Data Engineer

Location : Reston VA

Duration: Fulltime

We are seeking a skilled Data Engineer with experience designing building and supporting enterprise data solutions including Master Data Management applications (Preferred) cloud-native services and modern data platforms. The ideal candidate will have strong hands-on experience with Java enterprise development AWS microservices Redshift Aurora PostgreSQL SQL/PLSQL GitLab and Terraform.

This role will support the development enhancement and operational stability of data capabilities that enable enterprise data management integration analytics and downstream business consumption.

Ideal Candidate Profile

The ideal candidate is a hands-on data engineer who can work across application development database engineering cloud infrastructure and production support. They should be comfortable building scalable data services supporting enterprise MDM capabilities and working closely with cross-functional teams to deliver secure reliable and maintainable solutions.

Key Responsibilities

• Design build enhance and support Master Data Management applications and related data services. (Preferred)
• Develop and maintain enterprise-grade applications using Java and related frameworks.
• Build and support cloud-native microservices on AWS leveraging services such as:
  • Amazon ECS
  • Amazon EC2
  • AWS Lambda
• Design and implement scalable data solutions using Amazon Redshift and Amazon Aurora PostgreSQL.
• Develop optimize and troubleshoot complex database logic using SQL and PL/SQL.
• Build and maintain automated deployment pipelines using GitLab CI/CD.
• Develop and manage cloud infrastructure using Terraform and infrastructure-as-code practices.
• Support data ingestion transformation integration and distribution patterns across enterprise platforms.
• Collaborate with business data management architecture and technology teams to understand requirements and deliver reliable solutions.
• Support production incidents root-cause analysis performance tuning and ongoing operational improvements.
• Ensure solutions follow enterprise standards for security scalability availability logging monitoring and compliance.
• Participate in code reviews technical design discussions and release planning activities.

Required Experience

• Experience building and supporting a Master Data Management application.
• Strong hands-on experience with Java enterprise application development.
• Experience designing and building cloud-native microservices in AWS.
• Hands-on experience with AWS services including ECS EC2 and Lambda functions.
• Experience working with Amazon Redshift for data warehousing and analytics workloads.
• Experience working with Amazon Aurora PostgreSQL or PostgreSQL-based relational databases.
• Strong database development skills using SQL and PL/SQL.
• Experience building and managing CI/CD pipelines using GitLab.
• Experience provisioning and managing infrastructure using Terraform.
• Strong understanding of data integration data quality metadata and enterprise data management concepts.
• Ability to troubleshoot application data and infrastructure issues across distributed systems.

Preferred Qualifications

• Experience supporting enterprise-scale data platforms or regulated business environments.
• Familiarity with data governance reference data golden record management survivorship rules and data stewardship workflows.
• Experience with API-based data distribution and service-oriented architecture.
• Knowledge of AWS monitoring logging and security patterns.
• Experience working in Agile delivery teams with product owners architects engineers and operations teams.
• Ability to translate business requirements into technical design and implementation plans.

Technical Skills

• Languages: Java SQL PL/SQL
• Cloud: AWS ECS EC2 Lambda
• Databases / Data Platforms: Amazon Redshift Amazon Aurora PostgreSQL PostgreSQL
• DevOps / IaC: GitLab CI/CD Terraform
• Architecture: Microservices APIs data integration enterprise application design
• Data Domain: Master Data Management enterprise data management data quality data governance