Data Analytics Engineer

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government. We are seeking a Data Engineer for a government contract in Springfield, VA. Responsibilities 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. Design and implement scalable ETL/ELT pipelines to clean, enrich, normalize, and semantically align data (ontology‑driven transformations). Build and deploy data pipelines and associated infrastructure on AWS or Azure, using managed services such as Lambda, Glue, Step Functions, Azure Data Factory, and similar. Understand and optimize for different storage engines—relational (PostgreSQL, MySQL), columnar (Redshift, BigQuery), indexing engines (ElasticSearch), key‑value stores (DynamoDB, Redis), object stores (S3 or similar), and caching layers. Work with Apache Kafka (or similar platforms) to handle high‑volume, low‑latency data streams. Utilize Apache Airflow (or equivalent) to schedule and monitor complex data workflows. Collaborate with data scientists to integrate LLMs and ML models into pipelines for inference, tagging, enrichment, or intelligent routing of data. Qualifications 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, including experience with 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. Familiarity with MLOps tools or platforms. M9 Solutions, LLC (M9) is a Federal sub‑contractor and we comply with all applicable federal laws prohibiting discrimination in employment, including Title VII of the Civil Rights Act of 1964. We also adhere 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. #J-18808-Ljbffr