Data Engineer

Inspire11•Chicago, IL

5d•Onsite

About The Position

As a Data Engineer, you’ll design and build the 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.

Requirements

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 Databricks, AWS, Azure, GCP, 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.

Responsibilities

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, BigQuery, 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.

Benefits

Medical insurance plans
Dental insurance plans
Vision insurance plans
Short-term disability
Long-term disability
Life insurance
Connectivity stipend
Employee Assistance Program
401(k) plan
Flexible savings accounts
Limited-purpose flexible savings accounts
Healthcare savings accounts
Dependent care savings accounts
Commuter benefit accounts
Statutory leave required by federal, Illinois, or other applicable law (FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave)
Self-managed paid time off policy (PTO)
Paid parental leave
Eight paid holidays
Charitable giving matching program
Professional development benefits