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Mind Computing

ETL, Data Integration Developer

Mind Computing

. Design, develop, and maintain ETL processes to extract, transform, and load data across diverse systems and platforms .

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $105,000 - $125,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudETLHadoopKafkaOraclePostgresPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain ETL processes to extract, transform, and load data across diverse systems and platforms
  • Collaborate with business analysts, data architects, and other stakeholders to gather requirements and ensure solutions meet business needs
  • Develop and optimize data pipelines for efficient data movement and transformation, ensuring scalability and performance
  • Build data integration workflows using tools available in the AWS suite of cloud applications
  • Perform data validation, profiling, and cleansing to ensure data accuracy and integrity
  • Implement best practices for data integration, security, and governance, ensuring compliance with federal guidelines
  • Troubleshoot and resolve data integration issues, providing ongoing support for production systems
  • Document data flows, system processes, and technical specifications to support development and maintenance
  • Work with and transform x12 healthcare claims related transactions
  • Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Data Science, or a related field
  • 3+ years of experience in ETL development and data integration projects
  • Proficiency in AWS Cloud tools/products
  • Strong experience with SQL, relational databases (e.g., PostgreSQL, Oracle, SQL Server), and data modeling
  • Knowledge of ETL patterns and best practices for data processing and x12
  • Familiarity with cloud-based data services such as AWS Glue
  • Strong problem-solving skills with the ability to debug and optimize complex data workflows
  • Experience with Federal IT projects or large-scale data migration initiatives
  • Knowledge of big data technologies such as Hadoop, Spark, or Kafka
  • Proficiency in scripting languages like Python or R for data transformations
  • Certification in data integration tools or cloud platforms
  • Ability to obtain government clearance.

Benefits

Comp & perks
  • Medical/Dental/Vision
  • PTO + Federal Holidays
  • Corporate Laptop
  • Training opportunities
  • Remote work options

ATS Keywords

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Hard Skills & Tools
ETL developmentdata integrationSQLrelational databasesdata modelingAWS Cloud toolsAWS Gluebig data technologiesPythonR
Soft Skills
problem-solvingcollaborationcommunicationdocumentationtroubleshootingagile methodologyadaptabilityteamworkattention to detailcritical thinking
Certifications
data integration tools certificationcloud platforms certification