Senior Data Engineer - Technology

Role overview

Build and operate data pipelines that bring varied internal and external sources into reliable, usable datasets. You will support data science and customer-facing work by integrating raw data, developing transformations and APIs, and improving the stability and efficiency of a cloud-based data environment.

Responsibilities

- Build, test, and maintain pipelines and ETL processes for survey, clickstream, IP address, media metadata, and other source data. - Track pipeline reliability and performance, and contribute to data integrity and storage efficiency. - Clean, parse, and integrate data from third-party APIs and other sources. - Develop transformations and aggregations in warehouses and relational or non-relational databases, including data prepared for business intelligence tools. - Contribute to ingestion APIs and advise on storage, configuration, access tools, and architecture choices. - Support application developers with database queries and programming practices, and collaborate with external vendors on data engineering work.

Requirements

- At least 3 years of experience building data pipelines or ETL, working with SQL and databases, and using cloud infrastructure such as AWS or GCP. - 3–5 or more years working with dbt and at least 3 years with Snowflake. - Experience with Git, GitHub, or a comparable version control system. - Familiarity with Dagster or another workflow orchestration tool. - End-to-end development experience and an interest in continuing to grow technical expertise.

Nice to have

Experience preparing data for BI platforms and working with diverse first-, second-, or third-party datasets.

Benefits and work setup

Fully remote work with schedule autonomy, paid time off, and compensation in USD. The project is described as running through the end of December.