Data Engineer Chicago, IL

Elevens, as we call ourselves here, are curiously smart, creative, 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 a modern business and technology consulting firm that focuses on value creation and measurable outcomes for our clients.

Data Engineer

• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI‑first, cloud‑native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data.
• 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—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.
• Bring a forward‑thinking mindset to AI‑powered solutions, including agentic solutions and LLM integrations, helping clients navigate the evolving AI landscape.

• 3+ 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.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non‑technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.

This role requires the willingness and ability to be onsite at the Inspire
11 or client location depending on project needs to maximize in‑person collaboration and build stronger relationships.

Inspire
11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment.

$89,700 – $147,000 USD

• Medical, dental, and vision insurance
• Short‑term and long‑term disability
• Life insurance and employee assistance program
• 401(k) plan with 100% match up to 3% of salary
• Tax‑advantaged savings accounts (flexible spending and health savings accounts)
• Paid time off with no preset maximum, and eligibility for statutory leave (FMLA, sick leave, etc.)
• Paid parental leave (up to 12 weeks for birthing parents, 6 weeks for non‑birthing parents)
• Company holidays

Inspire
11 is an Equal Opportunity Workplace and an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact