Senior Data EngineerNew
The opportunity
Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects.
What you'll do
Build and maintain batch, streaming, and event-driven ingestion pipelines: that reliably connect enterprise source systems to the lakehouse.
Develop transformation logic and orchestrated workflows that turn raw source: data into usable, governed datasets.
Design and optimize data assets that support analytics, operational: reporting, downstream applications, and AI-ready consumption.
Instrument pipelines and data products with validation checks, monitoring,: and alerting so data and pipeline issues are detected and resolved quickly.
Tune pipeline, storage, and compute workloads for performance, scalability, and cost efficiency.
Establish engineering standards and reference architectures that allow a lean team to scale responsibly.
What they're looking for
- Lead technical design reviews and mentor engineers through pairing, code review, and technical guidance.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a: related technical field, or equivalent hands-on experience.
- + years of production experience in data engineering, data platform: engineering, analytics engineering, software engineering, or a related discipline.
- Proven experience building and operating large-scale cloud data platforms: such as Databricks, Snowflake, Microsoft Fabric, or BigQuery.
