Senior Data Engineer

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.

• Perform data engineering activities across existing systems of record and multiple databases.

• Enhance and optimize data entry, management, and extraction processes to improve data usability within proprietary systems.

• Conduct data quality checks to identify inconsistencies, errors, and opportunities for improvement.

• Analyze data and present findings to support business and operational needs.

• Maintain accurate documentation of data processes, workflows, and methodologies.

• Collaborate with team members and stakeholders to address data needs and support continuous improvement.

• Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain a Public Trust clearance; an active Secret or Top Secret security clearance also satisfies this requirement.

• Bachelor’s degree or higher in Systems Engineering, Computer Science, Data Science, or a related field.

• 6+ years of data engineering or related experience designing, developing, and supporting production data platforms and pipelines.

• Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git, including experience developing reusable, testable, and performance-optimized data processing and automation solutions.

• Experience designing conceptual, logical, and physical data models and working with relational, NoSQL, data warehouse, data lake, and lakehouse architectures.

• Hands-on experience developing and orchestrating scalable batch and/or real-time data pipelines using technologies such as Apache Spark, Kafka, Airflow, NiFi, AWS Glue, Azure Data Factory, or GCP Dataflow.

• Experience developing cloud-based data solutions in AWS, Azure, and/or GCP, including cloud storage, managed databases, compute services, and modern data warehousing platforms such as Redshift, Snowflake, or BigQuery.

• Experience with data quality, governance, security, lineage, metadata management, performance optimization, CI/CD, and software engineering best practices for large-scale data environments.

• Preference for candidates located in the Vienna, VA area who are able to work onsite at the SteerBridge Vienna office at least three days per week. Hybrid arrangements may be available at the supervisor’s discretion.