Company:
Indeed
Position:
Data Engineer
Location:
Remote
Length:
12-month Contract
Job Description:
Must-Have Skills: Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments. Strong SQL and Python. Experience with orchestration tools such as dbt, Airflow, or Dagster. AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora. Experience with Snowflake. Strong data modeling and large-scale data processing experience. Experience with CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations. Demonstrated ability to optimize data pipelines for performance and cost. Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines.
Nice-to-Have Skills: FinOps Foundation Certification (Practitioner or Engineer). Experience with cloud cost optimization, tagging strategies, or cost monitoring. Experience with AWS and GCP. Experience with Datadog. Background in data platform or shared infrastructure engineering. Scala is a plus.
Design, build, and maintain the Cloud Economics team's data pipelines and automation systems. Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights. Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data. Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders. Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization). Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights. Ensure data quality, validation, and auditability across end-to-end data workflows.
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