Sr. Data Engineer
4 days ago
The Role:
Looking for a Senior Data Engineer to join our team who thrives in a deeply hands-on environment, values technical craftsmanship, and loves building clean, scalable systems within the modern data stack.
This role sits on our Data Platform team, where you'll implement and optimize data pipelines, collaborate cross-functionally across Engineering, and support downstream stakeholders with timely, reliable data. You'll report to our Data Manager and work closely with our Data Engineers to deliver robust data solutions and contribute to the next generation of our data platform.
If you're someone who lives in SQL and Python, believes data quality is a product, and ispassionate about shaping the future of data engineering excellence — we'd love to meet you.
You'll love this job if you:
● Embrace our core values: authenticity, curiosity, focus, humility, and happiness.
● Enjoy writing production-grade SQL and Python, and feel at home in orchestration frameworks (we use Prefect).
● Have experience working across the modern data stack (dbt, Snowflake, Fivetran, QuickSight).
● Take pride in data reliability, operational excellence, and building pipelines that are observable, resilient, and easy to support.
● Enjoy diving into third-party APIs and unfamiliar documentation, transforming specs into clear, maintainable ingestion workflows.
● Have an insatiable appetite for learning and desire to always be working on your craft.
● Approach challenges with a customer-first mentality and curiosity.
● Love building in a constantly evolving data landscape.
● Thrive in ambiguity, by leaning on resourcefulness and customer understanding in an open and empathetic culture.
● Are excited to contribute to team growth, through pairing, code reviews, and shared learning.
What You'll Do:
● Partner with our Data Platform engineers to collectively strengthen and challenge one another.
● Lean into sharing your perspective on best practices approaches to data development, architecture design, and data modeling.
● Build as a data engineer leveraging your expertise in data ingestion and integration, data observability, data modeling, and scalable pipeline design.
● Ingest raw data from third-party APIs and transform it into integrated, documented, and governed datasets in our warehouse.
● Partner with our product engineering teams, to anticipate and deliver upcoming data needs supporting our reporting, analysis, and data science functions.
● Deeply understand our data pipelines, and provide a perspective on future optimization or refactoring to allow for continued growth and delivery.
● Stay informed on the data landscape and promising developments in the modern data stack, and introduce tools and processes to scale our development processes.
You Should Have:
● 5+ years of data engineering experience, including at least 2 years in a senior capacity.
● Experience working with modestly-sized fast-paced teams. (Our technology departmenthas ~20 members).
● Significant hands-on experience with the modern data stack and an eye towards resourcefulness for the ever evolving space.
● Strong proficiency with SQL and Python as well as ELT and data modeling.
●Experience focused on system resilience, and care for operational excellence, observability, and reliability across the data platform.
● Strong communication and/or product management skills.
● Working knowledge of technical delivery through an iterative value-focused approach.
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