Slalom Flex (Project Based)- Federal GCP Data Engineer

GCP Data Engineer (U.S. Citizenship Required)
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honored to be consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at slalom.com.
About The Role
We are seeking a GCP Data Engineer with strong BigQuery 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 .
What You Will Do
Data Engineering & Cloud Development

Design, build, and maintain cloud‑native ETL/ELT data pipelines using BigQuery, Dataform, Python, Cloud Composer (Airflow), Cloud Functions, and Cloud Storage.
Develop BigQuery‑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 BigQuery workloads using partitioning, clustering, incremental processing, and cost‑efficient modeling.
Maintain robust CI/CD practices using GitLab or GitHub 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.
Must-Have Qualifications

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 BigQuery
Proficiency in Python for pipeline development, automation, and cloud integration
Experience building data pipelines in GCP, including BigQuery, 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
Nice-to-Have 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 frameworks and testing strategies
Exposure to GCP data governance tools such as Dataplex
Experience with serverless architectures (Cloud Functions, Cloud Run)
Familiarity with JavaScript for Dataform SQLX extensibility
Hands-on experience with orchestration tools (Airflow, Prefect, Dagster, Luigi)
Experience with dbt, Dataform, Databricks, or other analytics engineering tooling
Relevant GCP certifications
Compensation And Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.
Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $55/hr to $75/hr. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration
for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.
Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the
selection process. Please advise the talent acquisition team if you require accommodations during the interview process.