Data Engineer

Summary

Inspire11 is a modern business and technology consulting firm dedicated to creating measurable value for clients. As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into trusted assets that drive client value.

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

Skills

• 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

Qualifications

Must Haves

• 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

Benefits

• Medical insurance plans,
• Dental insurance plans, and
• Vision insurance plans.
• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period;
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67;
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;
• A connectivity stipend of $325 annually;
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.
• 401(k) plan, which allows employees to contribute to a standard or Roth IRA.
• Flexible savings accounts
• Limited-purpose flexible savings accounts
• Healthcare savings accounts
• Dependent care savings accounts
• Commuter benefit accounts
• Paid Time Off and Leave
• Paid parental leave to full-time employees who have been with the company for at least one year.
• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year.
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval.
• Regular gifts of Inspire11 clothes, office items, and swag.