Senior data engineer

Position overview

The Data team is on a mission to transform raw data into actionable insights that drive our business forward. As a Senior Data Engineer, you will be at the heart of this mission, developing and owning end-to-end data pipelines and products that empower teams across the company. You will take on squad-level data projects – from designing robust data ingestion processes to building data models and analytics layers – ensuring that stakeholders have access to reliable, timely data for decision-making. You will collaborate closely with data analysts, product managers, and software engineers to integrate data solutions into our products and workflows. In this role, you’ll also contribute to data governance initiatives and share best practices, while mentoring junior data engineers and fostering a culture of continuous improvement within the team.

Key responsibilities

• Design and implement efficient ETL/ELT pipelines to ingest, transform, and load data from various sources, ensuring high reliability and scalability
• Build and evolve key datasets and analytics layers across company's product areas, making data easily accessible and usable for analysis and decision-making
• Analyze data flows and dependencies to design data models optimized for efficient storage and retrieval
• Optimize and tune data pipelines for performance, scalability, and reliability as data volumes grow
• Integrate with third-party systems and APIs to source or distribute data, expanding our overall data capabilities
• Collaborate with product managers, software engineers, and analysts to understand data requirements and deliver effective data solutions that support product features and business decisions
• Implement data governance best practices to ensure data quality, integrity, and security across all data assets
• Maintain clear documentation for data pipelines, datasets, and data lineage to promote transparency and knowledge sharing
• Stay up-to-date with industry trends in data engineering, and proactively recommend improvements to our data infrastructure and workflows
• Mentor and guide junior data engineers, sharing knowledge and best practices to strengthen the team’s capabilities

Requirements

• B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)
• 5+ years of experience in data engineering or a closely related role
• Proficiency in SQL and Python, with proven experience working with modern data warehouses (e.g. Snowflake, Databricks, BigQuery, etc)
• Hands-on experience building and maintaining ETL/ELT pipelines, including using workflow orchestration tools (such as Airflow or dbt)
• Experience with cloud platforms (GCP, etc.) and their data processing and storage services
• Solid understanding of data warehousing concepts, data modeling techniques, and data architecture best practices (including data quality and governance)
• Proven ability to design solutions for complex data problems and drive data projects from conception to production
• Excellent communication and collaboration skills, with the ability to work effectively across teams and explain data concepts to non-technical stakeholders

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology

Industries

• Software Development