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TriTech Enterprise Systems, Inc. Logo

Data/ETL Developer

TriTech Enterprise Systems, Inc.

Salary not specified
Oct 2, 2025
Baltimore, MD, US
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TriTech Enterprise Systems, Inc. (TriTech) is seeking a Data/ETL Developer to support a State of Maryland contract by designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics.

Requirements

  • Minimum 5 + years ETL coding experience
  • Proficiency in programming languages such as Python and SQL for data processing and automation
  • Experience with distributed computing frameworks like Apache Spark or similar technologies
  • Experience with AWS data environment, primarily Glue, S3, DocumentDB, Redshift, RDS, Athena, etc.
  • Experience with data warehouses/RDBMS like Redshift and NoSQL data stores such as DocumentDB, DynamoDB, OpenSearch, etc.
  • Experience in building data lakes using AWS Lake Formation
  • Experience with workflow orchestration and scheduling tools like AWS Step Functions, AWS MWAA, etc.

Responsibilities

  • Design, develop and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process and store structured and unstructured data
  • Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting
  • Develop data reliability, efficiency, and qualify checks and processes
  • Prepare data for data modeling
  • Monitor and optimize data architecture and data processing systems
  • Administer testing and troubleshooting related to performance, reliability, and scalability
  • Design and implement robust, scalable data models to support PMM application, analytics, and business intelligence initiatives

Other

  • Collaboration with multiple teams to understand requirements and objectives
  • Create and update documentation
  • Lead and mentor junior data engineers and team members on AWS best practices and technical challenges
  • Collaborate with UI/API team, business analysts, and other stakeholders to support data- driven decision- making
  • Explore and adopt new technologies within the AWS cloud to enhance the capabilities of the data platform