Azure Data Engineer

Cspring; Indianapolis, Northern (IN, KY); Hybrid; USD 95,000 - 140,000; Full time

Job summary

CSpring is seeking a skilled Data Engineer to design, build, and optimize cloud data solutions on the Microsoft Azure stack for government and healthcare client engagements.

You will develop pipelines, transform data using SQL/Python/PySpark, and design scalable data models. The role emphasizes collaboration, quality, and delivering insights that inform critical decisions. This on-site opportunity in Indianapolis offers meaningful work and growth.

Qualifications

• 3+ years of hands-on data engineering experience
• 2+ years building on Microsoft Azure stack
• Strong SQL with complex joins, window functions, and performance tuning
• Experience using Azure Data Factory for pipeline design, triggers, and error handling
• Experience with Azure Synapse Analytics, Databricks, or Azure SQL
• Proficiency in Python or PySpark for data transformation
• Experience with data modeling and warehouse design (dimensional modeling)
• Familiarity with Azure Data Lake Storage Gen2 and data organization
• Version control and deployment discipline using Git and Azure DevOps
• Clear communication with non-technical stakeholders; Bachelor's degree or equivalent hands-on experience

Responsibilities

• Design, build, and support cloud data solutions on the Microsoft Azure stack for client engagements
• Build and orchestrate data pipelines in Azure Data Factory
• Develop transformation logic in SQL, Python, or PySpark and optimize for growing data volumes
• Design and maintain data models (dimensional/relational/lakehouse) for analysts and reports
• Work with Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to meet client scale and budget
• Implement data quality checks, validation rules, and reconciliation processes
• Set up monitoring, alerts, and error handling; manage CI/CD with Git and Azure DevOps
• Collaborate with client analysts and leads to translate business questions into data requirements
• Document architecture, data lineage, and runbooks for post-handoff support
• Adhere to client security, privacy, and compliance requirements

Skills

SQL

Python / PySpark

Data modeling

Data warehousing concepts

Stakeholder communication

Education

Bachelor's degree or equivalent hands-on experience

Tools

Azure Data Factory

Azure Synapse Analytics

Databricks

Azure SQL

Azure Data Lake Storage Gen2

Git

Azure DevOps

Job description

Description

At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.

We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.

Why You’ll Love Working Here

• Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
• People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
• Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.
• Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You’ll Do

You'll design, build, and support cloud data solutions on the Microsoft Azure stack for client engagements across government and healthcare.

• Build and orchestrate data pipelines in Azure Data Factory, moving data from source systems into curated, analytics-ready layers.
• Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes grow.
• Design and maintain data models — dimensional, relational, or lakehouse — that make sense to the analysts and reporting teams who depend on them.
• Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and compute patterns that fit the client's scale and budget.
• Implement data quality checks, validation rules, and reconciliation so problems surface before a stakeholder finds them.
• Build monitoring, alerting, and error handling into pipelines from the start, and respond when something breaks in production.Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across development, test, and production environments.
• Partner with client analysts, program staff, and technical leads to translate business questions into data requirements you can build against.
• Document architecture, data lineage, and operational runbooks so the work is supportable after you hand it off.
• Follow client security, privacy, and compliance requirements in how you access, move, and store sensitive data.

Requirements

• 3+ years of hands-on data engineering experience, including 2+ years building on Azure.
• Strong SQL — complex joins, window functions, stored procedures, and query performance tuning.
• Practical experience with Azure Data Factory, including pipeline design, triggers, parameterization, and error handling.
• Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL.
• Python or PySpark for data transformation and automation.
• Experience with data modeling and warehouse design concepts, including dimensional modeling.
• Familiarity with Azure Data Lake Storage Gen2 and how to organize raw, curated, and consumption layers.
• Version control and deployment discipline using Git and Azure DevOps.
• Clear communication with non-technical stakeholders — you can explain what you built and why it matters.
• Bachelor's degree or equivalent hands-on experience.

Preferred Qualifications

• Prior consulting or client-facing delivery experience.
• Power BI or supporting downstream reporting and analytics teams.
• Microsoft Azure certification (DP-203 or equivalent).
• Experience with data governance tooling such as Microsoft Purview.

Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—