If you’re ready to own the data that drives real business decisions, this is your chance to build systems that leadership actually relies on.
Competitive salary of $110k-$130k based on experience
Full-time, permanent position with a consistent schedule
401(k) with company matching
Health, dental, and vision insurance
Life insurance coverage
Paid time off
Employee discounts on innovative HVAC products
Retirement plan options
Work directly with leadership and make a visible impact on business strategy
Join a fast-growing HVAC manufacturer known for innovation and quality
Be part of a team that values data-driven decision-making and forward thinking
Opportunity to build and shape the company’s data infrastructure from the ground up
Collaborate with cross-functional teams that respect and rely on your expertise
Design, build, and maintain scalable data pipelines for ETL processes in Hickory, KY
Transform raw data into clean, actionable datasets for reporting and analytics
Collaborate with stakeholders to translate business needs into data solutions
Develop dashboards, reports, and visualizations using tools like Tableau and Power BI
Implement predictive models to improve customer experience and business outcomes
Optimize data architecture, query performance, and warehouse design
Manage API integrations and data streams across multiple platforms
Ensure data integrity, security, and compliance with best practices
Utilize technologies such as Oracle NetSuite Analytics Warehouse, OCI, OAC, Spark, Python, Redshift, Glue, and S3
Hiring Expectations: Apply today, complete a quick phone screening, and get ready for an interview with our team to discuss your goals and experience.
8+ years of experience as a Data Engineer
5+ years of NetSuite and NetSuite Analytics Warehouse experience
Strong expertise in data warehouse architecture and design
Hands-on experience with Oracle Database 19c and PL/SQL
Proficiency with Oracle Cloud Infrastructure and Oracle Analytics Cloud
Advanced SQL skills, including window functions, performance tuning, and query optimization
Experience with indexing, partitioning, and execution plans
Experience with big data and analytics tools such as Hadoop, Hive, Spark, EMR, Redshift, Snowflake, or Databricks
Proficiency in at least one scripting language such as Python, Java, or R
Strong understanding of schema design and working with unstructured data
Experience building automated data pipelines and workflows
Commitment to data privacy, integrity, and security best practices
Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, or related field
Ability to work on-site in Hickory, KY
MRCOOL is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status. #yellow
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