IRU
Manager, Data Engineering
Miami · Director · Full-time
Sponsorship not specified$40k-$60kDetected 196 days ago
PythonSQLSnowflakeRESTKafkaMachine LearningAirflowdbtData EngineeringData ScienceLeadershipCommunication
About the role
- Our work is foundational to the company's AI and machine learning initiatives.
- Our stack includes Kafka, Airflow, Snowflake, dbt, Python, SQL, AWS.
- Deep understanding of data modeling and pipeline architecture patterns
Responsibilities
- you'll manage and grow the team while staying hands-on with technical work yourself.
- You should expect to spend ~40-60% of your time designing, building, and reviewing pipelines, models, and infrastructure alongside the team.
- You'll report to the Director of Data and partner directly with stakeholders across the business to ensure our data platform keeps pace with the company's growth.
- the foundation has been built, and now we need leadership to drive the next chapter-modernizing our architecture, raising the bar on data quality, and scaling how we partner with the rest of the org.
- This is a player-coach role: you'll manage and grow the team while staying hands-on with technical work yourself.
- We ingest, transform, and deliver centralized data from every product in our portfolio-making it possible for Data Science, Analytics, Finance, Revenue, and our product engineering teams to move fast and trust what they see.
- The quality, freshness, and structure of the data we deliver directly determines what's possible for the models and systems built on top of it.
- We're at an inflection point: the foundation has been built, and now we need leadership to drive the next chapter-modernizing our architecture, raising the bar on data quality, and scaling how we partner with the rest of the org.
Requirements
- 5+ years of experience in data engineering, with at least 2 years in a leadership or management role
- Strong hands-on experience with modern data tools
- Experience designing and operating reliable data pipelines at scale
- Ability to switch between strategic planning, people leadership, and hands-on technical contribution
- Ability to think through problems from the ground up
- We'd love to hear from you if you have:
- Nice to haves, but NOT required:
Skills
- Clear communication skills-you can translate between technical teams and business stakeholders
Compensation
- Benefits & Perks Competitive salary Hybrid work environment (3 days in office per week) 100% individual and dependent medical + dental + vision coverage 401(K) with a 4% company match 20 days PTO Iru Wellness Week the first week in July Equ
Company info
- The Data Engineering team owns the infrastructure and pipelines that power data-driven decisions across the company.
- If you want to create leverage for AI at scale, this is where it starts.
- How You'll Make a Difference Day to Day:
Equal opportunity
- equal opportunity employer committed to diversity and inclusion in the workplace.
This listing is sourced directly from IRU's careers page and normalized into a canonical job model.