Edtech.com's Summary

ReUp Education is hiring a Lead Data Engineer to design, build, and maintain scalable data pipelines and warehouses that support their products and services. The role combines technical delivery and leadership, requiring hands-on data engineering along with mentoring other engineers and leading complex initiatives to ensure quality data accessibility.

Highlights

Lead company-wide data projects from requirements gathering through implementation.
Shape the long-term technical roadmap of the data platform and provide senior technical guidance.
Mentor engineers through skill development, design reviews, and code quality assurance.
Develop high-performance data pipelines handling large datasets for educational institutions.
Design and optimize data models for business intelligence, machine learning, and web applications.
Implement data validation, testing, and monitoring to maintain data quality.
Improve automation, reliability, and cost efficiency of data workflows and platforms.
Proficient in SQL, Python, AWS, Redshift or Snowflake, and orchestration tools like Airflow.
6+ years of data engineering experience with demonstrated leadership and cross-functional collaboration.
Bachelor’s degree in Computer Science or a related technical field; strong communication and problem-solving skills.

Lead Data Engineer Full Description

Lead Data Engineer
Technology

Austin, TX

What we do

Founded in 2015, ReUp Education is the only organization that focuses exclusively on helping colleges and universities engage and re-enroll the more than 40 million US residents who have “stopped out” and support them until graduation, through our patented technology-enabled service. To date, we have re-enrolled over 57,000 students for our university partners. As of July 2025, ReUp Education partners with 140 active schools and a total of 1.78 million learners. To date, ReUp Education has helped 7,960 learners graduate. Today we build regional marketplaces to connect the supply of educational opportunities with the demand for skilled and credentialed workforce professionals.

About the role

ReUp Education is looking for a Lead Data Engineer to help us empower more adult learners and educational institutions by designing, building and maintaining scalable data pipelines and warehouses to support our products and services.
This is both a technical delivery and leadership role, with roughly a 70% focus on hands-on engineering, and 30% focus on driving engineering excellence and mentoring other engineers (not people management). As a senior member of the team, you’ll lead complex initiatives and collaborate cross-functionally to ensure quality data is accessible across the organization.
This is an opportunity to shape the evolution of a modern data ecosystem in a mission-driven organization.

What you'll do

Lead complex, company-wide projects from start to finish, collecting business requirements, translating them into a scalable solution, and guiding other engineers to build it.
Shape the long-term technical roadmap for ReUp’s data platform, and serve as a senior technical resource across projects.
Provide technical mentorship to other engineers through skill development, design guidance, and code reviews.
Develop and maintain scalable, high-performance data pipelines to ingest and process large volumes of student and institutional data.
Design and optimize data models in data warehouses to power business intelligence products, ML models, cloud-based web applications, and marketing and coaching services.
Implement validation, testing, and monitoring frameworks to ensure data quality.
Proactively improve the performance, reliability, automation and cost efficiency of data workflows and platforms.
Proactively monitor and troubleshoot production data systems to ensure reliability and uptime.
Define and implement data engineering standards and best practices to improve data quality, governance, and performance.
Create and maintain clear documentation for data pipelines, models, and processes.

Qualifications

6+ years of data engineering experience.
Proven ability to lead projects and work cross-functionally.
Demonstrated technical leadership and mentoring experience.
Strong proficiency in SQL and Python.
Experience working with cloud data platforms such as AWS, and data warehouses such as Redshift or Snowflake.
Experience working with orchestration tools such as Airflow.
Solid understanding of relational and non-relational database design.
Experience with Git and CI/CD best practices.
Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical discipline.
Strong communication, collaboration, and problem solving skills.
- Nice to have:
  - Cloud data certifications.
  - Experience working with ELT tools such as dbt.
  - Experience syncing data to and from Salesforce, Iterable, and/or cloud-based web applications.
  - Experience developing a curated data layer for data visualization tools such as Tableau.
  - Experience developing, deploying, and maintaining AI/ML models in production.
  - Experience with Agile engineering practices.
  - Experience working in higher education, education technology, and/or a startup.

Benefits

Medical, dental, and vision insurance for employees
- We pay 100% of the employee's premium and 50% of any dependents' premiums
- Contribute up to $1000 to employee HSA/$2000 to employee + dependent HSA
- PPO Buy-up plan available
- FSA available
Company paid short-term disability, long-term disability, and life insurance for employee
Flexible time off and remote work opportunity
Up to 80 hours of dedicated sick time annually to support your well-being and work-life balance
15 paid holidays per year (including Juneteenth and the last week of the calendar year)
Company wellness days (2 per year)
Day of Service (Paid day for volunteering)
401(k) plan
Paid parental leave (12 weeks primary parental leave, 6 weeks secondary parental leave)
A diverse team that fosters a high level of collaboration despite being highly distributed

Location

Hybrid: This hybrid role can combine the best of both worlds: in-person collaboration in our Austin, TX office for 2-3 days per week, and the flexibility of remote work.

Company Culture

REDEFINE THE POSSIBLE * INNOVATE WITH PURPOSE * RESILIENT BY DESIGN * ACHIEVE BEYOND EXPECTATIONS * THRIVE TOGETHER

At ReUp, our values guide everything we do. We redefine the possible by bringing energy, boldness, and vision to every challenge, breaking barriers and delivering outcomes that redefine success. We innovate with purpose, developing impactful solutions that inspire our partners, learners, and teams—always rooted in balance, authentic collaboration, and integrity. We are resilient by design, empowering learners, teams, and organizations to adapt, grow, and lead with strength in a changing world. We achieve beyond expectations by harnessing the power of data and evidence-based strategies to deliver measurable, outsized results that create lasting impact for all stakeholders. And we thrive together, believing that through collective action, opportunities are not finite and limited but expandable, creating an ecosystem of growth and collaboration.

ReUp Education is an equal-opportunity employer. Our company values diversity and believes diverse teams make innovation possible. We encourage all qualified applicants from any race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, or other characteristics to apply.

We are unable to offer visa sponsorship or work authorization transfers for this position. Applicants must have the legal right to work in the United States without the need for employer sponsorship

The pay range for this role is:

160,000 - 170,000 USD per year (Austin, TX)

Original Job Description

Lead Data Engineer
Technology

Austin, TX

What we do

Founded in 2015, ReUp Education is the only organization that focuses exclusively on helping colleges and universities engage and re-enroll the more than 40 million US residents who have “stopped out” and support them until graduation, through our patented technology-enabled service. To date, we have re-enrolled over 57,000 students for our university partners. As of July 2025, ReUp Education partners with 140 active schools and a total of 1.78 million learners. To date, ReUp Education has helped 7,960 learners graduate. Today we build regional marketplaces to connect the supply of educational opportunities with the demand for skilled and credentialed workforce professionals.

About the role

ReUp Education is looking for a Lead Data Engineer to help us empower more adult learners and educational institutions by designing, building and maintaining scalable data pipelines and warehouses to support our products and services.
This is both a technical delivery and leadership role, with roughly a 70% focus on hands-on engineering, and 30% focus on driving engineering excellence and mentoring other engineers (not people management). As a senior member of the team, you’ll lead complex initiatives and collaborate cross-functionally to ensure quality data is accessible across the organization.
This is an opportunity to shape the evolution of a modern data ecosystem in a mission-driven organization.

What you'll do

Lead complex, company-wide projects from start to finish, collecting business requirements, translating them into a scalable solution, and guiding other engineers to build it.
Shape the long-term technical roadmap for ReUp’s data platform, and serve as a senior technical resource across projects.
Provide technical mentorship to other engineers through skill development, design guidance, and code reviews.
Develop and maintain scalable, high-performance data pipelines to ingest and process large volumes of student and institutional data.
Design and optimize data models in data warehouses to power business intelligence products, ML models, cloud-based web applications, and marketing and coaching services.
Implement validation, testing, and monitoring frameworks to ensure data quality.
Proactively improve the performance, reliability, automation and cost efficiency of data workflows and platforms.
Proactively monitor and troubleshoot production data systems to ensure reliability and uptime.
Define and implement data engineering standards and best practices to improve data quality, governance, and performance.
Create and maintain clear documentation for data pipelines, models, and processes.

Qualifications

6+ years of data engineering experience.
Proven ability to lead projects and work cross-functionally.
Demonstrated technical leadership and mentoring experience.
Strong proficiency in SQL and Python.
Experience working with cloud data platforms such as AWS, and data warehouses such as Redshift or Snowflake.
Experience working with orchestration tools such as Airflow.
Solid understanding of relational and non-relational database design.
Experience with Git and CI/CD best practices.
Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical discipline.
Strong communication, collaboration, and problem solving skills.
- Nice to have:
  - Cloud data certifications.
  - Experience working with ELT tools such as dbt.
  - Experience syncing data to and from Salesforce, Iterable, and/or cloud-based web applications.
  - Experience developing a curated data layer for data visualization tools such as Tableau.
  - Experience developing, deploying, and maintaining AI/ML models in production.
  - Experience with Agile engineering practices.
  - Experience working in higher education, education technology, and/or a startup.

Benefits

Medical, dental, and vision insurance for employees
- We pay 100% of the employee's premium and 50% of any dependents' premiums
- Contribute up to $1000 to employee HSA/$2000 to employee + dependent HSA
- PPO Buy-up plan available
- FSA available
Company paid short-term disability, long-term disability, and life insurance for employee
Flexible time off and remote work opportunity
Up to 80 hours of dedicated sick time annually to support your well-being and work-life balance
15 paid holidays per year (including Juneteenth and the last week of the calendar year)
Company wellness days (2 per year)
Day of Service (Paid day for volunteering)
401(k) plan
Paid parental leave (12 weeks primary parental leave, 6 weeks secondary parental leave)
A diverse team that fosters a high level of collaboration despite being highly distributed

Location

Hybrid: This hybrid role can combine the best of both worlds: in-person collaboration in our Austin, TX office for 2-3 days per week, and the flexibility of remote work.

Company Culture

REDEFINE THE POSSIBLE * INNOVATE WITH PURPOSE * RESILIENT BY DESIGN * ACHIEVE BEYOND EXPECTATIONS * THRIVE TOGETHER

The pay range for this role is:

160,000 - 170,000 USD per year (Austin, TX)

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