Senior Data Engineer

Expression is seeking a Sr Data Engineer to support the continued growth of our Data Science Department. Reporting directly to a data team manager, this role is responsible for designing and implementing high-impact data architecture and engineering solutions. The ideal candidate thrives in a highly technical, collaborative environment and excels at delivering measurable results under tight deadlines.

Location:

• Department of Commerce (NTIA) (2-3 days/week on-site).
• Travel Requirement: ~10% for user validation events and training in DC/VA/MD Metropolitan area is required

Security Clearance:

• US Citizenship required
• Ability to obtain Secret clearance or higher

Primary Responsibilities:

• Lead the design, development, testing, and documentation of software code and data pipelines (batch and streaming) for data extraction, ingestion, transformation, cleaning, correlation, and analytics.
• Architect, develop, and scale new data services/products, ensuring robust performance and operational efficiency.
• Collaborate with cross-functional teams - including Program Managers, Subject Matter Experts, Architects, Engineers, and Data Scientists - to understand customer requirements, develop prototypes, and optimize existing data services/products.
• Champion best practices in Data Engineering, driving technical excellence and mentoring junior team members.

Additional Responsibilities:

• Contribute to the development of white papers and proposals, supporting business growth through technical expertise.
• Provide insights on product development and long-term data management approaches
• Participate in research, case studies, and prototype development to explore and leverage cutting-edge technologies.
• Help to recruit, mentor, and retain top data science and engineering talent.

Required Qualifications:

• 6+ years of experience bringing databases, data integration, and data analytics/ML technologies to production with a Bachelor's degree in Computer Science/Data Science/Computer Engineering or relevant field, or 4+ years of experience with a PhD/MS.
• Current Security+ certification (or must obtain within 30 days)
• Mastery in developing software code in one or more programming languages (Python, JavaScript, Java, Matlab, etc.)
• Expert knowledge in databases (SQL, NoSQL, Graph, etc.) and data architecture (Data Lake, Lakehouse)
• Knowledgeable in machine learning/AI methodologies
• Strong writing and oral communication skills to deliver design documents, technical reports, and presentations to a variety of audiences

Preferred Qualifications:

• Proficiency in Azure solutions (Databricks, Spark Streaming, OpenAI Service).
• Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases.
• Experience with GenAI enabled daily workflows (coding, testing, analytics).

• Experience with one or more SQL-on-Hadoop technology (Spark SQL, Hive, Impala, Presto, etc.)
• Experience in short-release cycles and the full software lifecycle
• Experience with Agile development methodology (e.g., Scrum)

Benefits:

Expression Networks offers competitive salaries and benefits, such as:

• 401k matching
• PPO and HDHP medical/dental/vision insurance
• Education reimbursement
• Complimentary life insurance
• Generous PTO and holiday leave
• Onsite office gym access
• Commuter Benefits Plan
• In-office Cold Brew Coffee

About Expression:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

Equal Opportunity Employer/Veterans/Disabled