Data Engineer

Role overview Build the data systems that support analytics, reporting, machine learning, and automated business workflows for client organizations. This remote contract engineering role covers the data lifecycle: connecting varied sources, creating dependable pipelines and storage layers, and making trusted data available to people and downstream systems.

Responsibilities - Build ETL and ELT pipelines that bring together data from SaaS products, databases, APIs, and files. - Add validation, quality checks, and error handling, and improve pipeline performance, reliability, and cost efficiency. - Design and maintain data warehouses or lakes using platforms such as Snowflake, BigQuery, Redshift, or Databricks. - Model data for analytics and reporting, and connect infrastructure to BI tools such as Power BI, Tableau, or Looker. - Configure monitoring, alerting, and documentation for data systems. - Support AI and automation use cases through data foundations, integrations, and APIs for timely access.

Requirements - Experience designing, building, and maintaining data pipelines and storage systems. - Ability to integrate data from varied application, database, API, and file sources. - Understanding of data quality, modeling, performance, and operational reliability. - Familiarity with cloud data platforms and analytics or BI use cases. - Ability to work with clients to understand their data landscape and translate needs into maintainable solutions.

Nice to have - Experience connecting pipelines to automation tools such as Make, n8n, or Zapier.