ETL Developer

Job Family : Software Development & Support Travel Required : None Clearance Required : Ability to Obtain Public Trust What You Will Do : 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. What You Will Need : 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. What Would Be Nice To Have : 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. 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.

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. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Parental Leave 401(k)