Data Pipeline Analyst

M9 Solutions•Washington, DC
•$150,000 - $170,000•Onsite

About The Position

M9 Solutions is seeking a Data Pipeline Analyst to work onsite in support of a government contract for a client in Washington, DC. An active Secret security clearance and U.S. citizenship are required. The analyst works directly with end users to turn operational problems into software workflows, maintains user-facing applications and production data pipelines, investigates and improves existing code, and coordinates customer requests with engineering teams. The role requires end-to-end application development experience, proficiency in Python, SQL, and TypeScript/JavaScript, and the ability to communicate clearly with customers in a fast-moving environment.

Requirements

  • Active Secret security clearance.
  • U.S. citizenship.
  • Ability to work onsite at the client location as needed.
  • Experience building applications end to end, from data pipelines and models to user-facing interfaces.
  • Experience navigating and debugging complex code written by others.
  • Proficiency in Python, SQL, and TypeScript/JavaScript.
  • Strong communication skills, including the ability to explain complex technical ideas clearly.
  • Experience working directly with customers on sensitive topics and competing priorities.
  • Comfort working in a fast-moving environment with shifting objectives.
  • Strong organization and attention to detail.

Nice To Haves

  • Experience with Foundry or a similar data platform.

Responsibilities

  • Work directly with end users to turn operational problems into working software workflows and remain accountable as needs change.
  • Investigate existing code to identify fixes and improve application and data-pipeline performance and stability.
  • Own user relationships, scope work, configure solutions, and manage expectations independently.
  • Maintain and configure user-facing applications, including improvements to user experience and navigation.
  • Configure and maintain production data pipelines and their underlying data models.
  • Plan and sequence work around customer priorities, scope requests with stakeholders, and explain tradeoffs.
  • Triage, track, and escalate support requests across customer and engineering teams.
  • Partner with product engineers to identify root causes and fix user-reported bugs.
  • Conduct recurring and ad hoc analysis to answer customer questions.

Benefits

  • M9 states that it offers a competitive compensation package and refers applicants to its benefits page for details.
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