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 that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. 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, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field. 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays 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. 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.

Requirements

Must-haves

Position Overview
The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems.
Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs.
Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources.
Build and maintain cloud-based data platforms, data warehouses, and related infrastructure.
Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives.
Implement and maintain data governance, security, data quality, and integrity standards across data environments.
Monitor and optimize database and data platform performance, scalability, reliability, and availability.
Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures.
Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field.
3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design.
Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git.
Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.
Experience developing and automating large-scale data environments.

Nice-to-haves

Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.
Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.
Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.
Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices.
Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agilemachine learningpythonsqlawsazuregcpaimlci/cd

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off