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MO · 5 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$135K/yr - $165K/yr

5+ years exp

MO is a company that challenges the status quo and helps government leaders shape the future through scalable, human-centered solutions. They are seeking a Senior Data Engineer to design and build scalable data infrastructure, develop ETL pipelines, and collaborate with cross-functional teams to deliver analytics-ready data that improves Veteran-facing services.

ConsultingGovernmentProduct DesignProduct ManagementTest and MeasurementTraining

No H1B

U.S. Citizen Only

Responsibilities

Design, build, and maintain scalable data pipelines that ingest, clean, transform, and aggregate data from disparate sources across the VA ecosystem

Develop and implement data models that support analytical use cases and measurement frameworks

Partner with data scientists, service designers, and product managers to translate analytical requirements into infrastructure that delivers analytics-ready datasets

Implement data quality checks, validation processes, monitoring, and governance practices to ensure data accuracy and integrity

Communicate technical concepts and infrastructure decisions using plain language to non-technical stakeholders to support effective decision-making and gain buy-in where needed

Serve as a technical leader, mentor junior practitioners, and advance how data engineering supports human-centered design

Stay current on data engineering developments and bring best practices into constrained technical and policy environments

Qualification

Data engineeringBuilding data pipelinesCloud platforms (Azure)PythonSQLDatabricksData quality practicesVersion control (GitHub)Agile project managementVA experienceCross-functional collaborationCommunication skills

Required

5+ years of industry experience in data engineering, with proficiency in building data pipelines, designing data models, and making sense of complex data landscapes (using e.g. Python, SQL, Databricks, Oracle, Azure)

Ability to write clean, maintainable, well-documented code using version control systems like GitHub for collaborative development and code management

Understanding of data quality, validation, and monitoring best practices

Ability to balance technical rigor with practical constraints, ensuring solutions are aligned with stakeholder goals

Experience working with cross-functional teams (data scientists, service designers, product managers) to deliver data solutions that support user experiences and service delivery improvements

Skilled in managing multiple high-profile projects in agile environments, navigating ambiguity, and adapting to changing requirements

Strong communication skills to explain technical concepts and trade-offs to non-technical stakeholders through written and verbal presentations

Ability to proactively share ideas, ask questions, elevate risks, and serve as a bridge between technical and non-technical team members