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Your Partners in Service Parts Planning.
Data Engineer
Location
Worldwide
Posted
115 days ago
Salary
60K - 70K / year
Seniority
Mid Level
Job Description
Data Engineer
Baxter Planning
Role Description As a Data Engineer at Baxter Planning you will play a key role in building and evolving our data lake platform, supporting analytics and data-driven products across the business. You will design and operate reliable, production-grade data pipelines and curated datasets using modern AWS services and Python. This role focuses on data modeling, data quality, and near-real-time ingestion to ensure trustworthy, BI-ready data. You will work closely with engineers and stakeholders while contributing to architecture, automation, and best practices. - Build the data-serving layer: curated datasets, marts, and product-ready tables - Develop incremental / micro-batch pipelines and support CDC near-real-time ingestion (AWS DMS) - Design BI-friendly data models (star schema) and manage schemas - Build ETL/ELT in Python (Polars) and serve/query via Athena and/or Redshift - Implement data quality + observability (freshness, completeness, duplicates, schema drift, anomalies) - Orchestrate with Airflow and AWS-native tools (e.g., Step Functions) - Contribute to CI/CD, IaC, architecture discussions, and best practices Qualifications - 4+ years building and operating production data pipelines - Strong Python (async/concurrency is a plus) - Strong AWS across services like: S3, Glue, Athena, Redshift, Lake Formation, CloudWatch, DMS, Lambda, Step Functions, SQS/SNS, ECS, DynamoDB (+ CloudFormation) - Experience with lakehouse tables (Delta or similar), schema evolution, partitioning, compaction, upserts/merge - Solid data modeling skills (star schema) and commitment to testing & data quality - Experience running AWS DMS in production (monitoring/troubleshooting) Benefits - A competitive salary - Work in a friendly and diverse team - Private health insurance - Gym membership - Learning opportunities - Flexible benefits - Team events
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