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Freelance 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 ...

CGB Enterprises

Senior Controls Engineer

Mount Vernon, IN · On-site

$88K - $116K/yr

Backup programming and data. * Troubleshoot controls issues including PLC, HMI, VFD both remotely ... Experience with Delta V, ABB Freelance, Dataparc, Allen Bradley PLC's Knowledge, Skills, and ...

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 ...

Solomon Page

Marketing Cloud Specialist

Indianapolis, IN · On-site

$55 - $60/hr

Develop and maintain data integrations using Salesforce Data Cloud, Data Sync, and ETL tools ... Experience working with Salesforce Marketing Cloud in a developer, specialist, or similar capacity.

Solomon Page

Marketing Cloud Specialist

Indianapolis, IN · On-site

$55 - $60/hr

Develop and maintain data integrations using Salesforce Data Cloud, Data Sync, and ETL tools ... Experience working with Salesforce Marketing Cloud in a developer, specialist, or similar capacity.

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Freelance Data Engineer C2C information

What is a freelance data engineer C2C?

A Freelance Data Engineer C2C (Corp-to-Corp) is a data engineering professional who works independently or through their own registered business entity, providing data engineering services to clients on a contract basis. The C2C arrangement means the contract is between the client's corporation and the freelancer's corporation, rather than as a direct employee or as an individual contractor (1099). Freelance data engineers typically design, build, and maintain data pipelines and infrastructure, working with large datasets to support business needs. This setup allows for more flexible, project-based work and can offer tax advantages for both the freelancer and the client.

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

To thrive as a Freelance Data Engineer C2C, you need expertise in data modeling, ETL processes, SQL, and proficiency in at least one programming language like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is typically required. Strong problem-solving skills, effective communication, and the ability to manage projects independently distinguish top freelance professionals. These capabilities ensure you can deliver scalable, reliable data solutions tailored to diverse client needs in a dynamic contract environment.

What are some common challenges faced by freelance data engineers working on a C2C basis, and how can they be managed?

Freelance Data Engineers working on a Corp-to-Corp (C2C) basis often face challenges such as quickly adapting to different clients' data infrastructures, managing multiple projects simultaneously, and ensuring clear communication with remote or distributed teams. Navigating varied tech stacks and client-specific security protocols can also be demanding. To manage these challenges, it's important to establish thorough onboarding processes, maintain organized project management practices, and set clear expectations with clients regarding deliverables and timelines.

What is the difference between Freelance Data Engineer C2C vs Freelance Data Analyst C2C?

AspectFreelance Data Engineer C2CFreelance Data Analyst C2C
Required CredentialsTypically requires data engineering certifications, SQL, Python, cloud platform knowledgeOften requires data analysis certifications, SQL, Excel, visualization tools
Work EnvironmentFocus on building data pipelines, ETL processes, data architectureFocus on interpreting data, creating reports, dashboards
Employer & Industry UsageUsed in tech, finance, healthcare for infrastructure projectsUsed across marketing, retail, consulting for insights and reporting

Freelance Data Engineer C2C professionals primarily develop data infrastructure, while Freelance Data Analysts focus on interpreting data and creating reports. Both roles require SQL and related skills but differ in their core responsibilities and industry applications.

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

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

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

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

What cities in Indiana are hiring for Freelance Data Engineer C2C jobs?

Cities in Indiana with the most Freelance Data Engineer C2C job openings:

Freelance Data Engineer C2C jobs near you
Infographic showing various Freelance Data Engineer C2C job openings in Indiana as of June 2026, with employment types broken down into 62% Full Time, 32% Part Time, and 6% 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 17 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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