Data Engineer

About the role

As a Data Engineer at Inspire11, you will 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.

Responsibilities

• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages 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—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.
• Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.

Requirements

• 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.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.

Skills

• Bridge technical expertise with a consultative mindset and a drive for innovation.

Benefits

• Full-time employees are eligible for medical, dental, and vision insurance plans.
• Short-term and long-term disability benefits.
• Life insurance.
• A connectivity stipend.
• An Employee Assistance Program.
• 401(k) plan with Company matching.
• Tax-advantaged savings accounts.
• Paid time off and leave.
• Charitable giving matching program.

Pay

Compensation at Inspire11 is determined based on skill, experience, performance, responsibility, and effort, and may be adjusted based on market conditions and the Company’s financial performance.

Schedule

The role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships.

Application Instructions

Inspire11 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.

Privacy Policy

Inspire11’s Privacy Policy