Associate Data Engineer at Dow: Overview

Are you a data enthusiast eager to shape the future through innovation? Dow is seeking a passionate and skilled Associate Data Engineer to join our Enterprise Data & Analytics - Data Analytics Platform team. This role offers an exciting opportunity to work on cutting-edge projects, contributing to Dow's digital transformation. As an Associate Data Engineer, you will be instrumental in building and deploying data pipelines, ensuring the seamless flow of information across our enterprise data platforms.

A Day in the Life of an Associate Data Engineer

Each day as an Associate Data Engineer at Dow brings new challenges and opportunities for growth. Here’s what a typical day might look like:

• Morning: Start your day by reviewing project requirements and collaborating with team members on data pipeline design. You'll work on optimizing existing data flows and ensuring data quality.
• Mid-Day: Dive into coding, using Azure data services to build and deploy data pipelines. You'll write notebooks in Databricks, develop Infrastructure as Code (IaC), and build logic apps to automate data processes.
• Afternoon: Participate in team meetings to discuss project progress, troubleshoot issues, and brainstorm innovative solutions. You’ll also spend time researching emerging technologies and identifying opportunities to enhance Dow's digital capabilities.
• Late Afternoon: Focus on documentation and knowledge sharing. You'll update project documentation, create training materials, and mentor junior team members.

Why Midland, MI & Houston, TX?

This Associate Data Engineer position is available in two vibrant locations: Midland, Michigan, and Houston, Texas. Each city offers unique advantages:

• Midland, MI: As Dow's global headquarters, Midland provides a rich history and a strong sense of community. Enjoy a lower cost of living, excellent schools, and abundant outdoor recreational activities.
• Houston, TX: A dynamic metropolis, Houston offers a diverse cultural scene, a thriving job market, and a warm climate. Benefit from access to world-class restaurants, entertainment, and a vibrant tech community.

Career Path and Growth Opportunities

At Dow, we invest in our employees' growth and development. As an Associate Data Engineer, you'll have access to comprehensive training programs, mentorship opportunities, and career advancement pathways. Potential career progression includes roles such as Data Engineer, Senior Data Engineer, Data Architect, and Data Science Manager. Dow's commitment to innovation and sustainability provides a platform for you to make a meaningful impact on the world.

Salary and Benefits

Dow offers a competitive salary and benefits package that rewards your contributions and supports your well-being. The estimated salary range for the Associate Data Engineer position is $85,000 - $125,000 annually, depending on experience and location. Our benefits package includes:

• Comprehensive health insurance (medical, dental, and vision)
• Paid time off and holidays
• Retirement savings plan with company match
• Employee assistance program
• Professional development opportunities
• Tuition reimbursement
• Life insurance and disability coverage
• Wellness programs

Dow Culture: Innovation, Collaboration, and Sustainability

Dow's culture is built on integrity, respect, and safety. We are committed to putting people first and creating a sustainable future through science and collaboration. Our employees are at the heart of our solutions, and we embrace diversity as our strength. We foster a community of relentless problem solvers, where you can contribute your perspective, transform industries, and shape the future.

How to Apply

Ready to join Dow as an Associate Data Engineer? Follow these steps to apply:

1. Visit the Dow Careers website.
2. Search for the Associate Data Engineer position in Midland, MI or Houston, TX.
3. Review the job description and qualifications carefully.
4. Submit your application online, including your resume and cover letter.
5. Highlight your relevant skills and experience, emphasizing your passion for data engineering and your alignment with Dow's values.

Frequently Asked Questions (FAQ)

1. What qualifications are required for the Associate Data Engineer position?

   Ideal candidates possess a bachelor's or master's degree in computer science, data science, or a related field, along with experience in data engineering, Azure data services, and programming languages like Python or SQL.

2. What is the work environment like at Dow?

   Dow offers a collaborative and innovative work environment, where employees are encouraged to share ideas and contribute to meaningful projects.

3. What opportunities are available for professional development?

   Dow provides numerous professional development opportunities, including training programs, mentorship, and tuition reimbursement.

4. Does Dow support remote work?

   Specific remote work policies may vary depending on the role and team. Please inquire during the interview process.

5. What is Dow's commitment to diversity and inclusion?

   Dow is committed to creating a diverse and inclusive workplace where all employees feel valued and respected.

6. What are the key technologies used in this role?

   Key technologies include Azure Data Services, Databricks, Infrastructure as Code (IaC), Azure DevOps, Python, and SQL.

7. What kind of projects will I be working on?

   You will be working on projects related to data ingestion, storage, and consumption across Dow's enterprise data platforms, contributing to the company's digital transformation.

8. Is there room for innovation in this role?

   Yes, you will be encouraged to identify opportunities for innovating with digital capabilities to accelerate Dow's digital transformation.

9. What is the typical team structure?

   You will be working with a cross-functional team, collaborating with data scientists, analysts, and other engineers to deliver data solutions.

10. What is the interview process like?

    The interview process typically involves a phone screening, followed by one or more virtual or in-person interviews with the hiring manager and team members.