Job Family:
Software Development & Support

Travel Required:
None

Clearance Required:
Ability to Obtain Public Trust

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:

• Must be able to OBTAIN and MAINTAIN a Federal or DoD 2PUBLIC TRUST2; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
• Bachelor9s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).
• Minimum of SIX (6) 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 (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).
• 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.

What Would Be Nice To Have:

• Hands-on experience with Databricks
• 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

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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