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.
Responsibilities:
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, PostgreSQL, and MongoDB 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
Requirements:
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, PostgreSQL, 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.
