Data Engineer

ABOUT SOVRA

SOVRA is a leading public procurement platform trusted by more than 7,000 government agencies and over 1 million suppliers across North America. Our work sits at the intersection of technology, public service, and accountability, helping governments operate more efficiently and transparently on behalf of the communities they serve.

What makes SOVRA unique is our deep focus on the public sector. Our solutions are purpose-built to solve real, complex procurement challenges, balancing compliance with usability and innovation. That commitment has been recognized with the Achievement of Excellence in Procurement (AEP) Certification from the National Procurement Institute, reflecting our high standards and impact in the market.

At SOVRA, the work you do matters. Every improvement we make helps public organizations stretch taxpayer dollars further, operate with greater transparency, and deliver better outcomes for millions of people. We’re a growing, mission-driven company where smart, curious people come together to build technology that serves the public good.

Learn more at sovra.com

THE ENVIRONMENT

SOVRA runs a lakehouse platform (Bronze / Silver / Gold layers on Apache Iceberg), with AWS DMS and Zero-ETL for ingestion, dbt for transformation, and AWS-native services (S3, Glue, Athena, Bedrock) for storage, compute, and AI enablement. The Data Engineering Specialist works inside this stack, embedded in the Data Platform team.

What we're looking for. A hands-on data engineer fluent in SQL, Python, dbt, and modern lakehouse patterns on AWS, comfortable owning pipelines end-to-end — from source-system CDC through governed Gold models and used to working in a governed, multi-consumer environment where data is treated as a product, not a report.

Daily rhythm. A short standup with the Data Platform team to review pipeline health, ingestion status, and delivery blockers. Working sessions with data analysts on Gold-layer model validation, and pairing with fellow data engineers on shared transformation logic.

Core engineering work (majority of the week). Building and maintaining ingestion pipelines from source systems (product databases, and eventually SaaS platforms) into the Bronze layer; developing Silver-layer cleansing and conforming logic; and modeling Gold-layer datasets in dbt for consumption by internal teams and external customers.

Consumer enablement. Partnering with internal product, GTM, and AI stakeholders to translate use cases into Gold-layer data products, and supporting external customer needs (direct data access, embedded BI, curated exports) through the platform's productized surfaces.