Senior Data Engineer
Posted 8 days ago · 0 applicants
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The role in plain words
- 5+ years of data engineering experience
- Strong proficiency in Python
- Strong proficiency in SQL
- Experience with distributed data systems (e.g. Databricks, Spark)
- Hands-on experience with AWS and/or GCP
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceMilestone is seeking a Senior Data Engineer to design and manage the core data infrastructure that powers our analytics and AI insights. You’ll go beyond traditional pipeline work — designing systems that unify data from diverse environments and enable scalable, high-quality analysis.
What You’ll Do
• Design, build, and maintain robust data pipelines and scalable architectures
• Work across cloud and internal systems to develop seamless data integrations
• Build and optimize data models supporting analytics, reporting, and ML workloads
• Ensure data quality, governance, and performance at scale
• Collaborate with backend and product teams to deliver data-driven features
What We’re Looking For
• 5+ years of data engineering experience
• Strong proficiency in Python, SQL, and distributed data systems (Databricks, Spark, etc.)
• Hands-on experience with AWS and/or GCP
• Ability to architect, optimize, and troubleshoot multi-environment data flows
• Excellent communication and collaboration skills
Why Join Us?
• Contribute to innovative analytics products shaping developer productivity worldwide.
• Work with a collaborative, mission-driven team dedicated to technical excellence.
• Competitive salary, equity, comprehensive benefits, and career growth opportunities.
• Influence core architectural decisions and build infrastructure powering the future of analytics.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 5+ years of data engineering experience, Strong proficiency in Python, Strong proficiency in SQL, Experience with distributed data systems (e.g. Databricks, Spark), Hands-on experience with AWS and/or GCP