Senior Data Engineer (Remote) — PySpark, Databricks & AWS

Torentify

United States

Remote

USD 140,000 - 190,000

Full time

10 days ago
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Benefits offered by this job

Remote work
Flexible hours
Health insurance
Dental insurance
401(k)
Dev fund
PTO 15 days
Soft skills courses
Enterprise projects
Collaborative culture

Job summary

Lumenalta is hiring a Senior-Level Data Engineer for its fully remote engineering team. You will design, build, and maintain scalable data solutions for enterprise clients, handling large datasets with Python, SQL, PySpark, AWS, and Databricks.

Join a distributed team to deliver robust ETL pipelines and data processing architectures that drive measurable business impact across industries.

Qualifications

  • 7+ years of professional experience in Data Engineering.
  • Strong proficiency in Python.
  • Advanced SQL skills and experience working with raw SQL queries.
  • Hands-on experience with PySpark.
  • Professional experience working with AWS cloud services.
  • Strong hands‑on experience with Databricks.
  • Experience designing and implementing ETL pipelines.
  • Ability to work with large and complex datasets.
  • Strong analytical and problem‑solving skills.
  • Excellent spoken and written English communication skills.
  • Ability to work effectively in a remote and collaborative environment.

Responsibilities

  • Design, develop, and maintain scalable ETL and data processing pipelines.
  • Build robust data pipelines from the ground up.
  • Process and analyze large, complex datasets using Python and SQL.
  • Develop distributed data processing solutions using PySpark.
  • Work extensively with Databricks to build and manage modern data solutions.
  • Utilize AWS cloud services to support data engineering workflows.
  • Optimize data pipelines for performance, scalability, reliability, and maintainability.
  • Ensure data solutions meet business and technical requirements.
  • Collaborate with engineering and consulting teams to deliver enterprise-grade data solutions.
  • Troubleshoot data pipeline issues and implement effective technical solutions.
  • Contribute to data architecture and engineering best practices.

Skills

Python
SQL
PySpark
Databricks
AWS
ETL pipelines
Data architecture

Tools

SQL tooling
Cloud services

Job description

Lumenalta is hiring a Senior-Level Data Engineer for its fully remote engineering team. You will design, build, and maintain scalable data solutions for enterprise clients, handling large datasets with Python, SQL, PySpark, AWS, and Databricks.

Join a distributed team to deliver robust ETL pipelines and data processing architectures that drive measurable business impact across industries.

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