What you will do: Design and develop data pipelines and transformations to extract, load and transform (ELT) data from source systems into data platforms for further processing and analysis Develop robust data solutions and streamline diverse datasets into simplified models to promote self-service Take responsibility for data mapping, business logic, transformations, and data quality Develop strong understanding of business value of data sets for analytics or machine learning models Support and maintain existing platforms while transitioning to newer technology stacks and architectures Support data scientists and data analysts in assessing, analyzing, and visualizing data, ensuring that data is accurate, reliable, and traceable Follow enterprise guidelines and best practices to ensure a consistent approach across the organization Stay up to date with emerging technologies and trends in the data engineering and cloud space and willingness to learn and use new tools and platforms that can improve efficiency What you will bring: 2-4 years of experience with creating data pipelines utilizing Python, PySpark, SQL, or any other programming language in Cloud based environments Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse) Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto Experience with Cloud environments, preferably GCP and AWS Strong communication skills, with the ability to work in a team and collaborate with other data professionals and business stakeholders Preferred Qualifications: Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto Familiarity with Self Service Tools such as Dataiku and Tableau Agile experience Familiarity with ERP and CRM Systems Annual Base Salary Range or Hourly Base Pay Range: $107,540.00 - $137,200.00 Compensation Type: Salary Incentive Eligible: No Sales Commission Eligible: No Disclaimer : We strive to provide competitive compensation for this position, tailored to a variety of factors. Job Summary: Part of the CHVAC Strategy & Transformation organization, the CHVAC Data & Analytics team’s mission is to harness data to solve business challenges, implement AI-driven solutions, and build scalable data products to drive revenue growth, improve productivity, and add customer value.