Data Engineer

About this role

Data Engineer | United States | Remote | $87,100 - $157,450

We're working with a premier global leader in national security and digital transformation on this exciting opportunity. We are looking for a powerhouse Data Engineer to architect the backbone of DHS decision-support tools, utilizing Python and SQL to transform complex datasets into mission-critical insights.

This isn't a role for those looking to maintain the status quo; you will be building scalable data pipelines and predictive algorithms that directly impact national security operations. If you thrive in fast-paced, collaborative environments and love solving "impossible" data puzzles, this is your next career move.

The Role

• Design and build robust data management systems and automated pipelines to process both structured and unstructured data at scale.

• Develop and deploy predictive algorithms, image classifiers, and object detectors to enhance operational decision-making.

• Collaborate directly with Computer Scientists and Stakeholders to architect backend database technologies and optimize data ingestion workflows.

• Transform massive datasets into compelling narrative products and visualizations using PowerBI to inform high-level government briefings.

• Optimize ETL processes and data architectures within Azure cloud environments to ensure maximum efficiency and scalability.

What You'll Need

• 6-8 years of heavy-hitting experience in Data Engineering, Analytics, or Statistics with a Bachelor’s degree in a technical field.

• Mastery of Python and R for data manipulation, alongside expert-level SQL for querying relational databases and APIs.

• Proven track record in data modeling, data warehousing, and building automated data research scripts.

• US Citizenship and the ability to obtain/maintain a Public Trust clearance are essential for this mission.

• Technical familiarity with version control tools like GIT, SVN, or Jira, and experience with Azure cloud data analytics su...