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Guidehouse

Data Engineer

Guidehouse

Data Engineer I developing pipelines, cloud platforms, and analytics solutions for Guidehouse. Supporting government and commercial clients across data integration, modernization, and quality assurance.

Posted 8/10/2026full-timeSan Antonio • Alabama, North Carolina, Ohio, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $53,000 - $88,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data pipelines, ETL/ELT processes, and cloud-based data solutions using Python, SQL, and AWS or Azure. Strong analytical and problem-solving skills are essential for troubleshooting and ensuring data quality.

Highest-signal resume keywords
Data Pipeline DevelopmentETL/ELT ProcessesCloud-Based Data SolutionsPython ProgrammingAWS or Azure Familiarity

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonSQLPySparkData IntegrationETLData WarehousingData ValidationData ModelingRelational DatabasesData Querying
Soft Skills
Analytical SkillsProblem-SolvingTroubleshootingCommunicationCollaboration
Tools & Technologies
AWSAzureGitDatabricksPower BITableauKibanaCI/CD ToolsAgile MethodologiesDevOps Practices
Certifications & Qualifications
AWS CertificationAzure CertificationData Engineering Certification
Industry Keywords
Data EngineeringCloud ComputingHealthcarePublic SectorFederal Clients

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureCloudETLJavaPySparkPythonSparkSQLTableau

About the role

Key responsibilities & impact
  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources
  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions
  • Participate in data integration, migration, and modernization initiatives under senior engineer guidance
  • Develop and maintain scripts, queries, and applications using Python, SQL, and PySpark
  • Support cloud-based data environments and services in AWS and Azure
  • Assist with CI/CD processes and software development best practices using Git and related tools
  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution
  • Perform data validation and quality assurance activities
  • Collaborate with data engineers, developers, analysts, and stakeholders to deliver solutions
  • Document technical processes, data flows, and system configurations
  • Continuously develop technical skills and stay current with data engineering technologies and best practices

Requirements

What you’ll need
  • Must be able to obtain and maintain a Federal or DHS Public Trust
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field
  • Experience in data engineering, software engineering, data analytics, computer science, or a STEM-related technical discipline
  • Foundational knowledge of Python, Java, or SQL
  • Basic understanding of relational databases and data querying concepts
  • Familiarity with AWS or Azure through coursework, certifications, internships, or professional experience
  • Exposure to data integration, ETL, data warehousing, or analytics concepts
  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development is nice to have
  • Exposure to Databricks, Spark, or large-scale data processing technologies is nice to have
  • Familiarity with Git is nice to have
  • Basic understanding of software development lifecycle and Agile methodologies is nice to have
  • Strong analytical, problem-solving, troubleshooting, communication, and collaboration skills
  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB is nice to have
  • Experience with Power BI, Tableau, or Kibana is nice to have
  • Exposure to CI/CD tools and DevOps practices is nice to have
  • AWS, Azure, Databricks, or related cloud/data certifications are nice to have
  • Experience supporting healthcare, public sector, or federal clients is nice to have
  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics is nice to have
  • Previous consulting, client-facing, internship, or cooperative education experience is nice to have

Benefits

Comp & perks
  • 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.)
  • Discretionary variable incentive bonus may be available