Data Engineer

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 federal agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.

Data Engineer – Onsite Support for a federal contract in Springfield, VA
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An active TS/SCI clearance is required.

• Data Ingestion & Acquisition:
  Collect and integrate data from a wide variety of structured and unstructured sources, including APIs, RDBMS, file systems, third‑party services, and real‑time streams.
• Pipeline Development:
  Design and implement scalable ETL/ELT pipelines to clean, enrich, normalize, and semantically align data (ontology‑driven transformations).
• Cloud Deployment:
  Build and deploy data pipelines and associated infrastructure on AWS or Azure using managed services such as Lambda, Glue, Step Functions, and Azure Data Factory.
• Database Architecture:
  Optimize for relational engines (Postgre
  
  SQL, MySQL), columnar storage (Redshift, Big Query), index engines (Elastic Search), key‑value stores (Dynamo
  
  DB, Redis), object stores (S3 and similar), and caching layers.
• Streaming Data Processing:
  Work with Apache Kafka or similar platforms to handle high‑volume, low‑latency data streams.
• Workflow Orchestration:
  Utilize Apache Airflow or equivalent to schedule and monitor complex data workflows.
• AI/ML Integration:
  Collaborate with data scientists to integrate LLMs and ML models into pipelines for inference, tagging, enrichment, or intelligent routing of data.

• Active TS/SCI security clearance.
• Bachelor's or master's degree in computer science, engineering, or a related field.
• 10+ years of experience in data engineering or software development roles.
• Strong proficiency in Python, with experience using libraries such as pandas, PySpark, FastAPI, or similar.
• Solid experience with cloud services (AWS or Azure) and cloud‑native data engineering tools.
• Proven experience building and maintaining data pipelines using Kafka, Airflow, and other open‑source frameworks.
• Strong grasp of database internals and trade‑offs between different storage technologies.
• Familiarity with data governance, lineage, and metadata management concepts.
• Experience or strong interest in integrating LLMs and AI/ML models into production‑grade data systems.

• Knowledge of data cataloging tools and semantic layer design.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with MLOps tools or platforms such as Sage Maker or MLflow.

Salary Range: $60,000 – $180,000 USD. Compensation is based on experience, education, responsibilities, internal equity, location, market data, and applicable agreements.

• Full benefits package including health, dental, vision, retirement plans, and paid time off.

M9 Solutions, LLC is a federal sub‑contractor and complies with all applicable federal laws prohibiting discrimination in employment, including Title VII of the Civil Rights Act of 1964. The company adheres to the affirmative action requirements of the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and Section 503 of the Rehabilitation Act, ensuring equal opportunity for veterans and individuals with disabilities. M9 Solutions participates in the Virginia Values Veterans (V3) program and supports the Military Medics and Corpsmen (MMAC) initiative, demonstrating a commitment to hiring and supporting veterans, transitioning service members, military spouses, and dependents.