# Senior AWS Data Engineer & Lead AWS Data Engineer (Individual contributor)

**Company:** [Enable Data Incorporated](null/companies/kv32m8kPLEQKxhvJiTifAm.md)
**Location:** Remote
**Workplace:** remote

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## Description

We are seeking a **Senior Data Engineer** to design, develop, and deploy enterprise data pipelines and data products using **AWS, Databricks, and Medallion Architecture**. The ideal candidate will have deep technical expertise in Databricks and AWS and be comfortable working hands-on across the full data engineering lifecycle.

**Required Qualifications**

-   **Strong hands-on Data Engineering experience**.
-   Expert-level experience with **Databricks**.
-   Strong hands-on experience with **Databricks Unity Catalog**.
-   Strong experience designing **Medallion Architecture (Bronze/Silver/Gold)** data pipelines.
-   Advanced **Python/PySpark and SQL** skills.
-   Strong experience with **AWS**, particularly **S3 and AWS Glue**.
-   Hands-on experience with **Databricks Asset Bundles (DABs)**.
-   Strong Git experience with **GitHub Enterprise and GitHub Actions**.
-   Experience implementing CI/CD for data engineering and Databricks workloads.
-   Strong understanding of data engineering best practices, data modeling, and pipeline optimization.
-   Experience working in **Agile/Scrum** development environments.

**Ideal Candidate**

The ideal candidate is a **senior-level, hands-on Databricks Data Engineer**. They should be comfortable writing code, building pipelines, troubleshooting production issues, implementing CI/CD, and working directly in Databricks and AWS on a daily basis