Lead Data Engineer

ReUp Education•Austin, TX

8d•Hybrid

About The Position

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.

Requirements

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 Haves

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.

Responsibilities

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.

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