Data Infrastructure Engineer

US132 Guidehouse Digital, LLC; Tysons (VA); Hybrid; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical

Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Job summary

Guidehouse is seeking a Data Infrastructure Engineer in Tysons, VA to build and operate data pipelines and a lakehouse on AWS. You will implement batch and streaming ingestion, CDC patterns, and a robust metadata governance layer.

The role includes automated provisioning, CI/CD for data workflows, and strong collaboration across teams. You will design scalable ingestion, lineage, data quality checks, and secure data handling, ensuring auditability and repeatable deployments across environments.

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• Minimum of SIX (6) years experience building production data pipelines and/or data platforms.
• 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.

Responsibilities

• Build & Operate Data Pipelines (Batch + Streaming) from APIs, databases, files and streams; create analytics-ready datasets for reporting and ML.
• Deliver a Modern Lakehouse on AWS S3 using open formats and Delta Lake concepts, with partitioning and lifecycle optimization.
• Implement a managed metadata repository for cataloging, lineage, governance, and data quality checks; publish SLAs/SLOs.
• Implement IaC-based AWS provisioning and CI/CD for data pipelines, with tests, gates, promotions, and rollback strategies.
• Collaborate with engineering, security, networking, and application teams; produce SOPs and system diagrams; present findings clearly.

Skills

SQL

Python

Scala/Java

Education

Bachelor's degree in Engineering, IT, Computer Science, or related field

Tools

Databricks

Git

Terraform

Jenkins

AWS CodePipeline

Docker

Job description

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 "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. Bachelor’s 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.

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.

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.

• 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.

Guidehouse is a global AI‑led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future. guidehouse.com