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 sourcesOptimize data processing workflows for performance, reliability, and scalabilityImplement real-time and batch data processing using technologies like Apache Spark, Kafka, and DatabricksDevelop and manage data lakes, warehouses, and lakehouses (Azure Databricks)Ensure efficient data partitioning, indexing, and schema design for optimized query performanceWork with structured and unstructured data across SQL and NoSQL databasesImplement data validation, cleansing, and monitoring to ensure high-quality datasetsImplement data governance, security, and compliance policies (e.g., GDPR, CCPA)Maintain metadata management, data lineage, and documentation for data assetsDeploy and manage data solutions on cloud platforms (Azure, Databricks)Utilize serverless and distributed computing for large-scale data processingOptimize query performance, cost efficiency, and storage utilizationStay updated with the latest advancements in data engineering, cloud computing, and analytics technologiesPartner with data analysts, and software engineers to support analytics initiatives

 

Minimum Qualifications: 

Bachelor’s degree in Computer Science, Engineering, or a related field8+ years of Data architecture or a related field, with a strong understanding of cloud-based data solutionsExtensive experience with data ingestion pathways including ADFProficiency in Python, SQL, or Scala for data processingExperience 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 integrationProficiency in designing and implementing Medallion ArchitectureWork 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 contributionsCompany provided life insurance + optional employee paid voluntary life insurance, dependent life coverage and voluntary accident coverageShort term and long-term disability3 weeks of paid time off for new employees + 11 company paid holidaysVacation accrues on a monthly basis, unless applicable federal, state and local law requires a faster accrualPaid sick time in accordance of the federal, state and local lawPaid 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

If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!