We are at a pivotal stage in building and scaling our data domain, and we are looking for a Data Engineer to join our growing BI team. This role goes beyond building pipelines. You will help shape our data platform as a shared product - supporting analytics, reporting, and decision-making across key company data domains such as Product, Sales, HR, and others. Your work will directly influence how stakeholders interact with data today and how the platform evolves in the years ahead.
What Youll Be Doing
Architect & Own: Lead the design and development of scalable data warehouse and BI solutions. You will make early-stage architectural decisions and own their long-term impact.
Infrastructure as a Product: Build core data infrastructure and developer experiences that others rely on, ensuring high availability and system reliability.
End-to-End ELT/ETL: Solve complex integration problems by sourcing data from structured and unstructured sources using Rivery, Python, and optimal ETL patterns.
Data Quality & Governance: Implement frameworks for schema evolution, anomaly detection, and data freshness. You will determine security models based on privacy requirements and evolve governance processes.
Strategic Collaboration: Partner with Engineers, Product Managers, and Data Analysts to conceptualize data needs and represent key insights in a meaningful way.
Optimization: Assist in owning production processes, optimizing complex code through advanced algorithmic concepts to manage operational cost-benefit tradeoffs.
Requirements: Experience: 5+ years of experience in Data Engineering, Infrastructure, or Platform Engineering (ideally in organizations operating at a meaningful scale).
Technical Mastery: 5+ years of hands-on experience with Python and SQL. Deep proficiency in data modeling (Star/Snowflake schema) and DWH methodologies.
Cloud & Tools: Proven experience with Snowflake and AWS. Familiarity with Rivery or similar orchestration tools (like DBT) is a major advantage.
Production-First Mindset: Track record of leading data initiatives end-to-end from design and building to shipping and operating production flows.
Analytical Rigor: Ability to triage issues, resolve data quality problems, and design systems that handle system complexity with ease.
Education: Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field.
This position is open to all candidates.