Position Summary

Essential Duties and Responsibilities

• Build and maintain data pipelines in Databricks that bring in data from business systems such as QuickBooks, Salesforce, and HR, recruiting, and payroll platforms.
• Design and maintain the data models and SQL views behind reporting, analytics, and the internal portal.
• Build and improve features in the internal web portal, from database queries and server logic to the screens people use, with training and support on the application side.
• Keep data accurate where it matters most: hours, pay, worker qualifications, and matching the same person across multiple systems.
• Investigate and resolve data and application issues reported by users, including time-sensitive problems around payroll deadlines.
• Make database and schema changes carefully, with testing and peer review before they reach production.
• Use AI coding assistants as part of daily development, and review, test, and verify their output before it ships.
• Work directly with recruiting, payroll, operations, and quality teams to understand their needs and turn them into working tools.
• Document data sources, pipelines, and application features so others can support them.
• Follow company security practices for handling sensitive employee and payroll data.

Minimum Qualifications

• Bachelor's degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
• 2+ years of professional experience in data engineering, analytics engineering, or software development.
• Strong SQL skills, including complex joins, window functions, and query performance tuning.
• Working proficiency in Python.
• Experience designing relational data models and working with a relational database such as PostgreSQL.
• Experience with at least one cloud data platform, such as Databricks, Snowflake, BigQuery, or Redshift.
• Experience with Git and code review workflows.
• Interest in learning front-end and back-end application development.
• Strong written and verbal communication skills, including explaining technical issues to non-technical users.
• Ability to work on-site in Rock Hill, SC on a hybrid schedule.

Preferred Qualifications

• Hands-on experience with Databricks, including Delta Lake, Unity Catalog, and Databricks SQL.
• Experience with PySpark or other distributed data processing.
• Experience with TypeScript or JavaScript, React, or other web application development.
• Experience with Microsoft Azure.
• Experience integrating business systems through APIs, such as QuickBooks, Salesforce, or HR and payroll platforms.
• Experience using AI coding assistants, such as Claude Code or GitHub Copilot, in day-to-day development.
• Experience working with people, time, or pay data, such as HR, payroll, or workforce systems.
• Background in energy, utilities, construction, manufacturing, or staffing.

Physical Requirements

• Ability to work at a computer for extended periods.
• Ability to communicate effectively in person, by phone, and over video.

Work Environment

• Hybrid schedule, with regular in-office days at our Rock Hill, SC office and remote work the rest of the week.
• Professional office environment.
• Occasional work outside normal business hours may be needed to resolve time-sensitive issues, such as payroll deadlines.

Equal Employment Opportunity