Lead Data Engineer at Snowrelic Inc
Omaha, Nebraska, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Aug, 25

Salary

90000.0

Posted On

28 May, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Optimization, Etl, Azure, Data Warehousing, Modeling, Datastage, Mentoring, Communication Skills, Dbt, Performance Tuning, Computer Science, Health Insurance, Sql, Python, Cross Team Collaboration, Dental Insurance

Industry

Information Technology/IT

Description

TOP SKILLS:

  • 10 years of experience in ETL/ELT development (Informatica, DataStage, DBT)
  • Advanced SQL programming (8–10 years)
  • Strong Python or shell scripting skills (8–10 years)
  • 5+ years of experience with cloud data platforms (AWS, Azure, or GCP)
  • Expertise in data warehousing, dimensional and relational modeling
  • Strong database performance tuning and optimization
  • Proven leadership in mentoring, task delegation, and cross-team collaboration
  • Agile methodology experience preferred

QUALIFICATIONS:

  • Bachelor’s degree in Computer Science, MIS, or related field with 10+ years of experience; or Master’s with 8+ years; or equivalent practical experience
  • Deep experience with data warehousing, ETL/ELT tools, and cloud-based data platforms
  • Strong scripting and programming ability in Python or shell
  • Proven ability to lead and collaborate in Agile teams
  • Strong communication skills and a customer-focused mindset
    Job Types: Full-time, Permanent
    Pay: $80,000.00 - $90,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance

Schedule:

  • Monday to Friday

Education:

  • Bachelor’s (Required)

Experience:

  • ETL: 10 years (Required)
  • SQL: 8 years (Required)
  • Python: 8 years (Required)

Work Location: On the roa

Responsibilities
  • Design, develop, and maintain ETL/ELT workflows to support structured and semi-structured data ingestion into data warehouses and operational data stores.
  • Work closely with developers, analysts, and business partners to understand data requirements, define transformation logic, and deliver production-ready solutions.
  • Guide junior engineers by providing technical direction, performing code reviews, and modeling best practices for performance and maintainability.
  • Perform source-to-target mapping, data profiling, and transformation validation to uphold data quality across systems.
  • Lead production support efforts, troubleshoot critical issues, and oversee deployment through change management processes.
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