Expression is looking to hire a Senior Data Engineer (individual contributor) to add to the continued growth we are seeing with our Data Science department. This position will daily report to the program manager and data team manager on projects and will be responsible for the design and execution of high-impact data architecture and engineering solutions to customers across a breadth of domains and use cases.
Location:
- Remote with the ability to travel monthly when needed
- Local (DC/VA/MD Metropolitan area) is preferred but not required
- Relocation assistance available for highly qualified candidates
Security Clearance:
- US Citizenship required
- Ability to obtain Secret Clearance or higher
Primary Responsibilities:
- Directly working and leading others on the development, testing, and documentation of software code and data pipelines for data extraction, ingestion, transformation, cleaning, correlation, and analytics
- Leading end-to-end architectural design and development lifecycle for new data services/products, and making them operate at scale
- Partnering with Program Managers, Subject Matter Experts, Architects, Engineers, and Data Scientists across the organization where appropriate to understand customer requirements, design prototypes, and optimize existing data services/products
- Setting the standard for Data Science excellence in the teams you work with across the organization, and mentoring junior members in the Data Science department
Additional Responsibilities:
- Participating in technical development of white papers and proposals to win new business opportunities
- Analyzing and providing feedback on product strategy
- Participating in research, case studies, and prototypes on cutting-edge technologies and how they can be leveraged
- Working in a consultative fashion to improve communication, collaboration, and alignment amongst teams inside the Data Science department and across the organization
- Helping recruit, nurture, and retain top data engineering talent
Required Qualifications:
- 4+ years of experience bringing databases, data integration, and data analytics/ML technologies to production with a PhD/MS in Computer Science/Data Science/Computer Engineering or relevant field, or 6+ years of experience with a Bachelor’s degree
- 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
- 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)
- Strong writing and oral communication skills to deliver design documents, technical reports, and presentations to a variety of audiences
Benefits:
- 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
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
Agile Artificial intelligence (AI) Computer Engineering Databases Computer Science Data Engineering graph Machine Learning Data Analyst Data Science Python matlab Data lake JavaScript Data Architect Apache Hive impala data-integration SQL Java presto Scrum NoSQL apache-spark-sql Data Lakehouse