> Markdown version of [/jobs/ext/2273727-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/2273727-senior-data-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).

---

# Senior Data Engineer

- **Company:** Mitsubishi Chemical
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $110,200.0 - $144,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Systems, Data Infrastructure, Extract Transform Load (ETL), Data Mart, Data Systems, Data Warehousing, DevOps, Distributed Computing Environment, Python (Programming Language), Machine Learning, SQL Databases, System Availability, Apache Spark, Semi-structured Data, Information Technology, Apache Kafka, Data Pipelines, Databricks
- **Published:** August 27, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3367060146&tx=JT10496UHI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

We're seeking an experienced Data Engineer who combines deep technical expertise with strong communication and collaboration skills., * Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required

 * 5+ years of hands-on experience with SQL and Python.
 * 5+ years of experience working with cloud platforms (Azure, AWS, or GCP).
 * At least 5 years of hands-on experience specifically in Databricks development and architecture , including designing, building, optimizing, and supporting production-grade lakehouse solutions.
 * Strong experience designing and building enterprise-scale data pipelines and ETL/ELT solutions.
 * Solid understanding of data modeling, governance, and security principles.
 * Excellent communication skills with the ability to collaborate across technical and business teams., * Current Databricks certification is a highly important qualification. Strong preference will be given to candidates holding the Databricks Certified Data Engineer Professional certification; the Databricks Certified Data Engineer Associate certification is also strongly valued.
 * Experience with Spark, Kafka, or other distributed processing frameworks.
 * Experience with DevOps and CI/CD practices.
 * Experience supporting machine learning and AI data initiatives.

## Description

As a Senior Data Engineer, you'll serve as one of the technical leaders on our Data Platform team, helping design, implement, and optimize enterprise-scale data solutions that enable business intelligence, advanced analytics, and AI initiatives.

In this role, you will:

 * Lead the implementation and continued enhancement of our global Databricks data platform.

Define and evolve the Databricks platform architecture, including lakehouse design, data integration patterns, governance, security, performance, reliability, and cost optimization.

 * Design, build, and optimize scalable ETL/ELT pipelines for structured and semi-structured data.
 * Develop modern data models, data warehouses, and data marts to support enterprise analytics.
 * Collaborate closely with data scientists, analysts, business partners, and IT teams to translate business requirements into scalable technical solutions.
 * Improve data quality, governance, security, and platform reliability.
 * Optimize data workflows for performance, scalability, and cost efficiency.
 * Provide technical mentorship to junior and mid-level data engineers while helping establish engineering best practices.


## 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)
- [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)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)