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Data Engineer Contract Jobs in Indiana (NOW HIRING)

BraunAbility

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to ... engineering, data architecture, or database administration within an enterprise environment.

Circle

Staff Software Engineer, Data Platform

Miami, IN · On-site +1

Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security and Compliance teams-on data contract modeling, data lifecycle management, governance and regulatory ...

CACI International, Inc.

Data Scientist

Crane, IN · On-site

CACI is seeking a Data Scientist to provide engineering and technical support to assist our ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

Element Materials Technology

Data Processor

Gary, IN · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Element Materials Technology

Data Processor

Hammond, IN · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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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 Jul 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 are the typical daily responsibilities of a Data Engineer on a contract basis?

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 is a Data Engineer Contract job?

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 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 July 2026, with employment types broken down into 1% As Needed, 63% Full Time, 21% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.
AI Data Architect

AI Data Architect

BraunAbility

Winamac, IN • On-site

$58.75 - $75.50/hr

Full-time

Posted 22 days ago

BraunAbility rating

6.5

Company rating: 6.5 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

353rd of 427 rated machine equipment manufacturers

Job description

Job Description:
Essential Functions:
  • Data Pipelining & Infrastructure

  • Build, optimize, and maintain the data pipelines that feed BAA's AI solutions, connecting both structured and unstructured data from enterprise data lakes (Snowflake), ERP systems (Epicor), CRM (Salesforce), and document repositories (SharePoint).

  • Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to enable highly accurate Retrieval-Augmented Generation (RAG) architectures.

  • Map complex enterprise data schemas to identify the exact tables, fields, and payloads required to support the cognitive architecture designed by the AI Studio Lead.

  • Build and maintain development and testing environments that allow the Studio to experiment rapidly without risking production systems.

  • Security, Governance & Compliance

  • Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment - ensuring AI agents only query data explicitly authorized for the specific end-user.

  • Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level.

  • Serve as the formal infrastructure checkpoint before cognitive architecture development begins - confirming pipeline stability, RBAC compliance, and data integrity prior to any build phase commencing.

  • Monitor data flows for system drift, broken APIs, or context collapse, ensuring AI outputs remain accurate and safe for both office and factory floor operations.

  • Establish and maintain Service Level Agreements (SLAs) for pipeline uptime - detecting and communicating failures before end-users are impacted.

  • Platform Integration & IT Liaison

  • Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack.

  • Serve as the primary technical liaison to BAA IT and Global Data Architecture, ensuring infrastructure provisioning, database access, and cloud networking meet enterprise standards.

  • Advocate for the AI Studio's technical needs within the broader IT governance ecosystem.

  • Implement automated alerting systems for data pipeline failures.

Knowledge, Skills, Abilities:
  • Deep technical expertise working with SQL, enterprise data lakes, and ETL/ELT pipeline construction.

  • Strong proficiency in building and securing API integrations between disparate cloud and on-premises systems.

  • Experience implementing strict security frameworks and Role-Based Access Controls (RBAC) at the database and application layer.

  • Exceptional troubleshooting and debugging skills - able to independently diagnose integration issues across legacy platforms without waiting for vendor support.

  • Comfort operating in a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.

Minimum Requirements:
  • Bachelor's degree and minimum of 6 years of related work experience required.

  • An equivalent combination of education and/or related work experience equal to 10 years will also be considered.

  • 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.

BraunAbility is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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