Job Overview
Location
US - Remote (Any location)
Job Type
Full-time
Category
Data Engineer
Date Posted
April 10, 2026
Full Job Description
đź“‹ Description
- • Build and operate the data platform that powers AI/ML analytics modules by designing and implementing scalable data ingestion pipelines, robust ETL/ELT, and a modern data lake/delta lake (lakehouse) on AWS.
- • Establish a managed metadata repository and governance layers (catalog, lineage, quality, access controls) and deliver automated cloud provisioning plus CI/CD for data pipelines to enable reliable, repeatable deployments across environments.
- • Work with engineering, security, networking, and application teams to support mission needs and maintain high-quality engineering documentation including SOPs, system diagrams, and secure configuration baselines.
- • Gain expertise in building trusted, well-governed data platforms that enable advanced analytics, with hands-on experience in AWS, data lakehouse architectures, metadata management, and CI/CD for data workflows.
🎯 Requirements
- • Must be able to obtain and maintain a Federal or DoD Public Trust clearance.
- • Bachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).
- • Minimum of four (4) years experience building production data pipelines and/or data platforms.
- • Strong experience implementing data ingestion and ETL/ELT workflows, including data modeling and transformation best practices.
- • Hands-on experience building a data lake/delta lake (lakehouse) on AWS using object storage and modern table formats/patterns.
- • Proficiency in SQL and one programming language commonly used for data engineering (Python preferred; Scala/Java acceptable).
- • Experience with metadata management and governance: cataloging, lineage, ownership, access controls, classification, and policy enforcement.
- • Experience implementing automated AWS provisioning using IaC and operating across multiple environments.
- • Experience building or operating CI/CD pipelines for data workflows (testing, packaging, deployment automation, environment promotion).
- • Solid security fundamentals: IAM/least privilege, encryption, secrets management, secure SDLC practices.
🏖️ Benefits
- • Medical, Rx, Dental & Vision Insurance
- • Personal and Family Sick Time & Company Paid Holidays
- • Parental Leave
- • 401(k) Retirement Plan
- • Group Term Life and Travel Assistance
- • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
- • Transit and Parking Commuter Benefits
- • Short-Term & Long-Term Disability
- • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- • Employee Referral Program
- • Corporate Sponsored Events & Community Outreach
- • Care.com annual membership
- • Employee Assistance Program
- • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
- • Position may be eligible for a discretionary variable incentive bonus
Skills & Technologies
About Guidehouse Inc.
Guidehouse Inc. is a global consulting and managed services provider formed in 2018 from the public sector practice of PwC. The company advises public and commercial clients on strategy, technology, risk management, and operations, focusing on energy, financial services, health, defense, and cybersecurity. With 18,000 professionals in over 60 offices worldwide, it delivers implementation support, managed services, and digital solutions to federal agencies, utilities, and Fortune 500 organizations. Guidehouse is majority-owned by Veritas Capital and partners with governments and businesses to address complex regulatory, operational, and innovation challenges.
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