Data Engineer

Description

We’re seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional looking to build hands‑on experience designing modern data solutions that directly impact business operations and decision making. In this role you will work closely with cross functional teams to help transition and modernize our existing ETL pipelines into scalable ELT processes, develop reporting and dashboard solutions, and support future AI and analytics initiatives.

• Design, develop, and maintain ELT pipelines that move and transform data between business systems and databases
• Assist in transitioning ETL workflows into scalable, efficient ELT processes
• Work with SQL Server, Postgre
  
  SQL, and Mongo
  
  DB databases to support operational and analytical needs
• Develop, maintain, and optimize SQL queries, stored procedures, and database objects
• Create and maintain business reports, dashboards, and visualizations using Power BI, SSRS, and related reporting tools
• Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights
• Monitor and troubleshoot data pipelines, integrations, and reporting workflows to ensure reliability and accuracy
  
  Document data processes, workflows, and technical solutions for internal teams
• Collaborate with software developers and operational teams to support enterprise data initiatives
• Stay current with emerging technologies, tools, and best practices in data engineering and analytics

• Associate’s degree or higher in Computer Science, Data Science, Information Systems, or a related field
• 0-3 years of professional experience in data engineering, business intelligence, analytics, or related technical roles
• Strong foundational knowledge of SQL and relational database concepts
• Experience working with SQL Server, Postgre
  
  SQL, and/or MongoDB
• Familiarity with data integration and workflow tools such as Apache Nifi
• Experience developing reports and dashboards using Power BI, SSRS, or similar business intelligence platforms
• Understanding of ETL/ELT concepts and data transformation workflows
• Basic understanding of data modeling, normalization, and database design principles
• Strong analytical and problem solving skills with attention to detail
• Ability to manage multiple tasks and prioritize effectively in a collaborative environment
• Eagerness to learn new technologies and grow within a data engineering career path

If you meet the above requirements and are excited about the opportunity to work with a talented team on challenging projects, we encourage you to apply. We offer a competitive salary, benefits package, 401(k) match, and opportunities for growth and development within the company. We also provide ongoing training and professional development opportunities to help our team members stay current with emerging technologies and best practices in data engineering.