Data Engineer II - Everspring : Job Details

About Everspring

Everspring is a leading provider of education technology and service solutions. Our advanced technology, proven marketing approach, research-based instructional design services, and robust faculty support deliver outstanding outcomes for our university partners, powering their success online.

The Opportunity

As a Data Engineer , you will play a key role in designing, building, and maintaining Everspring's modern data platform. You'll own complex data pipelines and integrations that support strategic decision-making and business operations. As a mid-level engineer, you'll collaborate closely with product, analytics, and engineering teams to improve data quality, performance, and accessibility. You'll also contribute to architectural decisions, mentor junior engineers, and help raise the bar for data engineering across the organization.

This position is ideal for someone who has already built robust pipelines, thrives on solving data challenges at scale, and wants to deepen their impact in a growing, mission-driven company.

This role reports to Executive Director, Technical Strategy and Operations and is located in Chicago, offering a hybrid work environment with a minimum of 3 days required in the office every week and additional days as business needs arise.

What You'll Do

• Design and implement scalable, maintainable ETL/ELT pipelines for a variety of use cases (analytics, operations, product enablement)
• Build and optimize integrations with cloud services, databases, APIs, and third-party platforms
• Own production data workflows end-to-end, including testing, deployment, monitoring, and troubleshooting
• Collaborate with cross-functional stakeholders to understand business needs and translate them into technical data solutions
• Lead technical discussions and participate in architecture reviews to shape our evolving data platform
• Write clean, well-documented, production-grade code in Python and SQL
• Improve data model design and data warehouse performance (e.g., partitioning, indexing, denormalization strategies)
• Champion best practices around testing, observability, CI/CD, and data governance
• Mentor junior team members and contribute to peer code reviews

What You Bring

Requirements:

• 3+ years of experience in a data engineering or software engineering role, with a strong track record of delivering robust data solutions
• Proficiency in Python and advanced SQL for complex data transformations and performance tuning
• Experience building and maintaining production pipelines using tools like Airflow, dbt, or similar workflow/orchestration tools
• Strong understanding of cloud-based data infrastructure (e.g., AWS, GCP, or Azure)
• Knowledge of data modeling techniques and data warehouse design (e.g., star/snowflake schemas)
• Experience working with structured and semi-structured data from APIs, SaaS tools, and databases
• Familiarity with version control (Git), CI/CD, and Agile development methodologies
• Strong communication and collaboration skills

Preferred:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field
• Experience with modern data warehouses like Redshift, BigQuery, or Snowflake
• Exposure to modern DevOps/dataops practices (e.g., Terraform, Docker, dbt Cloud)
• Experience integrating with Salesforce or other CRM/marketing platforms
• Knowledge of data privacy and compliance considerations (e.g., FERPA, GDPR)

Why Join Everspring?

• Meaningful mission: Help transform higher education through better digital access and data insights
• Growth-focused: Opportunities to deepen your skills, lead projects, and take on increasing responsibility
• Collaborative culture: Work cross-functionally in a team that values communication, curiosity, and initiative
• Flexible hybrid work and a supportive environment that values work-life balance

About Everspring

Everspring is a leading provider of education technology and service solutions. Our advanced technology, proven marketing approach, research-based instructional design services, and robust faculty support deliver outstanding outcomes for our university partners, powering their success online. Everspring offers a range of full-service turnkey solutions, as well as standalone single service offerings, and innovative self-service products that enable universities to establish and maintain themselves as leaders in the digital delivery of education.

Based in Chicago, Everspring serves a growing number of colleges and universities. Built In Chicago has named us one of the Best Places to Work in 2021, 2022, 2023 and 2025. We were also certified as a Great Place To Work in 2022, 2023, 2024 and 2025.

Compensation offered at Everspring will be determined by factors such as location, level, job-related knowledge, skills, and experience.

Position Location: Illinois

The base salary hiring range for this position is: $90,000 to $125,000.

This role is eligible for incentive compensation or equity. We offer benefits that include hybrid work arrangement, paid parental leave, medical, dental and vision insurance, FSA, HSA, employer-paid short-term and optional long-term disability, 401k with an employer match vested immediately, a generous PTO plan that accrues with tenure, professional development, tuition reimbursement program, discounted onsite gym, optional pet insurance and more!

EEO Note:

Everspring is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Everspring makes hiring decisions based solely on qualifications, merit, and business needs at the time.