Senior Data Engineer

Mitsubishi Chemical America, Inc.; United States; Remote; USD 110,000 - 145,000; Full time

Job summary

Mitsubishi Chemical America, Inc. is seeking a Senior Data Engineer to lead and evolve our global Databricks data platform. You will shape architecture, governance, and cost optimization while mentoring a growing team of engineers across functions.

You will design scalable ETL/ELT pipelines, develop enterprise data models, and partner with data scientists, analysts, and IT to deliver impactful analytics solutions. This role sits at the core of our data-driven enterprise strategy.

Qualifications

• Bachelor's degree in CS, Engineering, Information Systems, or related field.
• 5+ years hands-on experience with SQL and Python.
• 5+ years cloud platforms experience (Azure, AWS, or GCP).
• At least 5 years Databricks development/architecture experience.
• Strong experience designing enterprise-scale data pipelines and ETL/ELT solutions.

Responsibilities

• Lead implementation and enhancement of the global Databricks data platform.
• Define and evolve Databricks platform architecture including lakehouse design, data integration, governance, security, performance, 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 for enterprise analytics.
• Collaborate with data scientists, analysts, business partners, and IT to translate requirements into scalable solutions.
• Improve data quality, governance, security, and platform reliability.
• Mentor junior and mid-level data engineers and promote engineering best practices.

Skills

SQL

Python

Databricks

ETL/ELT pipelines

Data modeling

Governance & security

Platform architecture

Communication

Mentoring engineers

Education

Bachelor's degree in Computer Science / Engineering / Information Systems

Tools

Spark

Kafka

CI/CD

DevOps

Job description

Mitsubishi Chemical America, Inc. Job Description: Senior Data Engineer

Are you passionate about building modern, scalable data platforms that power enterprise analytics? We're looking for a Senior Data Engineer to play a key role in the global implementation and ongoing evolution of our Databricks data platform. This is an exciting opportunity to shape the foundation of our enterprise data strategy while mentoring a growing team of engineers and partnering with stakeholders around the world.

What You'll Do

• 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.

What We're Looking For

• Required Qualifications
• 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.
• Preferred Qualifications
• 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.

Why Join Us?

This is more than a traditional data engineering role - it's an opportunity to help build the next generation of our global data platform.

• Lead enterprise-wide Databricks initiatives.
• Work alongside a collaborative team while mentoring developing engineers.
• Influence technical direction and engineering best practices.
• Partner with business leaders across Finance, Sales, Supply Chain, Manufacturing, and Corporate functions.
• Help drive digital transformation across a global organization.

The salary range for this position is $110,200-$144,700. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.

This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.