Data Engineer

Paces is seeking a Data Engineer to join our rapidly growing team. In this role, you will design, implement, and maintain scalable ETL data pipelines from hundreds of data sources, optimizing our storage and retrieval systems for performance and reliability. You will collaborate closely with our CTO, Data Infra Lead, Product Lead, and team to directly impact product roadmap. The role requires solid understanding of data engineering concepts, coding proficiency in relevant languages, and hands-on experience with big data tools and data pipeline orchestration.

Responsibilities:

• Design, implement, and maintain scalable ETL data pipelines from hundreds of data sources
• Optimize our storage and retrieval systems for performance and reliability
• Ensure data quality, consistency, and security across the platform
• Collaborate closely with our CTO, Data Infra Lead, Product Lead, and team to directly impact product roadmap

Requirements:

• Solid understanding of data engineering concepts, data structures, algorithms, and system design
• Strong coding skills with proficiency in Python, Rust, Scala
• Advanced SQL expertise, including experience with complex queries, query optimization, and working with various database systems
• Hands-on experience with big data tools (e.g., Spark) and data pipeline orchestration tools (e.g., Dagster, Airflow, Prefect)
• Proven experience in building robust, scalable, and performant data pipelines on the cloud (AWS / GCP / Azure)

Bonus Points:

• Previous experience at a high-growth, fast-paced startup
• Previous experience working with (geo)spatial datasets and libraries (e.g., GEOS, GDAL)
• Experience with novel data tools and frameworks such as Apache Arrow, DuckDB, DeltaLake, Apache Iceberg