power of AI/ML to increase parts availability and reduce maintenance wait times, ultimately maximizing aircraft availability.
In this role, you will be responsible 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
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.
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 or higher in Systems Engineering, Computer Science, or a related field.
6+ years of relevant professional experience, including experience developing and supporting data pipelines using advanced analytics tools, platforms, and Python.
Experience scripting, developing tools, and automating large-scale computing environments.
Proficiency with Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git, with familiarity in TensorFlow, PyTorch, and Scikit-learn.
Location: Preference for candidates local to the Vienna, VA area who are able to work on-site at our Vienna office three or more days per week. Hybrid opportunities may be available at the supervisor’s discretion.
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.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Life Insurance
- 401(k) Retirement Plan with matching
- Paid Time Off
- Paid Federal Holidays
Skills Required
- U.S. Citizen
- Bachelor's degree or above in Systems Engineering, Computer Science, or related field
- Active security clearance or ability to obtain one
- Minimum 6+ years of relevant experience
- Experience in data pipelines, advanced analytics tools/platforms, and Python
- Experience scripting, tooling, and automating large-scale computing environments
- Extensive experience with Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git
- Minor experience with TensorFlow, PyTorch, and Scikit-learn
- Advanced data modeling and data warehousing experience (Redshift, Snowflake, BigQuery)
- Hands-on experience with distributed processing and pipeline tools (Kafka, Airflow, Spark, Flink, NiFi)
- Cloud data platform expertise (AWS, GCP, or Azure) and services (S3/Blob, RDS, DynamoDB, EMR, Dataproc, ECS)
- Experience with big data technologies and lakehouse architectures (Hadoop, Hive, Presto, Delta Lake, Iceberg, Hudi)
- Advanced SQL/NoSQL optimization, replication, backups, and disaster recovery
- Experience implementing data governance, metadata/catalog tools (DataHub, Collibra, Alation) and compliance (GDPR, CCPA)
- Proficiency with software engineering best practices, CI/CD (GitLab, Jenkins, CircleCI), testing (pytest), and version control
- Experience enabling ML pipelines and tools (MLflow, Kubeflow), feature stores, and collaboration with data scientists
- Leadership and mentoring of junior engineers and cross-functional stakeholders
- Able to work on-site in Vienna, VA office 3+ days/week (preferred local to Vienna, VA)
What We Do
SteerBridge is a technology company that provides professional services and solutions to the U.S. Government and Corporate counterparts through a wide array of capabilities and myopic focus on innovative solutions. We leverage decades of federal acquisition and private sector experience to deliver best in class commercial solutions while maximizing Veteran talent to enhance efficiency and surpass expectations. Current & Past Services include: Veteran Relations | Strategic Communications | General Technology Services | Software Engineering | Program Management | Business Process Management | Cybersecurity Professional Services | AI/ML capabilities | Data Management & Analytics.
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