Senior Data Engineer- US Citizen
Role summary
We are seeking a Senior Data Engineer to join our team in Minneapolis, MN. The role involves designing, developing, and maintaining scalable data pipelines using Apache Spark (PySpark/Scala) and Databricks, including Delta Lake. Responsibilities include ingesting and transforming large datasets, optimizing Spark workloads and Databricks clusters, implementing data quality checks, and collaborating with stakeholders. The ideal candidate will have 5+ years of data engineering experience, strong SQL skills, and familiarity with modern data lake architectures and Git. Flexible work-from-home options are available. Must be a U.S. Citizen and located in or willing to relocate to Minnesota.
Role: Senior Data Engineer- US Citizen
Location: Minneapolis, MN
Rate: Depends on experience
Additional Requirements
- # Must be a U.S. Citizen
- Must be currently located in Minnesota (MN), or willing to relocate
Description
We are looking for Senior Data Engineer to join our dynamic team! With our extensive knowledge in application, data, and cloud engineering services, we strive to create groundbreaking solutions that provide real value to our clients.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Apache Spark (PySpark and/or Scala)
- Build and optimize data workflows on Databricks, including Delta Lake, notebooks, and scheduled jobs
- Ingest, transform, and curate large-scale structured and semi-structured datasets
- Perform performance tuning and cost optimization of Spark workloads and Databricks clusters
- Implement data quality checks, monitoring, and error handling
- Collaborate with analytics and business stakeholders to deliver well-modeled, analytics-ready data
- Support batch processing and, where applicable, streaming data pipelines
- Follow best practices for testing, documentation, security, and version control
Required Qualifications
- 5+ years of experience in Data Engineering or related roles
- Strong hands-on experience with Apache Spark (PySpark or Scala)
- Proven experience working in Databricks environments
- Strong SQL skills and experience with relational and analytical databases
- Experience building and maintaining ETL/ELT pipelines at scale
- Familiarity with modern data lake architectures (Delta Lake preferred)
- Experience with Git-based version control
Flexible work from home options available.