AWS Data Engineer
Guidehouse
Amazon RedshiftAWSCloudDockerETLJavaJenkinsTerraform
Senior Data Engineer
Procurement Sciences AI
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $200,000 per year
Job Level
Senior
Tech Stack
AirflowAmazon RedshiftBigQueryKafkaPythonSQL
About the role
- Build, deploy, and maintain production data ingestion on top of our data platform.
- Design and implement feature engineering and source of truth tables for finance and product usage metrics.
- Lay the foundation for a future analytics team to empower the business to make data driven decisions and fast experimental iteration.
- Collaborate with ML and engineering teams to support the needs to train large scale models for in production use.
Requirements
- 5+ years building production data pipelines with real user data at scale
- Deep SQL and Python expertise - you think in sets and write maintainable tested code
- Experience with modern data stack BigQuery (or Snowflake/Redshift), dbt or similar transformation tools, orchestrators like Airflow or Dagster
- Track record of architectural thinking making design decisions that lasted and can articulate the tradeoffs
- Experience with event-driven architectures (Kafka, Pub/Sub, SQS) and streaming vs. batch tradeoffs
- U.S. citizenship with the ability to pass a Federal Background Check and Identity Verification.
- While formal education is not a strict requirement, a Bachelor's or Master’s degree in Computer Science, Engineering, or a related field is preferred.
Benefits
- Competitive salary with stock options in a rapidly growing, venture-backed company.
- Comprehensive health plan, ensuring you and your loved ones are well taken care of.
- Flexible work arrangements, including full remote work capabilities, to balance your professional and personal life.
- Extensive professional development opportunities, providing a fast track for career advancement.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondata pipelinesfeature engineeringdata ingestionevent-driven architecturesstreamingbatch processingarchitectural thinkingdesign decisions
Soft skills
collaborationcommunicationproblem-solvingdecision-makinganalytical thinking
