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Data Engineer C2C Remote Jobs (NOW HIRING)

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 ...

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

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

1872 Consulting

Remote Data Engineer

$117K - $140K/yr

Job Summary : 1872 Consulting is seeking a Sr. Data Engineer to provide technical expertise and leadership in designing and delivering end-to-end data engineering solutions. The role involves ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0236980 Location: Fayetteville,NC,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial ...

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 ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Remote

Gain America

Data Engineer - Remote (US)

Hicksville, NY · On-site +1

$124K/yr

Gain America is recruiting a Data Engineer for contract and contract-to-hire engagements with our ... Fully remote (U.S.-based) Core stack: Python, SQL, Spark, Snowflake, dbt, Airflow, AWS/Azure data ...

Samsara

Data Engineer

$117K - $140K/yr

This is a remote position open to candidates residing in the US. Relocation assistance will not be ... Data Engineers to ensure high-quality data for diverse purposes from causal inference, model ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Remote /hybrid flexibility. Position Overview We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business ...

Mondo

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

Data Engineer Location: Remote (EST hours preferred) Duration: 4 Month Contract (through end of 2026) Pay Range: $70-80/hour W2 Hours: 40 hours/week (EST) Benefits: Eligible for Health, Dental ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Remote /hybrid flexibility. Position Overview We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business ...

Mondo

Data Engineer

Baltimore, MD · Remote

$100K - $150K/yr

Data Engineer Location-Type: Hybrid / Travel - Baltimore, MD (50-75% onsite) Work Hours: 40 Hours ... The schedule can be structured rotationally, such as 1-2 weeks onsite followed by 1-2 weeks remote

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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 Sep 10, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Washington, DC • Remote

Magnus Management Group LLC
See more jobs at Magnus Management Group LLCexternal

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Seeking a Data Engineer responsible for designing, developing, and maintaining scalable enterprise data pipelines supporting advanced fraud analytics. The candidate will manage ingestion, transformation, quality control, and optimization of structured and unstructured data across cloud-based analytics platforms.
Responsibilities
  • Should bring a minimum of three (3) years of professional experience in data engineering or a related field. 
  • Demonstrate the ability to design, build, and maintain scalable ETL pipelines across diverse data sources. 
  • Should apply strong SQL and Python skills, or equivalent technologies, to ingest and transform data from flat files, JSON, XML, Excel, APIs, graph databases, with flexibility to adapt to additional formats and sources as needed. 
  • Should possess experience loading, managing, and optimizing data within platforms such as Databricks Unity Catalog and SQL Server managed instances, including work with streaming and batch ingestion frameworks and modern Lakehouse architecture. 
  • Should exhibit strong capabilities in implementing standard quality control processes to ensure data quality, lineage, reliability, and performance while collaborating effectively with cross‑functional teams. 
  • Must have familiarity with data governance, data quality, and data management practices consistent with enterprise data management (EDM) standards. 
  • Must have experience supporting fraud detection, anomaly detection, or financial oversight analytics environment preferred. 
Minimum Qualifications
  • Minimum 3 years data engineering experience. 
  • Strong SQL skills. 
  • Strong Python programming. 
  • Experience building ETL pipelines. 
  • Experience with Databricks. 
  • Experience with Azure SQL or SQL Server. 
  • Experience implementing data quality processes. 
Preferred Qualifications
  • Experience with fraud detection analytics. 
  • Experience with streaming data pipelines. 
  • Experience supporting enterprise data governance. 

This is a remote position.