Data Engineer

M9 Solutions

Job Location:

Springfield, VT - USA

Monthly Salary: $ 60000 - 180000

Posted on: 13 days ago

Vacancies: 1 Vacancy

Job Summary

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 Engineerto work onsite in support of a government contract for a client located inSpringfield VA. An activeTS/SCI clearanceis required.

Responsibilities

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 enginesrelational (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.

Required Skills and Qualifications

Active TS/SCI security clearance.
Bachelors or masters 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).

Full-Time Employee Compensation

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 - Range
$60000 - $180000 USD

M9 Solutions LLC (M9) is aFederalsub-contractorand wecomply withall 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 clickhereto complete M9s 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 ourHuman 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 andgrowth 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 inand 2012. M9 Solutions believes that work should be fun rewarding and something everyone can be excited about. We offer a competitive compensation package and valuediverse perspectivesin driving the vision of the company.

Required Experience:

M9 Solutions is seeking a Data Engineerto work onsite in support of a government contract for a client located inSpringfield VA. An activeTS/SCI clearanceis required.

Responsibilities

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 enginesrelational (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.

Required Skills and Qualifications

Active TS/SCI security clearance.
Bachelors or masters 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).

Full-Time Employee Compensation

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 - Range
$60000 - $180000 USD