Senior Java Data Engineer Job Washington area,District of Columbia USA,Software Development

Senior Java Data Engineer (AWS | Databricks | Spring Boot) - Contract

Location: Philadelphia, PA (Hybrid)
Duration: Contract

Build the Data Platform Behind Enterprise Analytics

We're looking for an experienced Java Data Engineer to join a growing Data Engineering team responsible for building the next generation of cloud-based data solutions. In this role, you'll help modernize enterprise data platforms by developing scalable ETL pipelines, enhancing legacy applications, and delivering reliable data assets that power business intelligence and analytics.

This position is ideal for someone who enjoys working across software engineering and data engineering, building cloud-native solutions using AWS, Databricks, and Snowflake while leveraging Java, Spring Boot, and microservices.

What You'll Be Working On

As a member of the Data Engineering team, you will:

Develop and maintain enterprise data pipelines that move and transform data into Databricks.
Build Java applications and microservices that support data processing and integration.
Partner with product owners and engineers to translate business requirements into scalable technical solutions.
Design, develop, and optimize ETL workflows for high-volume datasets.
Build and support cloud-native data solutions using AWS services.
Develop infrastructure using Terraform to automate cloud resource provisioning.
Create and maintain CI/CD pipelines using Git Hub Actions or Concourse.
Improve existing legacy ETL jobs while supporting ongoing cloud migration initiatives.
Perform testing, quality assurance, and technical documentation throughout the software lifecycle.
Provide production support, troubleshoot pipeline issues, and improve platform reliability.
Identify opportunities to eliminate single points of failure and improve system resiliency.
Collaborate with engineers to establish development standards and engineering best practices.

We're Looking For Someone With Required Skills

7+ years of Java software engineering experience
Strong experience with Spring Boot
Experience developing Microservices
Hands-on experience with ETL development or Data Engineering
AWS cloud development experience
Strong SQL skills
Experience with Databricks
Experience with Snowflake
Infrastructure as Code experience using Terraform
Experience with Git Hub Actions, Concourse, or similar CI/CD tools
Strong debugging, troubleshooting, and production support experience
Experience working within Agile development teams

Nice to Have

Experience migrating legacy ETL processes to cloud platforms
Knowledge of Tableau or enterprise reporting environments
Experience supporting analytics platforms
Understanding of data modeling and cloud data architecture
Exposure to Dev Ops and Site Reliability Engineering (SRE) practices

Technologies You'll Use

Programming: Java, SQL
Frameworks: Spring Boot, Microservices
Cloud: AWS
Data: Databricks, Snowflake
Infrastructure: Terraform
CI/CD: Git Hub Actions, Concourse
Reporting: Tableau Cloud
Methodology: Agile

What Makes This Opportunity Exciting

Work on a large-scale cloud modernization initiative.
Build the foundational data pipelines powering enterprise reporting and analytics.
Influence architecture and engineering best practices.
Collaborate with a highly technical team solving complex data engineering challenges.
Gain exposure to modern cloud technologies and large-scale distributed data platforms.

If you're a Java engineer with a passion for cloud technologies, data engineering, and building scalable systems, we'd love to connect with you.

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