Google Cloud Data Engineer

Job Family:

Travel Required:

Clearance Required:

What You Will Do:

Guidehouse is seeking an experienced Data Engineer to join our Technology AI and Data practice within the Defense & Security segment. This individual will have a strong data engineering background and be a hands-on technical contributor responsible for designing implementing and maintaining scalable cloud-native data pipelines which power interactive dashboards that enable federal clients to achieve mission outcomes operational efficiency and digital transformation. This is an exciting opportunity for someone who thrives at the intersection of data engineering Google Cloud technologies and public sector modernization. The Data Engineer will collaborate with cross-functional teams and client stakeholders to modernize legacy environments implement scalable BigQuery-centric data pipelines using Dataform and Python and support advanced analytics initiatives for our federal client within the insurance space.

Client Leadership & Delivery

• Collaborate with government clients to understand enterprise data architecture ingestion transformation and reporting requirements within a Google Cloud Platform (GCP) environment.

• Communicate technical designs tradeoffs and delivery timelines clearly to both technical and non-technical audiences.

• Lead the development of extract-transform-load (ETL) and extract-load-transform (ELT) pipelines using Cloud Composer (GCP hosted Airflow) Dataform and BigQuery to support our analytical data warehouse powering downstream Looker dashboards.

• Adhere to high-quality delivery standards and promote measurable outcomes across data migration and visualization efforts.

Solution Development & Innovation

• Design develop and maintain scalable ETL/ELT pipelines using SQL (BigQuery) Dataform (SQLX) Cloud Storage and Python (Cloud Composer/Airflow Cloud Functions).

• Apply modern ELT/ETL and analytics engineering practices using BigQuery and Dataform to enable version-controlled testable and maintainable data transformations.

• Leverage tools such as Gitlab and Github to manage version control merge requests and promotion pipelines.

• Optimize data pipelines and warehouse performance for large-scale analytical workloads including partitioning clustering incremental processing and cost optimization to enable downstream BI utilizing Looker.

• Validate compliance with federal data governance security and performance standards.

• Design and document enterprise data models metadata strategies data lineage frameworks and other relevant documentation as needed.

• Align data from multiple discrete datasets into a cohesive interoperable architecture identifying opportunities for linkages between datasets normalization field standardization etc.

• Assist with cleanup of existing data and models including use of ETL.

Practice & Team Leadership

• Work closely with data architects data scientists data analysts and cloud engineers to deliver integrated solutions.

• Collaborate across Scaled Agile Framework (SAFe) teams and participate in Agile ceremonies including standups retrospectives and Program Increment (PI) planning.

• Manage tasks and consistently document progress and outcomes using Confluence and Jira.

• Support documentation testing and deployment of data products.

• Mentor junior team members and contribute to reusable frameworks and accelerators.

• Contribute to thought leadership business development and best practice development across the AI & Data team.

What You Will Need:

• US Citizenship and the ability to obtain and maintain a federal Public Trust clearance. Individuals with an active Public Trust clearance are preferred.

• Bachelors degree in computer science engineering mathematics statistics or a related technical field.

• Minimum One (1) to Five (5) years of experience in data engineering within cloud environments.

• Strong proficiency in SQL for data modeling and data quality tests and Python for pipeline design. Comfortable with the command line in Linux for git deploying code to the cloud and interacting with cloud files.

• Experience with orchestration tools including but not limited to Cloud Composer (Airflow) Luigi Prefect Dagster etc.

• Experience with modern analytics engineering toolsets (dbt Dataform Databricks etc.) and familiarity with best practices and methodologies behind the tools (data lineage dependency graphs tags data quality tests etc.).

• Proven experience with business intelligence tools and cloud platforms (AWS Azure GCP).

• Familiarity with CI/CD practices principles and tools such as Gitlab separation of environments and idempotency as it relates to data pipelines.

• Experience building ETL/ELT pipelines and integrating data sources into reporting platforms.

• Familiarity with data governance metadata and compliance frameworks.

• Excellent communication facilitation and stakeholder engagement skills.

What Would Be Nice To Have:

• Masters degree in computer science engineering mathematics statistics or a related technical field.

• Experience in data engineering within cloud environments.

• Familiarity with machine learning (ML) and optimal data configurations to support model workloads.

• Familiarity with Agile project management methodologies and Atlassian toolsets (Confluence Jira).

• Understanding of data quality and data pipeline test procedures and best practices.

• Experience working within matrixed teams of data engineers BI developers and QA engineers.

• Experience implementing cloud data governance and data management tools such as Dataplex.

• Experience with serverless architectures including cloud functions.

• Experience with Javascript to support development in Dataform.

• Experience using LLM-based coding assistants such as Gemini Code Assist to automate and streamline software development tasks.

• Relevant GCP certifications such as GCP Professional Data Engineer GCP Professional Cloud Architect and GCP Professional ML Engineer.

• Experience working with public sector clients.

• Familiarity with federal contracting and procurement processes.

What We Offer:

Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical Rx Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities or to apply for a position and you require an accommodation please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse please report the matter to Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.