Job Description:
Data Engineer
On-site Location: Springfield, VA
Home office: Arlington, VA
Clearance: TS/SCI with willingness to sit for CI Polygraph
Elder Research Inc. is a recognized leader in data science, machine learning and AI. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We are looking for innovative and inquisitive self-starters who enjoy understanding a problem space and building fast, efficient, and tractable data infrastructure to deliver real value for our clients.
Description:
We are looking for a Data Engineer to join our team! In this role, the data engineer guides robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications. You will work on building automated data pipelines and transform data to be used to analytics and data science. You will build and maintain data systems and construct datasets that are easy to analyze and support customer requirements. Implement methods to improve data reliability and quality. Combine raw information from different sources to create consistent and machine-readable formats. Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Develop and deploy Application Programming Interfaces (API) to expose IDST maintained data to the enterprise.
Come join our team!
Roles & Responsibilities:
- Consult with stakeholders to understand their business needs and identify potential process improvements
- Leads individual projects, including technical execution, client engagement, and project management
- Provides technical leadership throughout the software/data engineering lifecycle and understands benefits and tradeoffs of various languages and platforms
- Write well-documented and maintainable code using good data engineering practices
- Deliver new features to the customer upon request
- Prioritize development tasks and issues using agile methodology and the Atlassian Tool Suite (JIRA, Confluence, Bitbucket)
Required Qualifications:
- Active TS/SCI with willingness to sit for the CI Polygraph, or active TS/SCI with CI Polygraph
- Advanced Degree in technical field (M.S, or PhD) with 3-6 years of related work experience OR B.S. in technical field with 4-7 years work experience [equivalent experience may be considered in lieu of or in combination with education requirements]
- Experience using version control systems like Git, SVN, or Mercurial
- Proficiency in one or more of the following languages: Python, TypeScript, JavaScript and SQL
- Experience building and maintaining ETL pipelines
- Experience developing REST APIs with web frameworks based in Node.js or Python (e.g. Fastify, Aiohttp, or similar)
- Experience working with relational databases and writing/maintaining SQL scripts for data-driven web applications
- Ability to test your code using a combination of unit and integration tests.
- Possesses the technical skills to carry significant load on projects
- Understands how to translate business understanding into appropriate technical direction at the project level
- Ability to drive data design/strategy in a consultative manner either internally or at the table with clients
- Understands the role that data engineering can play in accelerating and improving the process of data science
- Mastery using at least one tool, platform, algorithm, or language and is actively working towards mastery in additional tools and platform
- Depth of knowledge in multiple languages and tools
- Excellent verbal and written communication skills to consult with customers, understand their business needs, and identify potential process improvement
- Maximum 36 hours on site per week with potential for hybrid work some weeks
Desired:
- Experience working with NumPy, Pandas, scikit-learn, or similar data science / analytics libraries
- Explore and analyze new/unstructured data sources and deliver insights to customers
- Python (Object Oriented Design)
About Elder Research, Inc.
Elder Research is a growing consulting firm specializing in data (analytics, data science, AI and machine learning), and related strategy and training. Our organization has over 25 years of experience and 100+ practitioners that have partnered with hundreds of organizations to achieve significant value through innovative applications of data, analytics, and people-centered processes.
We are tackling hard problems, big and small, where off-the-shelf solutions don't work or don't exist. To achieve success, we value humble, hardworking teammates with the ability to be flexible, think critically and experiment.
At Elder Research, you'll be part of a fun, friendly, and supportive community where we need each other to succeed, your point of view matters, and asking questions with a beginner's mindset is applauded. In keeping with our entrepreneurial spirit, we want candidates that are self-motivated with an innate curiosity and strong team work ethic. We are constantly learning and offer teammates free access to a wide range of learning opportunities including Elder's own platform statistics.com and technical mentors or sponsors. Broadening and deepening your technical and consulting skills both on the job and off is something we are passionate about, and we pay you to do it.
To achieve success on defense, intelligence and security work we frequently bring together the expertise of decision-makers, analysts, agents, investigators, and even behavioral scientists. Our team enjoys great variety in the type of work they do and exposure to a wide range of analytic techniques and tools.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Equal Opportunity Employer, including disability/protected veterans
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