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US - Remote (Any location), United States of America
Remote only
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
We are seeking a Data Infrastructure Engineer to build and operate the data platform that powers AI/ML analytics modules. You will design and implement scalable data ingestion pipelines, robust ETL/ELT, and a modern data lake / delta lake (lakehouse) on AWS. You’ll also 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.
This role is ideal for an engineer who enjoys platform building, automation, and enabling advanced analytics through trusted, well-governed data.
What You Will Do:
Build & Operate Data Pipelines (Batch + Streaming)
Design and implement batch and streaming ingestion from APIs, relational databases, file drops, event streams, and external partners.
Build and optimize ETL/ELT pipelines to produce curated, analytics-ready datasets for reporting and ML consumption.
Implement incremental processing patterns, change data capture (CDC) approaches where appropriate, and data contract standards.
Deliver a Modern Lakehouse (Data Lake / Delta Lake)
Build and manage a scalable lakehouse on AWS object storage (e.g., S3) using open table/file formats and delta/lakehouse concepts (e.g., ACID tables, schema evolution, time travel patterns).
Optimize performance and cost through partitioning, compaction, lifecycle policies, and efficient compute/storage usage.
Establish environment standards for dev/test/prod and consistent promotion across stages.
Metadata, Governance, Lineage & Quality (Trust Layer)
Implement a managed metadata repository for dataset cataloging, ownership, glossary/definitions, tagging, and discoverability.
Enable end-to-end lineage (source → transformations → consumption) to support auditability and impact analysis.
Implement governance controls including policy-based access, data classification, retention, and secure data handling.
Build operational data quality checks (freshness, completeness, validity, anomaly detection) and publish SLAs/SLOs.
AWS Automation + CI/CD for Data Pipelines
Implement automated cloud provisioning in AWS using Infrastructure as Code (IaC) for consistent environments and secure-by-default baselines.
Build and enhance CI/CD for data pipelines, including automated tests, validation gates, promotion workflows, and rollback strategies.
Improve observability with metrics/logs/alerts, dashboards, runbooks, and incident response readiness.
Cross-Team Collaboration & Documentation
Work closely with engineering, security, networking, and application teams to support mission needs and delivery timelines.
Maintain high-quality engineering documentation including SOPs, system diagrams, and secure configuration baselines.
Summarize and present findings and recommendations—both written and verbal—to technical and non-technical stakeholders.
What You Will Need:
Bachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).
Zero(0) to Two(2) Years of experience.
Experience building production data pipelines and/or data platforms.
Knowledge in implementing data ingestion and ETL/ELT workflows, including data modeling and transformation best practices.
Knowledge in building a data lake / delta lake (lakehouse) on AWS (or equivalent cloud) 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).
Knowledge with metadata management and governance: cataloging, lineage, ownership, access controls, classification and policy enforcement.
Knowledge in implementing automated AWS provisioning using IaC and operating across multiple environments.
Proven experience developing RAG applications
Solid security fundamentals: IAM/least privilege, encryption, secrets management, secure SDLC practices.
Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
What Would Be Nice To Have:
Hands-on experience with Databricks
Experience in operating CI/CD pipelines for data workflows (testing, packaging, deployment automation, environment promotion).
Hands-on experience utilizing modern DevOps practices, including tools like Git, Terraform, Jenkins, AWS CodePipeline, and Docker.
Experience utilizing AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Cursor, Kiro) to safely accelerate implementation while maintaining strict code quality through testing, code reviews, and security practices.
Knowledge graph and Graph RAG experience, including:
Graph modeling and ontology/taxonomy alignment
Entity resolution and relationship extraction
Hybrid retrieval approaches combining graph traversal with semantic/vector search to improve grounding and explainability
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
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
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
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected 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 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. 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 @guidehouse.com or guidehouse@myworkday.com. 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 Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s 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.
