> Markdown version of [/jobs/ext/2189434-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/2189434-databricks-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Databricks Engineer

- **Company:** MERAKI7 INC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Third Normal Form, Airflow, Cloud Database, Cloud Engineering, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), DevOps, Dimensional Modeling, Distributed Computing Environment, Python (Programming Language), Scala (Programming Language), SQL Databases, Data Streaming, Workflow Management Systems, Enterprise Data Management, Cloud Platform System, Data Ingestion, Apache Spark, Build Management, Data Lakes, Pyspark, Deployment Automation, Stream Processing, Data Pipelines, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.dice.com/job-detail/9a76c85c-5cbb-44d0-9b40-96d0fb1163ed

## About the Role

We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.

## Description

* Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
 * Lead implementation of:
 * Cloud-based data lakehouse platforms integrating diverse data sources.
 * Real-time data processing pipelines for operational and analytical use cases.
 * Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
 * Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
 * Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
 * Establish data quality frameworks and governance standards.
 * Implement and manage Unity Catalog, including fine-grained security and access controls.
 * Leverage Databricks components such as:
 * Delta Live Tables
 * Autoloader
 * Structured Streaming
 * Databricks Workflows
 * Integration with orchestration tools (e.g., Apache Airflow)
 * Drive CI/CD automation, deployment strategies, and DevOps best practices.
 * Optimize performance of pipelines, Spark jobs, and compute resources.
 * Provide architectural guidance and technical leadership across cross-functional teams.
 * Engage with stakeholders and clients to translate business requirements into scalable technical solutions.

Deep expertise in:

 * Databricks and cloud-native storage/compute platforms
 * Apache Spark (batch & streaming)
 * Delta Lake & Lakehouse architecture
 * Distributed data processing systems
 * Strong hands-on programming skills in Python, PySpark, Scala, and SQL.


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)

## Related Articles

- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)