Requisition #: DATAE004157
Job Title: Data Engineer
Location: 6560 Surveillance Loop, Building 6007, Aberdeen Proving Ground, Maryland 21005
(Hybrid)Clearance Level: Active DoD - Interim Secret
Required Certification(s): - DoD IAT Level II Certification (Must obtain within 90 days of starting).
SUMMARYPM MC provides integrated system-of-system solutions to Army and Joint warfighters, whose products include computer hardware, software, communications and network management infrastructure. The Mission Command Support Center (MCSC), under PM MC, is an integral part of the Program Executive Office - Command, Control, & Communications-Tactical (PEO-C3T) capability portfolio, providing a centralized capability to deploy, integrate, monitor, test, manage, modernize, evaluate and sustain fielded and enterprise-hosted MC capabilities. The MCSC mission is one of constant change and adaptation, always responding to enable deployment of new capabilities, while assuring current capabilities are at an optimal state of readiness throughout globally deployed and networked assets.
The Data Engineer will play a key role in designing, implementing, and maintaining data pipelines to support our organization's data-driven initiatives. This position requires a strong foundation in data engineering concepts, proficiency in relevant technologies, and the ability to collaborate with cross-functional teams to deliver scalable and efficient data solutions.
JOB DUTIES AND RESPONSIBILITIES- Design, develop, and maintain robust and scalable data pipelines for the extraction, transformation, and loading (ETL) of data from various sources.
- Collaborate with data architects and analysts to understand data requirements and implement efficient solutions.
- Implement and optimize data models to support business requirements.
- Develop and maintain databases, ensuring data integrity, security, and performance.
- Integrate data from diverse sources to provide a unified view for analytics and reporting.
- Implement data quality checks and validation processes to ensure the accuracy and reliability of data.
- Troubleshoot and resolve data-related issues in a timely manner.
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver data solutions that meet business objectives.
- Document data engineering processes, data flows, and system architecture.
QUALIFICATIONS
Required Certifications- DoD IAT Level II Certification (Must obtain within 90 days of starting).
Education, Background, and Years of Experience- Must be a US Citizen.
- Possess at minimum an Interim Secret Clearance.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 5+ years proven experience as a Data Engineer or in a similar role.
- Possess proficiency in programming languages such as Python, Java, or Scala, have experience with ETL tools and frameworks (e.g., Apache NiFi, Apache Beam, Airflow).
- Have strong SQL skills and experience with relational and non-relational databases.
- Possess familiarity with big data technologies and distributed computing (e.g., Hadoop, Spark)
- Have an understanding of data warehousing concepts and best practices.
ADDITIONAL SKILLS & QUALIFICATIONS
Required Skills- Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git). Excellent problem-solving and analytical skills. Continuous learning mindset and the ability to adapt to evolving technologies.
WORKING CONDITIONS
Environmental Conditions- Stand office environment.
- Hybrid, 2-3 days a week on-site.
Strength Demands- Light - 20 lbs. Maximum lifting with frequent lift/carry up to 10 lbs. A job is light if less lifting is involved but significant walking/standing is done or if done mostly sitting but requires push/pull on arm or leg controls.
Physical Requirements- Stand or Sit; Walk; Repetitive Motion; Use Hands / Fingers to Handle or Feel; Stoop, Kneel, Crouch, or Crawl; See; Push or Pull
