REMOTEFULLTIME
Data Engineer
Baxter Planning
Remote · remote · Posted 2d ago
Sourced from
Undisclosed4–9 yrsfulltimeRemote
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Section · 01
About this role
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.
What you ll do
- 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
What we re looking for
- 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)
What we offer
- 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)
What we offer
- A competitive salary ( [phone removed])
- Work in a friendly and diverse team
- private health insurance
- gym membership
- learning opportunities
- flexible benefits
- team events
- free office snacks and drinks
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
data qualityAws GlueCdcAutomationTerraformData EngineerGeneticsAws Servicesamazon web servicesaws cloudformationapache airfloweltlakehouseAnalyticsdata modelsConcurrencyAWS CloudWatchData LakeArchitecturecomplianceETLData ModelingData Pipeline