Lead Data Engineer with Databricks and PySpark

Overview

Remote
65 - 75
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Databricks
PySpark
python
Azure

Job Details

Greeting from Accionlabs;

Job Title: Senior Data Engineer with Databricks and PySpark
Location: Remote
Key Responsibilities
  • Design and implement scalable data processing pipelines using Databricks and PySpark.
  • Develop and optimize ETL workflows for ingestion, transformation, and storage of large datasets.
  • Collaborate with data architects and analysts to ensure data models and transformations align with business goals.
  • Troubleshoot performance bottlenecks in data processing and improve runtime efficiency.
  • Ensure code quality, data integrity, and adherence to best practices for distributed data systems.
Required Skills
  • Strong hands-on experience with Databricks and PySpark.
  • Proven track record of building production-grade data pipelines in distributed environments.
  • Deep understanding of data processing frameworks, job orchestration, and optimization techniques.
  • Strong problem-solving skills and the ability to work independently in a fast-paced environment.
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