Senior Data Engineer- US Citizen

Retail Industry

Dallas, Texas

JOB DETAILS
SKILLS
Analysis Skills, Apache Spark, Business Services, Business Transformation, Cloud Computing, Consulting, Cost Control, Data Lake, Data Management, Data Quality, Data Sets, Database Extract Transform and Load (ETL), Enterprise Application Integration (EAI), Error Handling, Git, Information Technology Consulting, Performance Tuning/Optimization, Quality Monitoring, Relational Databases (RDBMS), SQL (Structured Query Language), Scala Programming Language, Scalable System Development, Software Administration, Software Development, Software Engineering, Source Code/Configuration Management (SCM), System Integration (SI), United States Citizen, eBusiness
LOCATION
Dallas, Texas
POSTED
30+ days ago
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
  • Must be a US Citizen

Flexible work from home options available.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.





About the Company

R

Retail Industry