Flex; Project Federal GCP Data Engineer

(U.S. Citizenship Required)

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(U.S. Citizenship Required)

About The Role

We are seeking a GCP Data Engineer with strong Big Query experience to support a major federal engagement focused on disaster recovery, data modernization, and mission‑critical analytics for FEMA. This role is a hands‑on engineering position working within a secure Google Cloud Platform environment to design, build, and optimize scalable data pipelines and analytics capabilities that enable high‑quality insights and operational excellence for our federal client.

This position requires U.S. citizenship and the ability to obtain and maintain a Public Trust clearance
.

Data Engineering & Cloud Development

• Design, build, and maintain cloud‑native ETL/ELT data pipelines using Big Query, Dataform, Python, Cloud Composer (Airflow), Cloud Functions, and Cloud Storage.
• Develop Big Query‑centric data models, transformations, and analytics layers supporting downstream Looker dashboards and federal reporting needs.
• Implement modern analytics engineering practices, including version‑controlled SQLX (Dataform), modular transformations, data quality checks, and documentation.

Client Leadership & Delivery

• Collaborate with federal stakeholders to understand data ingestion, transformation, governance, and reporting requirements.
• Translate technical designs and delivery timelines for both technical and non‑technical audiences.
• Support modernization of legacy data environments into scalable GCP‑based architectures.
• Ensure all solutions align with federal data governance, security, and performance standards.

Solution Optimization & Innovation

• Optimize Big Query workloads using partitioning, clustering, incremental processing, and cost‑efficient modeling.
• Maintain robust CI/CD practices using Git Lab or Git Hub for version control, merge requests, and promotion pipelines.
• Develop and maintain data lineage, metadata documentation, and enterprise data models.
• Identify linkages across disparate datasets to build unified, interoperable data architectures.
• Perform cleanup of existing datasets and transformation logic where needed.

Collaboration & Team Leadership

• Work closely with data architects, BI developers, cloud engineers, and data scientists.
• Participate in SAFe Agile ceremonies including daily standups, retrospectives, and PI planning.
• Track work in Jira and maintain documentation in Confluence.
• Support testing, deployment, and quality assurance of data products.
• Mentor junior data engineering team members and contribute to best‑practice frameworks.

• U.S. citizenship
• Ability to obtain and maintain a federal Public Trust clearance
• 3+ years of experience in cloud-based data engineering
• Strong hands-on expertise with Google Big Query
• Proficiency in Python for pipeline development, automation, and cloud integration
• Experience building data pipelines in GCP, including Big Query, Dataform, Airflow/Cloud Composer, Cloud Functions, or similar
• Strong SQL skills, including data modeling and data quality testing
• Experience with Git-based version control and CI/CD concepts
• Familiarity with data governance, metadata management, and compliance considerations
• Strong communication and stakeholder engagement skills

• Experience supporting federal or regulated environments
• Familiarity with Looker and downstream BI enablement
• Understanding of ML workloads or data structures optimized for modeling
• Experience with Agile/Scrum or SAFe
• Knowledge of data quality…