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Guidehouse

Advises agencies and runs regulated operations

ETL Developer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A bachelor's degree in computer science, cybersecurity, engineering, or a related field is required; four additional years of relevant experience may substitute for the degree.
  • At least 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.
  • U.S. citizenship or U.S. permanent residence is required, along with the ability to obtain a Public Trust clearance.

Responsibilities

  • Design, develop, test, and maintain enterprise ETL/ELT solutions to integrate data from multiple source systems.
  • Develop scalable, 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.

Desired Qualifications

  • 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.

About the Company

Guidehouse

Advises agencies and runs regulated operations

Guidehouse advises government agencies and companies in regulated industries on strategy, technology and day-to-day operations. Its work combines business advice with software implementation and ongoing management, so a client uses the same firm to plan a change, build the systems and run the resulting processes. Teams modernize cloud platforms, apply data analysis and artificial intelligence, and redesign organizations to meet operating and regulatory requirements. Clients pay for consulting projects and technology work or outsource continuing business functions to its managed services teams. Guidehouse was founded in 2018 and is headquartered in McLean, Virginia.

Company size
10,001+
Company stage
Acquired
Total funding
$750K
Headquarters
McLean, VA
Founded
2018

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