Senior Unconventional Analytics Engineer

Tek Leaders Inc

Spring (TX)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Tek Leaders Inc. in the United States seeks a Senior Unconventional Analytics Engineer to design and build scalable analytics solutions across data platforms. You will own complex SQL, Python data pipelines, and Databricks-based ETL.

The role emphasizes data modeling, architecture, and data product thinking, with 5+ years in analytics engineering or BI. Long-term engagement with opportunity to impact product decisions and deliverables.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or a related discipline.
  • 5+ years of analytics engineering, data engineering, BI, or advanced analytics experience.
  • Advanced SQL skills with large, complex datasets; strong Python for data engineering.
  • Hands-on Databricks experience and ELT/ETL pipeline design.
  • Understanding of data modeling, data architecture, and data product design principles.

Skills

Advanced SQL
Python
Databricks
ETL pipelines
Data modeling
Data architecture
Data product design

Education

Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or a related discipline

Tools

Databricks Platform

Job description

Role: Senior Unconventional Analytics Engineer

Duration: Long Term

Top Must-Haves:

  • Advanced SQL skills and proven experience working with large, complex datasets.
  • Strong Python programming experience for data engineering and analytics applications.
  • Hands-on experience developing solutions within Databricks.

Required Qualifications

Education: Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or a related discipline.

Experience: 5+ years of experience in analytics engineering, data engineering, business intelligence, or advanced analytics.

Technical Skills:

  • Advanced SQL skills and experience with large, complex datasets.
  • Python programming experience for data engineering and analytics applications.
  • Hands-on experience developing solutions within Databricks.
  • Experience designing and maintaining modern ELT/ETL pipelines.
  • Understanding of data modeling, data architecture, and data product design principles.
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