Overview
SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisit
Full job description
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 Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems.
Key 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 U.S. Citizenship required. Bachelor's degree in Computer Science, Systems Engineering, Data 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). 3+ years of experience in data architecture with demonstrated ownership of enterprise data warehouse design. 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
Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays
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