Senior Data Engineer (Hybrid)

Job Title: Senior Data Engineer

Location: Falls Church, Pentagon, Alexandria, or Arlington

Workplace: Hybrid (must be able to commute to one of the above offices 2-3 times per week)

Clearance Required: must have an active Top-Secret (TS) clearance (must be able to achieve a TS/SCI clearance with scope)

Position Overview:

Supports the Department of Defense's (DoD) Chief Digital and Artificial Intelligence Officer's (CDAO) Mission Analytics / Core Analytics Products, Search Products Portfolio, and Unstructured Data Search Enhanced by AI/ML (UD/SEAM).

Major Duties/Tasks:

• Support the configuration and ingestion of designated structured, unstructured, and

semi-structured data repositories into capabilities that satisfy mission partner

requirements and support a data analytics and DevOps pipeline to drive rapid delivery

of functionality to the client;

• Maintain all operational aspects of data transfers while accounting for the security

posture of the underlying infrastructure and the systems and applications that are

supported and monitoring the health of the environment through a variety of health

tracking capabilities;

• Automate configuration management, leverage tools, and stay current on data extract,

transfer, and load (ETL) technologies and services;

• Work under general guidance, demonstrate an initiative to develop approaches to

solutions independently, review architecture, and identify areas for automation,

optimization, right-sizing, and cost reduction to support the overall health of the

environment;

• Apply comprehension of data engineering-specific technologies and services, leverage

expertise in databases and a variety of approaches to structuring and retrieving of data,

comprehend Cloud architectural constructs, and support the establishment and

maintenance of Cloud environments programmatically using vendor consoles;

• Engage with multiple functional groups to comprehend client challenges, prototype new

ideas and new technologies, help to create solutions to drive the next wave of

innovation, and design, implement, schedule, test, and deploy full features and

components of solutions

• Identify and implement scalable and efficient coding solutions

• Maintain an existing collection of web scraping tools used as the initial step of the ETL

process

Requirements:

Required Education:

• Bachelor’s degree in computer science, computer engineering, mathematics, statistics,

data science or field directly related to the position and 7+ years of experience, or a Masters Degree and 5+ years of experience.

Required Skills/Experience:

• Experience with Big Data systems, including Apache Spark / Databricks

• Experience with ETL processes;

• Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0;

• Applying DoD Security Technical Implementation Guides (STIGs) and automating that

process

• Experience with multiple coding languages

• Experience engineering data pipelines across multiple security domains / classified

networks

Preferred Skills and Qualifications:

• An active TS/SCI clearance

Experience with:

• the DoD’s CDAO, Advana, or other CDAO products

• Agile methodology

• AI-enhanced search

• AI/ML for information retrieval and insight extraction

Why apply to this position at Elder Research?

Competitive Salary for a Sr. Data Engineer

Important Work / Make a Difference: develop AI enhanced search capabilities for the Department of Defense

Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.

Hybrid Work: in an industry of declining hybrid work opportunities.

People-Focused Culture: we prioritize work-life-balance and provide a supportive work environment as well as opportunities for professional growth and advancement.

Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

About Elder Research, Inc

People Centered. Data Driven

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - for example, each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

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.

Elder Research is a Government contractor and many of our positions require US Citizenship.