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Data Engineer Contract Jobs in Indiana (NOW HIRING)

Themesoft Inc

Data Engineer

Chandler, IN · On-site

$101K - $122K/yr

... data engineering including hands-on experience working with Cloud data solutions: creating ... Contract Hybrid 229597-1 12+ Months Thank you for taking the time to read this email. #J-18808 ...

Inetum

Data Engineer / 1

Warsaw, IN · On-site

$96K - $116K/yr

Join our team to leverage your data engineering skills in a dynamic environment, ensuring seamless ... Understanding of data governance and compliance requirements related to customer and contract data,

aFit

Data Engineer - Hybrid, Indianapolis

Indianapolis, IN · On-site

$109K - $131K/yr

About the Role aFit is seeking a Data Engineer to support a State of Indiana government ... This is a contract-to-hire opportunity based in Indianapolis, offering the chance to work with ...

Caraa

Principal Data Engineer

Indianapolis, IN · On-site

$129K - $173K/yr

As Principal Data Engineer , you'll architect Gather AI's data foundation from the ground up ... data contracts, schema validation, and pipeline quality, so WMS data lands in the right place ...

Eli Lilly and Company

CE Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Enable Skill and agent development - architect the data contracts, reference patterns, and guardrails that let Applied-AI / Agent Engineers build CE Skills and agents against governed data, so PHI ...

Eli Lilly and Company

CE Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Enable Skill and agent development - architect the data contracts, reference patterns, and guardrails that let Applied-AI / Agent Engineers build CE Skills and agents against governed data, so PHI ...

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All JobsData Engineer Contract JobsData Engineer Contract Jobs in Indiana

Data Engineer Contract information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data engineer contract jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer contract in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

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

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

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

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

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

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

What cities in Indiana are hiring for Data Engineer Contract jobs?

Cities in Indiana with the most Data Engineer Contract job openings:

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Indiana as of September 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Engineer

Chandler, IN • On-site

Themesoft Inc
IT Services • 11 - 50 employees
Learn more about Themesoft Incexternal

$101K - $122K/yr

Other

Posted 8 days ago

Job description

Job Description:
  • Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
  • Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
  • Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
  • 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
  • 3 plus years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer
  • Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
Must Have:
  • GCP - 5 to 6 years.
  • AI exposure - 6 months to a year
  • Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
  • 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
  • 3 plus years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer
  • Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
In this role candidates will:
  • Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
  • Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
  • Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority

LOCATION - (Preferred) CHANDLER, CHARLOTTE, MINNESOTA, LAS COLINAS

Contract

Hybrid

229597-1

12+ Months

Thank you for taking the time to read this email.

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