Data Engineer
HelioCampus seeks an Analytics Engineer to design and maintain robust data pipelines, model institutional performance data, and deliver actionable insights using SQL, Python, and modern ETL tools like Airflow and dbt. The role focuses on simplifying complex higher‑education data for strategic decision‑making.
Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today’s growing pressures. As one of EdTech’s most steadily growing companies, our roots in higher ed ground us in the critical nature of this work.
What We Do:We help our clients navigate today’s high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses.
How We Do It: We approach our work with a “we’re on it” attitude that the higher ed community has come to know and expect from our team. We’re data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge.
How You'll Help:As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. You’ll partner with cross-functional teams to design scalable data solutions, improve data quality, and deliver impactful analytics to our clients.
What You Will Do:
Design and implement robust, scalable data pipelines to support analytics and reporting needs.
Build, maintain, and optimize ETL/ELT processes across cloud-based data platforms.
Develop and automate reporting solutions and interactive dashboards using modern BI tools.
Ensure data integrity, quality, and governance across multiple data sources.
Apply statistical and analytical techniques to generate actionable business insights.
Collaborate with engineers, analysts, and client stakeholders to translate business needs into technical solutions.
Lead smaller projects or own key components of larger initiatives.
Contribute to continuous improvement efforts, including performance tuning and process automation.
Mentor junior team members and support knowledge sharing across the team.
You Will Be a Good Fit For This Role If You Have:
2–4 years of experience in analytics engineering, data engineering, or a related field.
A bachelor’s or master’s degree in computer science, data analytics, information systems, or a related discipline.
Strong programming skills in languages such as Python, SQL, Scala, or Java.
Experience working with relational and/or NoSQL databases.
Hands-on experience building and optimizing ETL/ELT pipelines.
Familiarity with big data technologies such as Apache Spark or Hadoop.
Experience with BI tools and building dashboards (e.g., Tableau, Power BI, Looker, etc.).
Strong problem-solving skills with the ability to work through moderately complex data challenges.
Excellent communication skills with the ability to translate technical concepts into business insights.
A collaborative mindset and growing ability to lead projects or mentor others.<
Posted June 20, 2026