Senior Data Engineer (Remote)

Description

The company uses technology and creative thinking to improve how government works and to support the country. It is a close-knit team that takes on hard problems for U.S. national security customers.

This remote role focuses on building, modernizing, and automating mission-critical data pipelines and workflows. The work links source systems, current data warehouses, and future lakehouse environments.

The ideal candidate combines data management, data science, and system integration skills with solid software development, database architecture, and modern data engineering practice.

Responsibilities

• Plan and build integrations that modernize and automate how data moves between systems, starting with requirements gathering and project planning.
• Draw and keep up architecture diagrams showing today's environments and planned data architectures.
• Advise on database architecture and development so the data solutions you help shape stay reliable and easy to maintain.
• Use Python and related tools to work with complex datasets, transforming and preparing them for downstream use.
• Containerize code with Docker and run commands from the command line.
• Build SQL connections inside Python applications and workflows to pull and work with database data.
• Write and maintain data governance documentation and processes, and give expert technical input on data architecture, integration, and management.
• Work with stakeholders to set reporting standards and help keep data accurate, consistent, and usable.
• Coordinate with other teams to line up technical goals, dependencies, and priorities so projects ship on time.
• Manage technical initiatives from concept and requirements through to completion.
• Relevant technologies: SQL, PostgreSQL, Snowflake, Databricks; Python with Pandas, Java; AWS, Azure; Docker; Git, GitHub, GitLab; Jira; Microsoft Visio.

Requirements

• U.S. citizenship.
• Living in the United States, in the Eastern or Central time zone.
• Ability to obtain a DHS Public Trust clearance.
• A bachelor's degree or higher in Data Science, Computer Science, Systems Engineering, or a related field.
• 7+ years of professional data engineering or data science experience.
• Fluency in Python, Git, SQL, and PostgreSQL.
• Strong experience with CI/CD build and deployment tools.
• Excellent written, verbal, and interpersonal communication skills.
• A strong wish to support the country by working on mission-critical systems.
• Preferred: experience with containerization technologies such as Docker.
• Preferred: experience with Snowflake and Databricks.
• Enthusiasm for solving hard technical problems that support U.S. national security goals.
• Willingness to learn and move beyond your current areas of expertise.
• Strong interpersonal skills and the ability to build trust with customers, partners, and teammates.
• Clear, proactive communication, self-direction, and ownership. You start and lead initiatives without waiting for instructions.
• Willingness to help the company grow through knowledge sharing, internal initiatives, innovation work, onboarding, and business development support.
• Professionalism, humility, curiosity, empathy for customers, and a team-first attitude.

Conditions

Remote position.

Pay depends on experience and qualifications. The company is glad to discuss pay expectations early in the process.

Benefits

• Medical, dental, and vision coverage.
• 401(k) matching.
• Paid time off.
• An employee shares program.