We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Data Engineer

Daikin Applied
medical insurance, life insurance, vision insurance, parental leave, paid time off, paid holidays, sick time, tuition reimbursement, 401(k), retirement plan
13600 Industrial Park Boulevard (Show on map)
Jul 30, 2025

Make your mark at the world's largest HVAC company

Daikin Applied is seeking a talented Data Engineer. The Data Engineer will build and optimize scalable data pipelines and infrastructure. You will work with cross-functional teams to design, implement, and maintain efficient data processing systems that support analytics, machine learning, and business intelligence. This role is critical in ensuring the availability, reliability, and quality of data across the organization. Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!

Location: Plymouth, MN - Hybrid

What you will do:



  • Design, build, and maintain ETL/ELT pipelines to ingest, transform, and store data from multiple sources
  • Optimize data processing workflows for performance, reliability, and scalability
  • Implement real-time and batch data processing using technologies like Apache Spark, Kafka, and Databricks
  • Develop and manage data lakes, warehouses, and lakehouses (Azure Databricks)
  • Ensure efficient data partitioning, indexing, and schema design for optimized query performance
  • Work with structured and unstructured data across SQL and NoSQL databases
  • Implement data validation, cleansing, and monitoring to ensure high-quality datasets
  • Implement data governance, security, and compliance policies (e.g., GDPR, CCPA)
  • Maintain metadata management, data lineage, and documentation for data assets
  • Deploy and manage data solutions on cloud platforms (Azure, Databricks)
  • Utilize serverless and distributed computing for large-scale data processing
  • Optimize query performance, cost efficiency, and storage utilization
  • Stay updated with the latest advancements in data engineering, cloud computing, and analytics technologies


  • Partner with data analysts, and software engineers to support analytics initiatives



Minimum Qualifications:



  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of Data architecture or a related field, with a strong understanding of cloud-based data solutions
  • Extensive experience with data ingestion pathways including ADF
  • Proficiency in Python, SQL, or Scala for data processing
  • Experience with cloud data services (Azure Data Factory, Databricks)
  • Hands-on experience with big data frameworks (Apache Spark, Hadoop, Databricks)
  • Strong knowledge of data modeling, database optimization, and API-based data integration
  • Proficiency in designing and implementing Medallion Architecture
  • Work visa sponsorship is not available for this position



Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:



  • Multiple medical insurance plan options + dental and vision insurance
  • 401K retirement plan with employer contributions matching 100% of the first 3% of employee contributions and 50% on the next 2% of employee contributions
  • Company provided life insurance + optional employee paid voluntary life insurance, dependent life coverage and voluntary accident coverage
  • Short term and long-term disability
  • 3 weeks of paid time off for new employees + 11 company paid holidays
  • Vacation accrues on a monthly basis, unless applicable federal, state and local law requires a faster accrual
  • Paid sick time in accordance of the federal, state and local law
  • Paid parental leave and tuition reimbursement after 6 months of continuous service



The typical annual base salary for this position ranges from $90,000 - $148,000 (+ 10-15% bonus) in Minnesota. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.

#LI-RS1, #LI-hybrid

Applied = 0

(web-6886664d94-5gz94)