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Freelance Databricks Data Engineer Jobs in Indiana

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without ...

Lead Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Lead Data Engineer As a Lead Data Engineer, you will be part of the Enterprise IT - Data ... Strong experience with cloud data platforms (Databricks, Azure, GCP). What will give you a ...

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Fabric Data Engineer Indianapolis, IN Hybrid - Onsite 3 days/week Compensation: $60-65 per hour ... Experience with Microsoft Fabric, Azure Synapse, Azure Databricks, or similar cloud data platforms

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Databricks * 5 years of experience developing batch and/or streaming ETL/ELT processes * 5 years of experience with data warehouse or data lake concepts * Proficiency in at least one programming ...

Data Engineer Lead

Evansville, IN · On-site

$98K - $199K/yr

Data Engineer Lead Job Locations US-MN-Lake Elmo | US-IL-Chicago | US-IN-Evansville | US-WI ... Databricks. * Apply business intelligence best practices such as dimensional modeling and ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

As a Lead Platform Data Engineer, you will oversee the data architecture connecting product ... Databricks, or BigQuery). Mastery of SQL is non-negotiable. • Advanced Python and/or Go/Java for ...

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

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Freelance Databricks Data Engineer information

How do freelance Databricks Data Engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What are Freelance Databricks Data Engineers?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a Freelance Databricks Data Engineer, and why are they important?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.
What are the most commonly searched types of Databricks Data Engineer jobs in Indiana? The most popular types of Databricks Data Engineer jobs in Indiana are:
What are popular job titles related to Freelance Databricks Data Engineer jobs in Indiana? For Freelance Databricks Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Freelance Databricks Data Engineer jobs in Indiana look for? The top searched job categories for Freelance Databricks Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Freelance Databricks Data Engineer jobs? Cities in Indiana with the most Freelance Databricks Data Engineer job openings:
Infographic showing various Freelance Databricks Data Engineer job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Cloud Data Engineer

Cloud Data Engineer

CSpring

Indianapolis, IN

$109K - $131K/yr

Full-time

Posted 12 days ago


Job description

At CSpring, we partner with public and private sector organizations to turn complex data into decisions that improve real lives across Indiana and beyond. As a Cloud Data Engineer, you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it easier for everyone who comes after you to build reliable, scalable data solutions — so good engineering becomes the default, not the exception.

Why You'll Love Working Here

  • You'll do work that matters. The pipelines and datasets you build directly support programs that serve real people, not abstract business metrics.
  • You'll grow technically. We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things.
  • You'll join a team that's warm and grounded. People here help each other, share what they know, and take pride in leaving the codebase better than they found it.
  • You'll have real ownership. You won't be a cog filing tickets — you'll own meaningful parts of the platform and see your decisions shape how it evolves.
  • You'll be set up to succeed. We believe in sound patterns and good defaults so that doing the right thing is also the easy thing.

What You'll Do
You will contribute directly to the design and implementation of data pipelines, transformations, and analytics-ready datasets across our Azure platform.

  • Design, implement, and maintain reliable Azure-based data pipelines that support analytics, AI/ML, and enterprise integration use cases.
  • Actively contribute code across the data platform — developing pipelines, writing transformations, optimizing SQL, and supporting production workloads.
  • Own specific areas of the platform — pipelines, datasets, transformations, or integrations — ensuring quality, performance, and maintainability.
  • Apply established patterns, frameworks, and standards to reinforce consistency and quality across the platform.
  • Work closely with data engineers, analysts, product owners, and stakeholders to translate business requirements into effective technical solutions.
  • Stay informed on Azure data services and evolving platform capabilities, applying new tools or approaches when appropriate.
  • Contribute to CI/CD practices, testing, monitoring, and operational readiness for pipelines and the consumers downstream of them.
  • Help reinforce sound engineering patterns through your day-to-day work, so teammates "fall into the pit of success" when building on Azure.

Requirements

  • 4+ years of hands-on experience engineering data pipelines and data platforms.
  • Demonstrated experience building and maintaining cloud-based data solutions in Azure (or comparable cloud environments).
  • Practical, hands-on exposure to data lakes, data marts, and data warehouses; data pipelines and orchestration; and modern ELT/ETL patterns.
  • Strong coding ability using modern data engineering tools and frameworks.
  • Solid SQL skills for data transformation, optimization, and downstream consumption.
  • Clear communication skills and the ability to collaborate effectively within cross-functional teams.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience.
  • Located in or around Indianapolis, IN.

Bonus Experience

  • Azure certifications (e.g., Azure Data Engineer / DP-203) or equivalent cloud credentials.
  • Experience with CI/CD pipelines for data platforms.
  • Familiarity with Agile delivery and iterative development practices.
  • Exposure to streaming, near-real-time data, or observability/monitoring for data systems.
  • A genuine interest in continuous learning and technical growth within data engineering.

If you want to write high-quality code, own real parts of a modern Azure platform, and do it in service of work that matters, we'd love to meet you. Apply today!