Data Engineer

M9 Solutions
Springfield, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 180K

Job location

Springfield, United States of America

Tech stack

API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Azure
Google BigQuery
Cloud Computing
Cloud Engineering
Computer Security
Databases
Information Engineering
Data Governance
ETL
Data Systems
Relational Databases
File Systems
Amazon DynamoDB
Elasticsearch
Python
PostgreSQL
Machine Learning
Meta-Data Management
MySQL
Redis
Software Tools
Cloud Services
Software Engineering
Data Streaming
Systems Integration
Workflow Management Systems
Data Ingestion
Azure
Large Language Models
Indexer
FastAPI
Pandas
Build Management
Containerization
PySpark
Kubernetes
Storage Technologies
Information Technology
Kafka
Machine Learning Operations
Cloud Migration
Data Delivery
Data Pipelines
Docker

Job description

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., M9 Solutions is seeking a Data Engineer to work onsite in support of a government contract for a client located in Springfield, VA. 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 like Lambda, Glue, Step Functions, Azure Data Factory, etc.
  • Database Architecture: 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.
  • 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.

Requirements

  • Active TS/SCI security clearance.
  • Bachelor's or master's degree in computer science, engineering, or related field.
  • 10+ years of experience in data engineering or software development roles.
  • Strong proficiency in Python, including experience with libraries like pandas, PySpark, FastAPI, or similar.
  • Solid experience with cloud services (AWS or Azure) and Cloud native data engineering tools.
  • Proven experience in 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.

Preferred Skills and Qualifications

  • Knowledge of data cataloging tools and semantic layer design.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with MLOps tools or platforms (e.g., SageMaker, MLflow).

Benefits & conditions

  • M9 Solutions' pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the position, education, experience, knowledge, skills, abilities, as well as internal equity, location, alignment with market data, applicable bargaining agreement (if any), or other law.
  • M9 Benefits -

Salary Range

$60,000 - $180,000 USD

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. Please click to complete M9's Voluntary Self-Identification Form and then email it to . If you need accommodation during the application process or encounter difficulties using our website, please contact our Human Resources Department at or

M9 Solutions is a proud participant in the Virginia Values Veterans (V3) program and supports the Military Medics and Corpsmen (MMAC) initiative, demonstrating our commitment to hiring and supporting veterans, transitioning service members, military spouses, and dependents.

With 15+ years of proven delivery and growth, M9 Solutions is a unique small business with credible past performance and key capabilities offering project management services, solution architects, business analysts, program managers, technical architects, and technical consultants. M9 was recognized as an Inc. 5000 Fastest-Growing Private Companies in 2021, 2020, 2019, 2018, 2017, 2016, and 2012. M9 Solutions believes that work should be fun, rewarding, and something everyone can be excited about. We offer a competitive compensation package and value diverse perspectives in driving the vision of the company.

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