ETL Developer

Guidehouse

United States

À distance

USD 113 000 - 188 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Medical Insurance
401(k) Retirement Plan
Parental Leave
Tuition Reimbursement
Employee Assistance Program
Learning Opportunities

Résumé du poste

Guidehouse is seeking a senior ETL/ELT data engineer to design, develop, test, and maintain enterprise data pipelines and data warehouses across source systems. You will optimize performance, implement data quality, and collaborate with data architects and business teams in an Agile environment.

Responsibilities include building scalable ETL processes in cloud-based platforms, delivering runbooks, and supporting production deployments while ensuring governance and security standards.

Qualifications

  • 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.

Responsabilités

  • 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.

Connaissances

ETL development
Data warehousing
SQL
Cloud data platforms
Agile
Data quality

Formation

Bachelor's degree in computer science or related field

Outils

Informatica
SSIS
Talend
DataStage
AWS Glue
SQL Server

Description du poste

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.

What We Offer

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.

  • 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.

About Guidehouse

Guidehouse is an Equal Opportunity Employer- Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.

Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com.

Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future.

guidehouse.com

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