Lead, manage, and develop a team of data engineers, fostering a culture of technical excellence, independence, collaboration, and accountability.
Create and execute a Data Engineering roadmap that helps ReUp to achieve its goals.
Partner with technology, analytics, finance, B2B, and B2C teams to define data requirements, and design and develop solutions that drive value for ReUp’s clients and learners.
Oversee the design, development, testing, implementation, maintenance, and continuous improvement of data pipelines and warehouses that ingest, transform, store, and provide access to student and institutional data to power business intelligence products, ML models, cloud-based web applications, and marketing and coaching services.
Champion automation, observability, and performance to ensure ReUp’s pipeline efficiently and reliably delivers quality data to end users.
Proactively identify, triage, and resolve data quality and availability issues through root-cause analysis, remediation, monitoring, and cross-functional collaboration.
Define and monitor SLAs for data quality, workflow status and runtime, incident response and resolution time, and team velocity.
Define and implement data engineering standards and best practices.
Support data security, compliance, and governance initiatives.

Requirements

6+ years of data engineering experience.
3+ years of experience managing a high-performing data engineering team.
Experience developing and maintaining large-scale data pipelines and warehouses in a production environment.
Strong fluency 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, and data integration tools such as Stitch or CData.
Experience working with version control tools such as GitHub.
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: 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata pipelinesdata warehousesSQLPythonAWSRedshiftSnowflakeAirflowGitHub

Soft Skills

communicationcollaborationproblem solvingleadershiptechnical excellenceindependenceaccountability

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data ScienceBachelor’s degree in Mathematics