Data Engineer- MDM

Job Title: Data Engineer Duration: 6+ Months Location: Reston, VA- 3 Days Hybrid Job Description: 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: o Amazon ECS o Amazon EC2 o 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. EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.