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Data Engineer Contract Jobs in Indiana (NOW HIRING)

RADcube

Data Analyst

Indianapolis, IN · On-site

$75 - $110/hr

Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted ... You will work closely with data engineering teams to access and shape data from modern cloud ...

New

SAIC

Data Analyst

Bedford, IN · On-site

... contract requirements and government-directed reporting schedules * Prepare and deliver formal ... Collaborate with government data stewards, data engineers, and IT personnel to ensure data ...

Socket.dev

Data Analyst

Bedford, IN · On-site

$120 - $170/hr

... contract requirements and government-directed reporting schedules * Prepare and deliver formal ... Collaborate with government data stewards, data engineers, and IT personnel to ensure data ...

New

SAIC

Data Analyst

Bedford, IN · Remote

... contract requirements and government-directed reporting schedules * Prepare and deliver formal ... Collaborate with government data stewards, data engineers, and IT personnel to ensure data ...

SAIC

Data Analyst

Bedford, IN · On-site

... contract requirements and government-directed reporting schedules * Prepare and deliver formal ... Collaborate with government data stewards, data engineers, and IT personnel to ensure data ...

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 ...

SAIC

Data Analyst with Security Clearance

Bedford, IN · On-site

... contract requirements and government-directed reporting schedules * Prepare and deliver formal ... Collaborate with government data stewards, data engineers, and IT personnel to ensure data ...

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Showing results 21-40

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 Aug 20, 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Analyst

RADcube

Indianapolis, IN • On-site

$75 - $110/hr

Other

Posted 2 days ago

New

Job description

Indianapolis, United States | Posted on 08/07/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

Digital Transformation and strategy consulting.

Custom Software Development tailored to specific business needs.

Advanced Data Analytics and AI-driven platforms.

Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job DescriptionData Analyst

Hybrid – Indianapolis, IN

About the Role

We are seeking a Data Analyst with 3–5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role focuses on turning large, complex datasets into clear, actionable insight for business stakeholders. You will work closely with data engineering teams to access and shape data from modern cloud platforms, and with business groups to understand their questions and translate them into reporting, dashboards, and analysis.

Key Responsibilities
  • Analyze large datasets housed in Databricks and AWS data platforms to answer business questions and support decision-making
  • Build and maintain reports, dashboards, and visualizations for pharma business stakeholders
  • Partner directly with business groups to gather requirements, clarify data needs, and translate them into analysis deliverables
  • Write and optimize SQL queries against large-scale (Big Data) datasets, including data processed through Spark pipelines
  • Perform data validation and quality checks to ensure accuracy and consistency of reporting outputs
  • Present findings and recommendations to both technical and non-technical audiences
  • Apply pharma domain knowledge to contextualize analysis and ensure relevance to business needs
  • Collaborate with data engineers to flag data gaps or pipeline issues affecting analysis
Requirements

Required Qualifications

  • 3–5 years of data analysis / business intelligence experience specifically within the pharma industry
  • Working knowledge of Databricks for querying and analyzing data
  • Familiarity with AWS data services (e.g., S3, Redshift, Glue) in an analytics context
  • Comfortable working with Big Data and datasets processed through Apache Spark
  • Strong SQL skills; experience with Python for data analysis is a plus
  • Demonstrated ability to understand pharma business needs and speak to pharma business groups
  • Strong communication skills, with demonstrated ability to present data to business stakeholders
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Business Analytics, or related), or equivalent practical experience
Preferred Qualifications

Preferred Qualifications

  • Experience with BI/visualization tools
  • Exposure to Delta Lake, Snowflake, or similar modern data platforms
  • Prior experience supporting pharma commercial, clinical, or R&D reporting functions
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