Data Engineer

United StatesHybridFull Time$87,100–$157,450 /yrPosted 2 months ago

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Role summary

A national security sector leader is seeking a Data Engineer to conduct data analytics, engineering, mining, and statistical analysis to create narrative products for informed decision-making. The role involves designing and building data management systems, optimizing architectures, and collaborating with data users. Responsibilities include selecting and configuring backend database technologies, optimizing scalable data pipelines, and implementing automated processes for integrating datasets and conducting research. The engineer will also collaborate with computer scientists to design new data processes and algorithms, and provide advice and resolve issues in various forums while supporting multiple projects. A Bachelor's degree and 6-8 years of experience in a related field are required, along with proficiency in SQL, Python, R, and data visualization tools.

Data Engineer | Hybrid | $87,100.00 - $157,450.00

This employer is a national security sector leader, known for delivering innovative solutions through a diverse and talented workforce. They are dedicated to customer success, community contribution, and sustainable operations, consistently doing the right thing for their clients and people.

The Role

• Conduct data analytics, engineering, mining, and statistical analysis to create narrative products for informed decision-making.

• Design and build data management systems, optimizing architectures and collaborating with data users.

• Select and configure backend database technologies and optimize scalable data pipelines for various data types.

• Implement automated processes for integrating datasets, conducting scalable data research, and developing efficient scripts.

• Collaborate with collection managers and computer scientists to design new data processes and algorithms for automated strategies.

• Provide advice and resolve issues in briefings, meetings, and working groups, supporting multiple projects simultaneously.

What You'll Need

• Bachelor’s degree and 6-8 years of experience in Statistics, Mathematics, Data Analytics, or a related field.

• US Citizen with the ability to obtain/maintain a Public Trust clearance.

• Strong understanding of data modeling, data warehousing, and database design principles.

• Proficiency in relational databases, SQL, API-based data querying, and data visualization tools (e.g., PowerBI).

• Experience developing predictive algorithms, image classifiers, object detectors, and other data science solutions.

• Skilled in major data science languages such as R and Python, with the ability to manage and merge disparate data sources.

What's On Offer

• Competitive compensation package reflecting the importance of the work.

• Comprehensive health and wellness programs.

• Income protection, paid leave, and retirement benefits.

• A dynamic environment that fosters active learning and creative problem-solving.

Apply via Haystack today!

Ready to apply?

You'll be redirected to Haystack's application page.

Is this role right for you?

Role summary

Similar roles