Senior Data Engineer

SBS Creatix United State
Remote
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AI Summary

Join a modern, cloud-first data team supporting a growing suite of technologies. Design, build, and maintain robust data pipelines and ELT/ETL integration solutions. Collaborate in a team-oriented environment and work independently with direction.

Key Highlights
Design and maintain robust data pipelines and ELT/ETL integration solutions
Collaborate in a team-oriented environment and work independently
Work on solutions that drive real business decisions
Key Responsibilities
Design, build, and maintain robust data pipelines and ELT/ETL integration solutions
Provide accurate estimates for ELT tasks and recommend process improvements
Collaborate in a team-oriented environment and work independently
Technical Skills Required
Snowflake Matillion Looker Atlan AWS ELT/ETL SQL CI/CD pipelines DevOps tools GitHub Actions Azure DevOps
Benefits & Perks
Fully remote position
Real flexibility
Smaller-shop environment
Nice to Have
Unit testing for ETL/ELT pipelines and data quality frameworks
Experience with job optimization, and integration with CI/CD pipelines
Ability to mentor junior engineers and lead small projects

Job Description


General Info:

US Citizens or GC Holders only

Must be on our W2- no C2C

Fully Remote

Local candidates preferred- St Louis region

Work Hours/ Shift: Sat–Tues 6am–5pm CST


Overview:

We're hiring two Senior Data Engineers to join a modern, cloud-first data team supporting a growing suite of technologies including Snowflake, Matillion, Looker, and Atlan- all hosted in AWS. This is a fully remote position with real flexibility and the kind of smaller-shop environment where you can actually shape architecture and make an impact.


You'll design, build, and maintain robust data pipelines and ELT/ETL integration solutions that keep data flowing cleanly across systems. If you're passionate about data engineering and want to work on solutions that drive real business decisions, this one's worth a look.


Knowledge, Skills, & Abilities:

  • Ability to create and maintain source-to-target mapping and detailed ELT documentation
  • Skilled in data analysis, mapping, and troubleshooting across all stages of the ELT process
  • Ability to provide accurate estimates for ELT tasks and recommend process improvements
  • Strong problem-solving skills and ability to work in a team-oriented, fast-paced environment
  • Excellent verbal and written communication skills
  • Must be able to both collaborate in a team-oriented environment and work independently with direction
  • Willingness to participate in production on-call support rotation for ETL processing
  • Knowledge of CI/CD pipelines and DevOps tools (e.g., GitHub Actions, Azure DevOps)


Qualifications:

Required:

  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
  • Must currently reside in one of the following states: AL, AZ, FL, GA, ID, IL (excludes Cook County), IA, IN, KS, KY, LA, MD, MI, MO, NV, NM, NC, OH, OK, PA, SC, TN, TX, UT, VA, WV, WI
  • Must be able to work a schedule within U.S. Central Standard Time core business hours.
  • 3+ years of hands-on experience with ETL for data integration and transformation
  • 3+ years of experience writing and tuning complex SQLs, stored procedures, triggers, functions, and error trapping
  • 3+ years of experience in full lifecycle development and end-to-end testing and data validation
  • Experience with Matillion platform
  • Strong experience with AWS services, including Lambda functions and data pipeline orchestration
  • Proven experience implementing Change Data Capture (CDC) strategies
  • Must be committed to incorporating security into all decisions and daily job responsibilities


Preferred:

  • Bachelor’s degree in computer science, Computer Information Systems, Management Information Systems, Engineering, or related field
  • Experience with unit testing for ETL/ELT pipelines and data quality frameworks
  • Strong ability to write complex queries and optimize for large-scale datasets
  • Experience with job optimization, and integration with CI/CD pipelines
  • Ability to mentor junior engineers and lead small projects
  • Experience in Agile/Scrum environments and familiarity with DevOps principles


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