Data Engineer

Guidehouse

Manager in Guidehouse’s AI & Data practice designing and implementing modern cloud-native data platforms for federal clients. Leading architecture and mentoring engineers in high-quality delivery.

Posted 5/21/2026full-timeSan Antonio • Colorado, Texas • 🇺🇸 United StatesSeniorLead💰 $106,000 - $176,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Serve as a hands-on technical leader and delivery manager designing and implementing modern cloud-native data platforms for federal clients.
Lead architecture decisions, mentor engineers, and ensure high-quality, secure, and scalable delivery aligned to mission outcomes.
Architect and lead delivery of AWS-based lakehouse solutions using Databricks.
Design, build, and optimize ETL/ELT pipelines leveraging Databricks, Apache Spark, Delta Lake, Python, and SQL.
Define and enforce data architecture standards including ingestion patterns, performance tuning, and cost optimization.
Implement production-grade engineering practices, including data quality validation, reconciliation, and monitoring.
Apply data security and governance controls appropriate for federal and defense environments.
Partner with client stakeholders and product owners to translate mission and business requirements into technical designs.
Lead and mentor data engineers through code reviews, architecture reviews, and delivery execution.
Establish and mature CI/CD pipelines for Databricks workloads and supporting infrastructure.

Requirements

What you’ll need

US Citizenship required.
An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
Bachelor’s degree obtained or equivalent experience.
Seven (7+) years of progressive experience in data engineering, data platform delivery, or data architecture roles, including leading technical teams or workstreams.
Strong hands-on experience with AWS data platforms, including designing and operating production systems leveraging Databricks on AWS.
Deep expertise with Apache Spark, Databricks, Delta Lake, Python, and SQL, including performance tuning of distributed workloads.
Experience designing scalable, secure data architectures that support analytics, reporting, and advanced use cases (e.g., AI/ML enablement).
Familiarity with Agile delivery methods and proven ability to collaborate effectively with cross-functional and client teams.
Strong written and verbal communication skills, including the ability to explain complex technical topics to non-technical stakeholders.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata platform deliverydata architectureETLELTApache SparkDatabricksDelta LakePythonSQL

Soft Skills

leadershipmentoringcommunicationcollaborationproblem-solvingtechnical designcode reviewsarchitecture reviewsdelivery executionstakeholder engagement

Certifications

Bachelor's degreeSECRET Federal security clearance