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# Sr. Data Platform Engineer (US)

- **Company:** Craft
- **Location:** United States
- **Experience:** Expert
- **Salary:** $170,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Cursor, Distributed Computing Environment, Amazon DynamoDB, Elasticsearch, Fault Tolerance, Github, Python (Programming Language), PostgreSQL, Systems Development Life Cycle, Microsoft Copilot, Software Engineering, SQL Databases, Data Streaming, Circleci, Scripting, Pandas, Data Lakes, Pyspark, Terraform, Code Restructuring, Data Pipelines, Docker, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-data-platform-engineer-us--e9e3afb8-88c4-44b4-b74f-277b9d99fd47

## About the Role

Risk, Distribution Channel, Government, Artificial Intelligence (AI), Fortune 500 Customers, Customer Support/Service, Hubs, High Tech Industry, Python Programming/Scripting Language, Software Engineering, * 4+ years of experience in Data Engineering.

 * 4+ years of experience with Python.
 * Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance, and observability of data pipelines in a production environment.
 * Have fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.
 * Strong knowledge of SDLC and solid software engineering practices.
 * Familiar with infrastructure-as-code approach.
 * Demonstrated curiosity through asking questions, digging into new technologies, and always trying to grow.
 * Strong problem solving and the ability to communicate ideas effectively.
 * Self-starter, independent, likes to take initiative.
 * Familiarity with at least some of the technologies in our current tech stack:
 + Python, PySpark, Pandas, SQL (PostgreSQL), ElasticSearch, Airflow, Docker
 + Databricks, AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS, Amazon Neptune)
 + CircleCI, GitHub, Terraform
 * Knowledge surrounding AI-assisted coding and experience with Cursor, Co-Pilot, or Codex
 * A strong track record of leveraging AI IDEs like Cursor to:
 + Rapidly scaffold components and APIs
 + Refactor legacy codebases efficiently
 + Reduce context-switching and accelerate documentation
 + Experiment and prototype with near-instant feedback

## Description

We're growing quickly and looking to hire several senior-level data engineers for multiple teams. Each team is responsible for a key product within the organization. As a core member of the team, you will have great say in how solutions are engineered and delivered. Craft gives engineers a lot of responsibility and authority, which is matched by our investment in their growth and development., Our data engineers carry a lot of software engineering responsibilities, so we're looking for engineers who have strong Python coding experience, Pandas expertise, and solid software engineering practices.