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Data Engineer C2C Remote Jobs (NOW HIRING)

Urban SDK

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

K1X

Data Engineer

Indianapolis, IN · Remote

$117K - $140K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years. This is hands-on engineering position requiring ...

K1X

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation initiative. You will design, develop, and maintain scalable data solutions ...

1 point system

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

Spruce Infotech

Data Engineer

$117K - $140K/yr

Data Engineer Client : Infosys/First citizens bank We are hiring Data Engineer to lead the design ... Remote/ Infosys hub location if client asked (Pheonix, Arizona - Indianapolis, Indiana - Raleigh ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

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Data Engineer C2C Remote information

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How much do data engineer c2c remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer c2c remote in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data engineer c2c remote?

Data Engineer C2C Remote jobs refer to contract positions for data engineers that are fulfilled remotely and use a 'Corp-to-Corp' (C2C) arrangement. In C2C, a contractor works through their own corporation or as part of a consulting company rather than as a direct employee or individual contractor (W2 or 1099). Data engineers in these roles are responsible for designing, building, and maintaining data pipelines and infrastructure, usually for clients across different locations. These remote roles offer flexibility in work location and are common in the tech industry, especially for specialized projects.

What skills and qualifications are needed to thrive as a data engineer in a remote C2C setting?

To thrive as a Data Engineer C2C Remote, you need expertise in data modeling, ETL processes, and proficiency in programming languages like Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is highly valued. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills and qualities are crucial for building scalable data solutions, ensuring data integrity, and delivering results in a distributed team setting.

What are common challenges data engineers face when working in a fully remote C2C arrangement?

Data Engineers working remotely on a C2C basis often encounter challenges such as aligning with distributed teams across different time zones, ensuring secure data access, and managing communication with multiple stakeholders. Since C2C roles are typically contract-based, there can be less direct oversight and more emphasis on delivering results independently, which requires strong self-management and proactive reporting. Additionally, integrating with existing data infrastructure remotely may involve navigating different security protocols and adapting to each client’s unique tech stack.
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Data Engineer C2C Remote jobs near you
Infographic showing various Data Engineer C2C Remote job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Urban SDK

Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

About the role
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering practices, including automated testing, CI/CD, and data quality monitoring.
Responsibilities
  • Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms.
  • Manage large-scale geospatial and temporal datasets stored in AWS S3.
  • Collaborate with data scientists to productionize machine learning models and ensure smooth data availability.
  • Implement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
  • Optimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently.
  • Develop and maintain documentation for data workflows, architecture, and processes.
  • Work closely with cross-functional teams to understand data requirements and ensure timely delivery.
  • Stay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 3+ years of experience as a data engineer or in a similar role.
  • Strong proficiency in Python and associated libraries for data engineering (pandas, PySpark, etc.).
  • Hands-on experience with Databricks and Spark for large-scale data processing.
  • Experience with AWS services, especially S3, and knowledge of cloud-based data architectures.
  • Solid understanding of data pipeline testing, version control, and CI/CD practices.
  • Experience with SQL and NoSQL databases.
  • Strong problem-solving skills and attention to detail.

Preferred Skills
  • Familiarity with geospatial data formats and processing (GeoJSON, Shapefiles, PostGIS).
  • Experience with workflow orchestration tools (Databricks, Prefect, or similar).
  • Knowledge of containerization (Docker/Kubernetes) and cloud-native data solutions.
  • Experience supporting machine learning pipelines in production.

Compensation
  • Location: Jacksonville, FL (Town Center Area) or Remote
  • Type: Full-time
  • Reports to: Director of Engineering
  • Salary Based on Experience
  • Annual Bonus
  • Medical, Vision, Dental, 401(k)
  • 21 Days Vacation
  • Office Lunch provided Daily

About Urban SDK
Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence.
Our Commitment to People
We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work.

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