Senior Data Engineer

Eliassen Group
Park Hills, KY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$124,800.0 - $145,600.0
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Extract Transform Load (ETL) Data Systems Systems Analysis Python (Programming Language) MySQL Query Optimization Power BI
+8 more
SQL Stored Procedures Tableau (Software) Toolchain Scripting Snowflake Git Code Restructuring Jenkins

Requirements

  • 5+ years in technology with 3+ years delivering data solutions. \n

  • Strong SQL expertise with experience in stored procedures and complex query tuning. \n

  • Hands-on Python for ELT and scripting. \n

  • ETL/ELT experience, preferably with Informatica or similar platforms. \n

  • CI/CD experience with Jenkins, Git, and related toolchains. \n

  • Systems analysis background with legacy process refactoring. \n

  • Agile team experience and effective written and verbal communication. \n

  • Preferred exposure to MySQL and Snowflake, and cloud concepts in Azure or AWS. \n

  • Business intelligence familiarity with Tableau or Power BI is a plus. \n

Benefits & conditions

nOur client seeks a Senior Data Engineer to design, implement, and maintain data solutions that power personalized customer experiences. The role includes building a new database, modeling data, developing SQL and stored procedures, and creating ELT pipelines with Python. You will collaborate within an Agile environment, advocate for data best practices, and support CI/CD with Jenkins and Git-based workflows.\n \n Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * Implement and maintain CI/CD pipelines, including Jenkins pipelines to deploy Python applications. \n

  • Conduct QA and testing using established methodologies to ensure data quality and reliability. \n

  • Collaborate with cross-functional teams in an Agile framework to deliver data capabilities. \n

  • Analyze legacy processes, perform decomposition, debugging, tuning, and refactoring. \n

  • Contribute to data solution design across single and multi-tenant environments. \n

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