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# Senior Databricks Developer / Engineer

- **Company:** NimbusAITech LLC
- **Location:** Delaware, OH, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Identity and Access Management, Python (Programming Language), Meta-Data Management, Performance Tuning, SQL Databases, Data Streaming, Workflow Management Systems, Google Cloud, Cloud Platform System, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Bitbucket, Data Pipelines, Jenkins, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/abf27115-9a04-43a1-ada7-d4b333f8bf9a

## About the Role

Required skill

Minimum experience

Overall IT Experience

8 years

Databricks

5 years

Apache Spark / PySpark

5 years

Cloud Platform (AWS / Azure / Google Cloud Platform)

5 years

ETL / ELT Development

6 years

Data Pipeline Development

6 years

Python Programming

5 years

SQL

6 years

Delta Lake / Delta Tables

4 years

Data Modeling

5 years

Additional preferred skills

Preferred skill

Suggested experience

AWS S3 / Glue / Lambda

3+ years

Unity Catalog

2+ years

CI/CD and Git

3+ years

Apache Airflow / Workflow Orchestration

2+ years

Production Support / Performance Tuning

3+ years

Banking / Financial Services

2+ years, Candidates must provide their current location, total IT experience, individual years of experience across required technologies, W2 availability, and confirmation of the five-day onsite requirement.

## Description

We are seeking an experienced Senior Databricks Developer / Data Engineer for an enterprise financial-services technology environment., The ideal candidate will have strong hands-on experience developing and supporting enterprise-scale data engineering solutions using Databricks, Apache Spark, PySpark, Python, SQL, cloud platforms, and modern data architecture., * Design, develop, test, and maintain enterprise Databricks data pipelines.

 * Develop scalable ETL/ELT solutions using Python, PySpark, SQL, and Delta Lake.
 * Integrate data from multiple enterprise sources.
 * Optimize Spark jobs, SQL queries, and Databricks workloads.
 * Implement data quality, validation, and reconciliation controls.
 * Support data governance, security, access controls, and lineage.
 * Support production monitoring, troubleshooting, and root-cause analysis.
 * Collaborate with architecture, analytics, business, and technology teams.

Additional Preferred Skills

 * AWS S3, Glue, Lambda, and IAM.
 * Unity Catalog and metadata management.
 * Batch and streaming data processing.
 * Apache Airflow or equivalent workflow orchestration.
 * CI/CD, Git, Jenkins, or Bitbucket.
 * Production monitoring and performance tuning.
 * Financial services, banking, payments, risk, or compliance experience.