Data Engineer & BI Expert – Data Scientist (Data Pipeline & Reporting)

About The Role We are hiring a Data Scientist with strong data engineering and business intelligence skills to build robust data pipelines and reporting systems. This role focuses on automating reporting workflows, creating dashboards, and ensuring data quality for enterprise analytics. Key Responsibilities Design and maintain ETL pipelines to support reporting and analytics. Develop and automate dashboards using BI tools (Power BI, Tableau, Looker). Ensure data quality, consistency, and reliability across reporting systems. Collaborate with business teams to understand reporting needs and deliver actionable insights. Optimize data workflows for scalability and performance. Implement CI/CD principles and manage code repositories using GitHub Enterprise. Required Qualifications Strong experience with SQL, Python, and data pipeline tools (Databricks Jobs). Proficiency in BI platforms, dashboard development. Understanding of data gateways, report connection concepts and cloud platforms (Azure). Familiarity with CI/CD principles and GitHub Enterprise. Self-starter with an ownership mindset and ability to work independently. Preferred Qualifications 2+ years experience in retail or enterprise reporting environments. Exposure to Databricks and PySpark for data processing. Familiarity with Agile development environments. Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $30 - $62 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.