ETL Developer

Guidehouse•McLean, VA
•$113,000 - $188,000

About The Position

Guidehouse is seeking an ETL Developer to design, develop, test, and maintain enterprise ETL/ELT solutions. This role involves creating scalable and high-performance data pipelines for batch and near real-time data processing, building and maintaining data integration workflows using modern ETL tools and cloud-based data platforms, and analyzing source systems to create efficient data mapping, transformation, and validation rules. The developer will also be responsible for optimizing ETL performance, troubleshooting data processing issues, collaborating with various teams to deliver reliable data solutions, developing and maintaining data warehouses and marts, implementing data quality checks, creating technical documentation, supporting production deployments, and ensuring compliance with data governance, security, and privacy standards.

Requirements

  • U.S. Citizenship or Green Card required, with the ability to obtain a Public Trust clearance.
  • Bachelor’s degree in computer science, cybersecurity, engineering, or a related field; four additional years of relevant experience may be substituted in lieu of a degree.
  • Minimum 6 years of hands-on experience in ETL development, data integration, and data warehousing.
  • Strong experience with ETL tools such as Informatica, SSIS, Talend, DataStage, AWS Glue, or similar platforms.
  • Proficiency in SQL and database technologies including SQL Server, Oracle, PostgreSQL, or MySQL.
  • Experience designing complex data transformation, data migration, and integration.
  • Strong understanding of data warehousing concepts, dimensional modeling, and star/snowflake schemas.
  • Experience working with cloud-based data services and modern data platforms.
  • Knowledge of data quality, data governance, and metadata management best practices.
  • Experience with performance tuning, error handling, and troubleshooting large-scale ETL processes.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work effectively in Agile development environments and collaborate across technical and business teams.

Nice To Haves

  • Experience with AWS data services such as AWS Glue, S3, Redshift, Lambda, Athena, and Step Functions.
  • Experience with modern data lake and lakehouse architectures.
  • Knowledge of Python, PySpark, Shell Scripting, or other automation technologies.
  • Experience with CI/CD pipelines and DevOps practices for data engineering.
  • Familiarity with data visualization and analytics tools such as Power BI, Tableau, or QuickSight.
  • Experience supporting federal government or highly regulated environments.
  • Industry certifications related to cloud platforms, data engineering, or database technologies.
  • Experience implementing master data management (MDM) and data governance frameworks.
  • Knowledge of big data technologies such as Spark, Kafka, or Hadoop.
  • Experience mentoring junior developers and leading technical implementation efforts.

Responsibilities

  • Design, develop, test, and maintain enterprise ETL/ELT solutions to integrate data from multiple source systems.
  • Develop scalable and high-performance data pipelines for batch and near real-time data processing.
  • Build and maintain data integration workflows using modern ETL tools and cloud-based data platforms.
  • Analyze source systems and business requirements to create efficient data mapping, transformation, and validation rules.
  • Optimize ETL performance, troubleshoot data processing issues, and implement tuning strategies to improve efficiency.
  • Collaborate with data architects, database administrators, business analysts, and application teams to deliver reliable data solutions.
  • Develop and maintain data warehouses, operational data stores, and reporting data marts.
  • Implement data quality checks, reconciliation processes, and exception handling frameworks.
  • Create and maintain technical documentation, design specifications, and operational runbooks.
  • Support production deployments, incident resolution, and continuous improvement initiatives.
  • Ensure compliance with data governance, security, privacy, and organizational standards.

Benefits

  • 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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service