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Data Engineer C2C Jobs in Indiana (NOW HIRING)

System One Holdings, LLC

Cloud Engineer

Indianapolis, IN · On-site

$92.02 - $105.10/hr

Contract, 6 months to start ( NO C2C W2 Only) Schedule: 40 hours/week Duration: Through January 22 ... Ensure cloud environments align to security standards and regulatory/data governance requirements ...

campus4tech

Senior .NET Developer

Indianapolis, IN · On-site

$52.50 - $67/hr

W2 and C2C candidates can apply for this role The Senior Developer is responsible to analyze ... Ensure accurate and appropriate file exchanges with external trading partners and resolve EDI data ...

campus4tech

Senior Test Analyst

Indianapolis, IN · On-site +1

We need only C2C candidates who are local to Indiana. Relocation will not work for this role Short ... Work with developers to resolve problems and ensure quality standards are met. Data validation:

Navtech, Inc.

SharePoint Developer

Indianapolis, IN · On-site +1

$46.75 - $61.25/hr

... C2C/1099/W2. : Job Title: SharePoint Developer Location: Remote Duration: 6 to 12 CTH Visa : USC ... Ability to leverage SharePoint REST API to retrieve and manipulate data. * Ability to set and ...

All JobsData Engineer C2C JobsData Engineer C2C Jobs in Indiana

Data Engineer C2C information

What is a data engineer C2C?

A Data Engineer C2C (Corp-to-Corp) job refers to a contract position where a data engineer is hired through a third-party consulting firm or their own incorporated business. In this arrangement, the engineer provides services to a client company on a contractual basis, rather than being a direct employee. Data engineers in C2C roles focus on designing, building, and optimizing data pipelines, databases, and big data solutions. These roles often require expertise in SQL, Python, ETL tools, cloud platforms, and data modeling. C2C jobs are common in IT staffing, offering flexibility but requiring independent tax management and business structuring.

What does a data engineer C2C do?

As a Data Engineer C2C, your typical workday involves designing, building, and optimizing data pipelines, collaborating with data scientists and analysts, and ensuring data quality and integrity. Since C2C refers to a contract-based engagement, you may work on multiple short- or long-term projects with different clients, requiring adaptability and strong project management skills. You’ll often attend virtual meetings, troubleshoot data issues, and deliver solutions on tight timelines. The contract structure allows for diverse experience and the opportunity to expand your professional network, but it also means staying proactive about seeking new projects and continuously updating your technical skills.

What are the key skills and qualifications needed to thrive as a data engineer C2C?

To thrive as a Data Engineer C2C, you need strong skills in data modeling, ETL processes, database architecture, and proficiency in languages such as SQL, Python, or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud data services (e.g., AWS, Google Cloud, Azure), and certifications like AWS Certified Data Analytics are highly beneficial. Excellent problem-solving, teamwork, and communication skills set standout candidates apart, enabling effective cross-functional collaboration. These skills are crucial for designing reliable data pipelines, ensuring data quality, and supporting the decision-making needs of organizations in a contract-to-contract (C2C) work environment.

What are the most commonly searched types of Data Engineer C2C jobs in Indiana?

The most popular types of Data Engineer C2C jobs in Indiana are:

What are popular job titles related to Data Engineer C2C jobs in Indiana?

For Data Engineer C2C jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Engineer C2C jobs in Indiana look for?

The top searched job categories for Data Engineer C2C jobs in Indiana are:

Data Engineer C2C jobs near you
Infographic showing various Data Engineer C2C 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.

Data Scientist with Data Bricks Lakehouse contract C2C requirements

Tech Mirrors

Indianapolis, IN • On-site

$90 - $120/hr

Other

Posted 16 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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