Data Engineer

We're looking for a Data Engineer to support a Public Health project.

As a Data Engineer, you’ll provide specialized Data Engineering support to build, optimize, and maintain cloud‑based data pipelines, platforms, and data stores that enable analytics across large, diverse datasets. This role includes designing scalable ETL/ELT workflows, structuring data storage architectures, and ensuring reliable data ingestion from multiple structured and unstructured sources. You’ll support mission‑driven analytics efforts by transforming raw data into analysis‑ready formats, performing backend SQL/NoSQL testing, and validating data quality throughout the pipeline lifecycle. In this position, you will collaborate with analysts, product teams, and developers to understand evolving data requirements, define technical specifications, and implement end‑to‑end solutions supporting reporting, modeling, and visualization needs.

Key Responsibilities

• Assist in designing, developing, and maintaining scalable ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data from multiple cloud‑based sources.
• Assist in building and optimizing data storage solutions (data warehouses, data lakes, or lakehouses) that support large‑scale analytics, reporting, and business intelligence needs.
• Assist in performing backend SQL and NoSQL testing, including data validation, post‑deployment checks, and troubleshooting of ingestion or schema issues.
• Collaborate cross‑functionally with analysts, engineers, and stakeholders to translate requirements into technical data models, workflows, and pipeline specifications.
• Assist in developing scripts and automation to convert diverse data types into usable formats, while scaling, monitoring, and operating cloud‑based data platforms.

You Have

• 5+ years of experience in Data Warehouse development
• Experience with data analysis of aggregated data from multiple sources in cloud-based environments
• Experience