Job Description:Make your mark at the world’s largest HVAC companyDaikin 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 - HybridWhat 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
