Senior Java/ETL Data Ingestion Engineer

Dovel Technologies, Inc

McLean (VA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
401(k) Retirement Plan
Parental Leave
Life Insurance
Transit Benefits

Job summary

Guidehouse in McLean, VA is seeking a Software Developer (Java / ETL) to design, build, and maintain enterprise data ingestion pipelines and API-based data services using Java and Informatica. You will modernize legacy pipelines with AWS and lakehouse patterns, implement logging and governance, and collaborate with cloud and platform teams to ensure secure, scalable data flows across the organization.

Required: 7+ years in data engineering, 5+ years with ETL tools, and a Bachelor’s degree.

Qualifications

  • Bachelor’s degree required.
  • 7+ years of application and data engineering experience.
  • Strong hands-on development in Java and enterprise integration frameworks.
  • 5+ years with ETL tools (e.g., Informatica) for large-scale data pipelines.

Responsibilities

  • Design, develop, and maintain enterprise data ingestion pipelines, onboarding workflows, and API-based data services using Java and ETL platforms.
  • Modernize legacy data ingestion with AWS and lakehouse architectures, supporting batch and near real-time ingestion.
  • Develop and expose API-driven data services for enterprise data exchange and system interoperability.
  • Implement robust logging, auditing, and monitoring for traceability and reliability across workflows.

Skills

Java
API design
Data ingestion
ETL platforms
Cloud integration

Education

Bachelor’s degree

Tools

Informatica
AWS

Job description

Guidehouse in McLean, VA is seeking a Software Developer (Java / ETL) to design, build, and maintain enterprise data ingestion pipelines and API-based data services using Java and Informatica. You will modernize legacy pipelines with AWS and lakehouse patterns, implement logging and governance, and collaborate with cloud and platform teams to ensure secure, scalable data flows across the organization.

Required: 7+ years in data engineering, 5+ years with ETL tools, and a Bachelor’s degree.

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