Resume and JobRESUME AND JOB
Dow logo

High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!

Dow

High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!

full-timePosted: Feb 13, 2026

Job Description

Data Engineer at Dow: Delivering a Sustainable Future

At Dow, we are driven by a clear purpose: to deliver a sustainable future for the world through science and collaboration. Our Data Engineers are at the forefront of this mission, transforming raw data into valuable insights that power our innovation and decision-making. As a Data Engineer at Dow, you will play a crucial role in building and maintaining the data infrastructure that supports our advanced analytics, machine learning, and reporting initiatives.

A Day in the Life of a Data Engineer at Dow

Your day as a Data Engineer will be dynamic and challenging, requiring a blend of technical expertise, problem-solving skills, and collaboration. Here’s a glimpse of what you can expect:

  • Morning: Start your day by reviewing data pipelines and monitoring systems for any anomalies or performance issues. Investigate and resolve any data quality issues or pipeline failures. Attend a team stand-up meeting to discuss ongoing projects, roadblocks, and priorities for the day.
  • Mid-Day: Work on designing and implementing new data pipelines to ingest and transform data from various source systems into the Azure Databricks Lakehouse Platform. Write and optimize PySpark code to perform complex data transformations and aggregations. Collaborate with data scientists and business analysts to understand their data requirements and translate them into technical solutions.
  • Afternoon: Participate in code reviews to ensure code quality and adherence to best practices. Contribute to the design and improvement of CI/CD pipelines for automated deployment of data solutions. Research and evaluate new data technologies and tools to improve the efficiency and scalability of our data infrastructure.
  • Evening: Monitor the performance of data pipelines and identify opportunities for optimization. Document data models, data flows, and technical specifications. Stay up-to-date with the latest trends in data engineering and cloud computing.

Why Midland, MI or Houston, TX?

Dow offers Data Engineer positions in both Midland, MI and Houston, TX, each providing unique advantages:

  • Midland, MI: As Dow's global headquarters, Midland offers a strong sense of community and a rich history with the company. You'll be at the heart of Dow's operations, with access to a wide range of resources and opportunities. The cost of living in Midland is also relatively affordable, making it a great place to raise a family.
  • Houston, TX: Houston is a vibrant and diverse city with a thriving tech industry. Dow's presence in Houston provides access to a large talent pool and a dynamic business environment. The city offers a wide range of cultural attractions, entertainment options, and outdoor activities.

Both locations offer excellent opportunities for professional growth and a high quality of life. Dow provides relocation assistance to help you make a smooth transition to your new location.

Your Career Path at Dow

Dow is committed to providing its employees with opportunities for growth and development. As a Data Engineer, you can advance your career through various paths:

  • Technical Leadership: Become a Senior Data Engineer, leading complex projects and mentoring junior engineers. You can also specialize in a particular area of data engineering, such as data architecture, data security, or data governance.
  • Management: Transition into a management role, leading a team of Data Engineers and overseeing the development and maintenance of data infrastructure.
  • Cross-Functional Roles: Leverage your data engineering skills in other areas of the company, such as data science, business intelligence, or product development.

Dow provides a comprehensive training and development program to help you acquire the skills and knowledge you need to advance your career.

Competitive Salary and Benefits

Dow offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary range for a Data Engineer at Dow is typically between $95,000 and $140,000 per year, depending on experience and location. Benefits include:

  • Comprehensive health insurance
  • Dental and vision plans
  • Paid time off and holidays
  • Retirement savings plans (401k with company match)
  • Employee stock purchase plan
  • Life insurance
  • Disability insurance
  • Tuition reimbursement
  • Professional development opportunities
  • Employee assistance program
  • Wellness programs
  • Flexible work arrangements (depending on role and location)
  • Parental leave
  • Adoption assistance
  • Employee discount programs
  • Relocation assistance (if applicable)

The Dow Culture: Innovation and Collaboration

Dow's culture is built on a foundation of integrity, respect, and safety. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to contribute their best work. We encourage collaboration, innovation, and continuous learning. At Dow, you will have the opportunity to work with talented and passionate colleagues from around the world.

Ready to Join Dow? Here's How to Apply

If you are a talented and driven Data Engineer looking for a challenging and rewarding career, we encourage you to apply for this position. To apply, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant skills and experience, and explain why you are a good fit for Dow.

Frequently Asked Questions

  1. What are the key skills for a Data Engineer at Dow? Key skills include PySpark, Spark, Azure Data Factory, Databricks Workflows, data modeling, data warehousing, and SQL.
  2. What is the typical career path for a Data Engineer at Dow? You can advance into technical leadership roles (Senior Data Engineer, Data Architect), management positions, or cross-functional roles.
  3. What kind of training and development opportunities does Dow offer? Dow provides a comprehensive training and development program, including technical training, leadership development, and mentorship opportunities.
  4. What is the work environment like at Dow? Dow fosters a collaborative, innovative, and inclusive work environment.
  5. What is the company's commitment to sustainability? Dow is deeply committed to sustainability and is working to deliver a sustainable future for the world through science and collaboration.
  6. What are the benefits of working in Midland, MI? Midland offers a strong sense of community, an affordable cost of living, and proximity to Dow's global headquarters.
  7. What are the benefits of working in Houston, TX? Houston is a vibrant and diverse city with a thriving tech industry and a wide range of cultural attractions.
  8. Does Dow offer relocation assistance? Yes, Dow offers relocation assistance to eligible employees.
  9. What is Dow's approach to diversity and inclusion? Dow is committed to creating a diverse and inclusive workplace where all employees feel valued and respected.
  10. How does Dow support work-life balance? Dow offers flexible work arrangements and a variety of programs to support employee well-being.

Locations

  • Midland, Michigan, United States
  • Houston, Texas, United States

Salary

Estimated Salary Rangemedium confidence

104,500 - 154,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • PySparkintermediate
  • Sparkintermediate
  • Azure Data Factory (ADF)intermediate
  • Databricks Workflowsintermediate
  • Azure DevOpsintermediate
  • Gitintermediate
  • SQL Serverintermediate
  • Neo4jintermediate
  • CosmosDBintermediate
  • Delta Live Tablesintermediate
  • Great Expectationsintermediate
  • Data Modelingintermediate
  • Dimensional Modelingintermediate
  • Star Schemaintermediate
  • Snowflake Schemaintermediate
  • CI/CD Pipelinesintermediate
  • Data Integrationintermediate
  • Data Quality Frameworksintermediate
  • Machine Learning Pipelinesintermediate
  • Real-Time Data Consumptionintermediate
  • Generative AI Systemsintermediate
  • Agentic AI Systemsintermediate
  • Enterprise Reportingintermediate
  • Business Intelligence (BI)intermediate
  • Data-driven Applicationsintermediate
  • Cloud Computingintermediate
  • Data Transformationintermediate
  • Performance Optimizationintermediate
  • Technical Designintermediate
  • Data Architectureintermediate

Required Qualifications

  • 2-5 years demonstrated experience in core technical expertise (experience)
  • Proven ability to write highly optimized, production-grade PySpark/Spark code (experience)
  • Experience identifying and resolving performance bottlenecks in a distributed computing environment (experience)
  • Practical experience designing and implementing analytical data models (e.g., dimensional modeling, star/snowflake schemas) (experience)
  • Experience handling Slowly Changing Dimensions (SCDs) (experience)
  • Expertise in using Azure Data Factory (ADF), Databricks Workflows, or equivalent orchestration tools (experience)
  • Experience with CI/CD pipelines in Azure DevOps/Git (experience)
  • Proficiency in managing data persistence and query performance across diverse technologies like SQL Server, Neo4j, and CosmosDB (experience)
  • Experience implementing and maintaining advanced data quality frameworks (e.g., Delta Live Tables, Great Expectations) (experience)
  • Strong understanding of data governance principles (experience)
  • Ability to translate complex business requirements into clear technical designs (experience)
  • Experience mentoring junior engineers (experience)
  • Strong collaboration and communication skills (experience)

Responsibilities

  • Collaborate with senior data engineers to translate complex business requirements into technical designs and data models
  • Independently drive the implementation of these designs
  • Design, build, and deploy high-volume data transformation logic using highly optimized PySpark
  • Apply advanced techniques to tune Spark jobs and diagnose performance bottlenecks
  • Contribute to the design and improvement of CI/CD pipelines in Azure DevOps/Git
  • Ensure reliable, automated, and secure deployment of data solutions across environments
  • Deeply understand and connect to various source systems
  • Demonstrate proficiency in managing data persistence and query performance across diverse technologies like SQL Server, Neo4j, and CosmosDB
  • Proactively implement and maintain advanced data quality frameworks (e.g., Delta Live Tables, Great Expectations)
  • Implement and maintain monitoring solutions to ensure data reliability for mission-critical applications
  • Serve as a go-to technical resource for peers
  • Conduct technical code reviews
  • Informally mentor Associate Data Engineers on PySpark and Databricks best practices

Benefits

  • general: Comprehensive health insurance
  • general: Dental and vision plans
  • general: Paid time off and holidays
  • general: Retirement savings plans (401k with company match)
  • general: Employee stock purchase plan
  • general: Life insurance
  • general: Disability insurance
  • general: Tuition reimbursement
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Flexible work arrangements (depending on role and location)
  • general: Parental leave
  • general: Adoption assistance
  • general: Employee discount programs
  • general: Relocation assistance (if applicable)

Target Your Resume for "High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!" , Dow

Get personalized recommendations to optimize your resume specifically for High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!" , Dow

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringCloudAzureDatabricksPySparkData EngineerDowMidland MIHouston TXSparkAzure Data FactoryData ModelingData WarehousingSQLCloud ComputingData PipelinesETLData IntegrationData QualityBig DataData ArchitectureCI/CDAzure DevOpsGitMachine LearningData ScienceBusiness IntelligenceSustainabilityCareerJobHiringRelocation AssistanceMaterials ScienceChemicalsEngineeringManufacturing

Answer 10 quick questions to check your fit for High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now! @ Dow.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Dow logo

High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!

Dow

High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!

full-timePosted: Feb 13, 2026

Job Description

Data Engineer at Dow: Delivering a Sustainable Future

At Dow, we are driven by a clear purpose: to deliver a sustainable future for the world through science and collaboration. Our Data Engineers are at the forefront of this mission, transforming raw data into valuable insights that power our innovation and decision-making. As a Data Engineer at Dow, you will play a crucial role in building and maintaining the data infrastructure that supports our advanced analytics, machine learning, and reporting initiatives.

A Day in the Life of a Data Engineer at Dow

Your day as a Data Engineer will be dynamic and challenging, requiring a blend of technical expertise, problem-solving skills, and collaboration. Here’s a glimpse of what you can expect:

  • Morning: Start your day by reviewing data pipelines and monitoring systems for any anomalies or performance issues. Investigate and resolve any data quality issues or pipeline failures. Attend a team stand-up meeting to discuss ongoing projects, roadblocks, and priorities for the day.
  • Mid-Day: Work on designing and implementing new data pipelines to ingest and transform data from various source systems into the Azure Databricks Lakehouse Platform. Write and optimize PySpark code to perform complex data transformations and aggregations. Collaborate with data scientists and business analysts to understand their data requirements and translate them into technical solutions.
  • Afternoon: Participate in code reviews to ensure code quality and adherence to best practices. Contribute to the design and improvement of CI/CD pipelines for automated deployment of data solutions. Research and evaluate new data technologies and tools to improve the efficiency and scalability of our data infrastructure.
  • Evening: Monitor the performance of data pipelines and identify opportunities for optimization. Document data models, data flows, and technical specifications. Stay up-to-date with the latest trends in data engineering and cloud computing.

Why Midland, MI or Houston, TX?

Dow offers Data Engineer positions in both Midland, MI and Houston, TX, each providing unique advantages:

  • Midland, MI: As Dow's global headquarters, Midland offers a strong sense of community and a rich history with the company. You'll be at the heart of Dow's operations, with access to a wide range of resources and opportunities. The cost of living in Midland is also relatively affordable, making it a great place to raise a family.
  • Houston, TX: Houston is a vibrant and diverse city with a thriving tech industry. Dow's presence in Houston provides access to a large talent pool and a dynamic business environment. The city offers a wide range of cultural attractions, entertainment options, and outdoor activities.

Both locations offer excellent opportunities for professional growth and a high quality of life. Dow provides relocation assistance to help you make a smooth transition to your new location.

Your Career Path at Dow

Dow is committed to providing its employees with opportunities for growth and development. As a Data Engineer, you can advance your career through various paths:

  • Technical Leadership: Become a Senior Data Engineer, leading complex projects and mentoring junior engineers. You can also specialize in a particular area of data engineering, such as data architecture, data security, or data governance.
  • Management: Transition into a management role, leading a team of Data Engineers and overseeing the development and maintenance of data infrastructure.
  • Cross-Functional Roles: Leverage your data engineering skills in other areas of the company, such as data science, business intelligence, or product development.

Dow provides a comprehensive training and development program to help you acquire the skills and knowledge you need to advance your career.

Competitive Salary and Benefits

Dow offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary range for a Data Engineer at Dow is typically between $95,000 and $140,000 per year, depending on experience and location. Benefits include:

  • Comprehensive health insurance
  • Dental and vision plans
  • Paid time off and holidays
  • Retirement savings plans (401k with company match)
  • Employee stock purchase plan
  • Life insurance
  • Disability insurance
  • Tuition reimbursement
  • Professional development opportunities
  • Employee assistance program
  • Wellness programs
  • Flexible work arrangements (depending on role and location)
  • Parental leave
  • Adoption assistance
  • Employee discount programs
  • Relocation assistance (if applicable)

The Dow Culture: Innovation and Collaboration

Dow's culture is built on a foundation of integrity, respect, and safety. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to contribute their best work. We encourage collaboration, innovation, and continuous learning. At Dow, you will have the opportunity to work with talented and passionate colleagues from around the world.

Ready to Join Dow? Here's How to Apply

If you are a talented and driven Data Engineer looking for a challenging and rewarding career, we encourage you to apply for this position. To apply, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant skills and experience, and explain why you are a good fit for Dow.

Frequently Asked Questions

  1. What are the key skills for a Data Engineer at Dow? Key skills include PySpark, Spark, Azure Data Factory, Databricks Workflows, data modeling, data warehousing, and SQL.
  2. What is the typical career path for a Data Engineer at Dow? You can advance into technical leadership roles (Senior Data Engineer, Data Architect), management positions, or cross-functional roles.
  3. What kind of training and development opportunities does Dow offer? Dow provides a comprehensive training and development program, including technical training, leadership development, and mentorship opportunities.
  4. What is the work environment like at Dow? Dow fosters a collaborative, innovative, and inclusive work environment.
  5. What is the company's commitment to sustainability? Dow is deeply committed to sustainability and is working to deliver a sustainable future for the world through science and collaboration.
  6. What are the benefits of working in Midland, MI? Midland offers a strong sense of community, an affordable cost of living, and proximity to Dow's global headquarters.
  7. What are the benefits of working in Houston, TX? Houston is a vibrant and diverse city with a thriving tech industry and a wide range of cultural attractions.
  8. Does Dow offer relocation assistance? Yes, Dow offers relocation assistance to eligible employees.
  9. What is Dow's approach to diversity and inclusion? Dow is committed to creating a diverse and inclusive workplace where all employees feel valued and respected.
  10. How does Dow support work-life balance? Dow offers flexible work arrangements and a variety of programs to support employee well-being.

Locations

  • Midland, Michigan, United States
  • Houston, Texas, United States

Salary

Estimated Salary Rangemedium confidence

104,500 - 154,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • PySparkintermediate
  • Sparkintermediate
  • Azure Data Factory (ADF)intermediate
  • Databricks Workflowsintermediate
  • Azure DevOpsintermediate
  • Gitintermediate
  • SQL Serverintermediate
  • Neo4jintermediate
  • CosmosDBintermediate
  • Delta Live Tablesintermediate
  • Great Expectationsintermediate
  • Data Modelingintermediate
  • Dimensional Modelingintermediate
  • Star Schemaintermediate
  • Snowflake Schemaintermediate
  • CI/CD Pipelinesintermediate
  • Data Integrationintermediate
  • Data Quality Frameworksintermediate
  • Machine Learning Pipelinesintermediate
  • Real-Time Data Consumptionintermediate
  • Generative AI Systemsintermediate
  • Agentic AI Systemsintermediate
  • Enterprise Reportingintermediate
  • Business Intelligence (BI)intermediate
  • Data-driven Applicationsintermediate
  • Cloud Computingintermediate
  • Data Transformationintermediate
  • Performance Optimizationintermediate
  • Technical Designintermediate
  • Data Architectureintermediate

Required Qualifications

  • 2-5 years demonstrated experience in core technical expertise (experience)
  • Proven ability to write highly optimized, production-grade PySpark/Spark code (experience)
  • Experience identifying and resolving performance bottlenecks in a distributed computing environment (experience)
  • Practical experience designing and implementing analytical data models (e.g., dimensional modeling, star/snowflake schemas) (experience)
  • Experience handling Slowly Changing Dimensions (SCDs) (experience)
  • Expertise in using Azure Data Factory (ADF), Databricks Workflows, or equivalent orchestration tools (experience)
  • Experience with CI/CD pipelines in Azure DevOps/Git (experience)
  • Proficiency in managing data persistence and query performance across diverse technologies like SQL Server, Neo4j, and CosmosDB (experience)
  • Experience implementing and maintaining advanced data quality frameworks (e.g., Delta Live Tables, Great Expectations) (experience)
  • Strong understanding of data governance principles (experience)
  • Ability to translate complex business requirements into clear technical designs (experience)
  • Experience mentoring junior engineers (experience)
  • Strong collaboration and communication skills (experience)

Responsibilities

  • Collaborate with senior data engineers to translate complex business requirements into technical designs and data models
  • Independently drive the implementation of these designs
  • Design, build, and deploy high-volume data transformation logic using highly optimized PySpark
  • Apply advanced techniques to tune Spark jobs and diagnose performance bottlenecks
  • Contribute to the design and improvement of CI/CD pipelines in Azure DevOps/Git
  • Ensure reliable, automated, and secure deployment of data solutions across environments
  • Deeply understand and connect to various source systems
  • Demonstrate proficiency in managing data persistence and query performance across diverse technologies like SQL Server, Neo4j, and CosmosDB
  • Proactively implement and maintain advanced data quality frameworks (e.g., Delta Live Tables, Great Expectations)
  • Implement and maintain monitoring solutions to ensure data reliability for mission-critical applications
  • Serve as a go-to technical resource for peers
  • Conduct technical code reviews
  • Informally mentor Associate Data Engineers on PySpark and Databricks best practices

Benefits

  • general: Comprehensive health insurance
  • general: Dental and vision plans
  • general: Paid time off and holidays
  • general: Retirement savings plans (401k with company match)
  • general: Employee stock purchase plan
  • general: Life insurance
  • general: Disability insurance
  • general: Tuition reimbursement
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Flexible work arrangements (depending on role and location)
  • general: Parental leave
  • general: Adoption assistance
  • general: Employee discount programs
  • general: Relocation assistance (if applicable)

Target Your Resume for "High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!" , Dow

Get personalized recommendations to optimize your resume specifically for High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now!" , Dow

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringCloudAzureDatabricksPySparkData EngineerDowMidland MIHouston TXSparkAzure Data FactoryData ModelingData WarehousingSQLCloud ComputingData PipelinesETLData IntegrationData QualityBig DataData ArchitectureCI/CDAzure DevOpsGitMachine LearningData ScienceBusiness IntelligenceSustainabilityCareerJobHiringRelocation AssistanceMaterials ScienceChemicalsEngineeringManufacturing

Answer 10 quick questions to check your fit for High-CTR: Data Engineer Careers at Dow - Midland, Michigan | Apply Now! @ Dow.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.