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Senior ETL Developer

LinkedIn Resolution Technologies, Inc. Nashville, TN
Mid-Senior level Posted April 17, 2026 Job link
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Requirements
  • 6 years of ETL, development, and /or database architectural design experience.
  • 2 years of experience with writing and optimizing existing complex SQL queries.
  • 2 years of database application development experience
  • 3 years of professional experience with database technologies and ETL/ELT tools and scripting.
  • Knowledge of modernizing or consolidating legacy siloed databases.
  • Strong knowledge across multiple database technologies including both columnar and row indexed relational DBs such as Vertica and SQL Server.
  • Knowledge of schema driven design, development, and administration.
  • Advanced knowledge of SQL, relational databases, query authoring
  • Ability to execute SQL, T-SQL, ETL/ELT scripting, and automation techniques.
  • Knowledge of common tools for Linux (logs, piping, redirections, grep, sed, yum)
  • Knowledge of Linux scripting (Python, Perl, shell scripts)
  • Experience with architecting data modeling and meeting requirements for data visualization or reporting tools
  • Knowledge of data concepts around change data capture, and slowly changing dimensions Senior ETL Developer Key Responsibilities:
  • Creates, develops, modifies, and maintains data pipelines for internal and external facing data applications as part of an Agile/SCRUM engineering team.
  • Mentors and develops junior engineers through code reviews, co-development and best practices.
  • Assembles large and complex data sets that meet business requirements.
  • Develops design patterns, standards, documentation, etc. and works with other developers for implementation.
  • Provide data integration oversight for Third Party integrations and database core components.
Preferred Skills
  • Senior ETL Developer Preferred Skills:
  • Knowledge of modernizing or consolidating legacy siloed databases.
  • Strong knowledge across multiple database technologies including both columnar and row indexed relational DBs such as Vertica and SQL Server.
  • Knowledge of schema driven design, development, and administration.
  • Advanced knowledge of SQL, relational databases, query authoring
  • Ability to execute SQL, T-SQL, ETL/ELT scripting, and automation techniques.
  • Knowledge of common tools for Linux (logs, piping, redirections, grep, sed, yum)
  • Knowledge of Linux scripting (Python, Perl, shell scripts)
  • Experience with architecting data modeling and meeting requirements for data visualization or reporting tools
  • Creates, develops, modifies, and maintains data pipelines for internal and external facing data applications as part of an Agile/SCRUM engineering team.
  • Assembles large and complex data sets that meet business requirements.
  • Provide data integration oversight for Third Party integrations and database core components.
Education
  • (Not required) – Education: Bachelor's or master's degree in computer science, Computer Engineering, IT, or a closely related technical field.