Data Engineer Chicago, IL

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire
11 is more than a modern business and technology consulting firm;we'rea revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creationisn'tsomething we talk about —it'ssomething we live, every day.

At Inspire
11,we'renot just offering a job;we'reproviding a platform for you to transform the future.

You'llfeel right at home here if you think differently, build boldly, and lead with impact.

We'rea place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed.

• Growth Through Challenge : We hold ourselves to the highest standards of excellence and accountability. At Inspire
  11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively.
• The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA.
  
  Our clients rely on us to lead them into what's next.
• Diverse Perspectives Driv ing Innovative Solutions : We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire
  11 an amazing place. Our teams get energy from being the best they can be.

What you can expect in this role: As a Data Engineer, you’lldesign and buildthe data foundations that power analytics and AI. You will work hands‑on with modern cloud platforms and play a key role in transforming raw data into trusted, analysis‑ready assets that drive client value.

• Design and build scalable data pipelines using SQL and Python to ingest, transform, and prepare data for analytics and AI use cases.
• Develop cloud‑native data solutions using Snowflake, Redshift, Synapse, Big Query, or Databricks.
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source‑to‑target mapping and logical models.
• Support data consumption needs by creating BI‑ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.

Tools for success: We’re looking for engineers who can bridge technical expertise with a consultative mindset and a drive for innovation. Successful candidates will bring:

• 2+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands‑on experience building or maintaining data pipelines.
• Familiarity with modern cloud data stacks, such as…