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Freelance Data Pipeline Engineer Jobs in Indiana

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 ... The pipelines and datasets you build directly support programs that serve real people, not abstract ...

Data Engineer | TMB

Warsaw, IN · On-site

$49 - $71/hr

As a Data Engineer , you will be responsible for: * Building and maintaining processes for ... Designing, developing, and optimizing complex data pipelines to ensure reliable data flow.

Data Engineer

IN · On-site +1

$98K - $118K/yr

Position Summary The Data Engineer is responsible for designing, building, deploying, and ... Build and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure ...

Data Engineer

Indianapolis, IN · On-site

$120 - $180/hr

What You Will DoData Engineering & Pipeline Development * Design, develop, and optimize scalable data pipelines using Databricks, PySpark, Python, SQL, and Delta Lake to ingest, transform, and load ...

New

Data Engineer

Chandler, IN · On-site

$82.66 - $137.76/hr

... pipelines, data quality, metadata, data compliance, etc. * Demonstrable skills (recent) using AI ... data engineering including hands-on experience working with Cloud data solutions: creating ...

New

Sr. Data Engineer

Indianapolis, IN · On-site

$89 - $139/hr

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines that power omni-retail analytics, advanced modeling, and AI/ML ...

New

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines that power omni-retail analytics, advanced modeling, and AI/ML ...

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and ...

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop ETL/ELT pipelines with data validation, quality checks, audit trails, and controlled data ... Engineering Experience (5+ Years)

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Design, develop, and maintain data pipelines and workflows using modern tools and frameworks ... of experience in data engineering or data development * Strong hands-on experience with:

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

You will own end-to-end delivery of data pipelines and data products that power analytics ... This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse ...

Showing results 21-40

Freelance Data Pipeline Engineer information

What does a freelance data pipeline engineer do?

A Freelance Data Pipeline Engineer is responsible for designing, building, and maintaining systems that move and process data efficiently between different sources and destinations. They work on extracting data from various sources, transforming it into usable formats, and loading it into databases or data warehouses. As freelancers, they work independently or on contract for different clients, adapting to various data environments and project requirements. Their work ensures that businesses have access to accurate, timely, and well-structured data for analytics and decision-making.

What are some common challenges faced by freelance data pipeline engineers when working with multiple clients?

Freelance Data Pipeline Engineers often navigate the challenge of adapting to diverse data architectures, tools, and workflows across different clients. Each organization may use unique cloud platforms, data storage solutions, and security protocols, requiring quick learning and flexibility. Additionally, managing communication and expectations remotely, especially when stakeholders are in different time zones, can be demanding. Successfully balancing multiple projects also requires strong organizational skills and the ability to prioritize tasks effectively.

What are the key skills and qualifications needed to thrive as a freelance data pipeline engineer, and why are they important?

To thrive as a Freelance Data Pipeline Engineer, you need strong skills in data modeling, ETL development, and proficiency with programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with tools such as Apache Airflow, Spark, SQL databases, and cloud platforms like AWS or Google Cloud, along with relevant certifications, is often required. Excellent problem-solving, communication, and project management skills set outstanding freelancers apart in client-facing environments. These competencies ensure robust, scalable data pipelines that deliver reliable insights and meet diverse client requirements.

What are the most commonly searched types of Data Pipeline Engineer jobs in Indiana?

The most popular types of Data Pipeline Engineer jobs in Indiana are:

What are popular job titles related to Freelance Data Pipeline Engineer jobs in Indiana?

For Freelance Data Pipeline Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Freelance Data Pipeline Engineer jobs in Indiana look for?

The top searched job categories for Freelance Data Pipeline Engineer jobs in Indiana are:

What cities in Indiana are hiring for Freelance Data Pipeline Engineer jobs?

Cities in Indiana with the most Freelance Data Pipeline Engineer job openings:

Cloud Data Engineer

CSpring

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Re-posted 5 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!