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Data Engineer Contract Jobs in Indiana (NOW HIRING)

MatchPoint Solutions

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... Contract/ FTE Pay Range: 80,000-90,000 Responsibilities: Design and Develop Advanced Data Models:

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

$125 - $150/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 ...

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 ...

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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 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 Scientist with Data Bricks Lakehouse contract C2C requirements

Indianapolis, IN • On-site

Tech Mirrors
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Re-posted 5 days ago

Job description

Position: Data Scientist with Data Bricks Lakehouse

Location: Indianapolis, IN (Onsite)

Duration: 8+ months

Description:

We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.

Key ResponsibilitiesData Science & Machine Learning
  • Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
  • Implement end-to-end ML pipelines (data ingestion→training→deployment→monitoring).
  • Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.
Databricks & Lakehouse Architecture
  • Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
  • Optimize Spark jobs for performance and cost efficiency.
  • Apply best practices for data governance, lineage, and security.
Genie (AI/BI & Natural Language Analytics)
  • Configure and enable Databricks Genie for self-service analytics.
  • Design semantic layers and curated datasets optimized for natural language queries.
  • Partner with business stakeholders to translate questions into Genie-enabled insights.
Business Enablement & Collaboration
  • Work closely with product owners, analysts, and business leaders to identify high-value use cases.
  • Communicate complex analytical results in a clear, business-friendly manner.
Required Qualifications
  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering, or a related field.
  • 4+ years of experience in data science or advanced analytics.
  • Hands‑on experience with Databricks and Apache Spark.
  • Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
  • Experience building and deploying ML models in production.
  • Solid understanding of SQL and data modeling.
  • Experience with MLflow, model lifecycle management, and experimentation.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.

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