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From Home Data Engineer C2C Jobs (NOW HIRING)

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Integrate data from multiple sources, including APIs, databases, and third-party applications ... Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the ...

... challenges from multiple perspectives, and leaning in to solve independently or with others ... Must be able to work on a W2 basis (No C2C) Recruiter Name: Gaurav Gulati Recruiter Phone: Benefits:

Lead Data Engineer

Cincinnati, OH

$109K - $131K/yr

*** This position is not available for sponsorship or C2C candidates at this time. *** The Opportunity Our client is looking for a sharp, hands-on data engineering leader to own and evolve their ...

Data Engineer

$130K - $160K/yr

Extract data from diverse sources including databases, flat files, and external systems * Transform ... C2C Solicitation This is a direct hire position ineligible for third party partnering. OM Group ...

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS: Exempt Purpose: Data ... General office working conditions can be remote work from home or in the office. Each department ...

Data Engineer - Journeyman

Fairfax, VA · On-site

$117K - $140K/yr

The role involves engineering data integration solutions for cybersecurity telemetry and ... from integrated SIEM, C2C, and DLP data sources. • Help maintain telemetry pipelines that ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Engineering ---|--- POSITION: | Data Engineer REPORTS TO: | Director, Engineering SUPERVISES ... General office working conditions can be remote work from home or in the office. Each department ...

Data Engineer

Pittsburgh, PA · Remote

$117K - $140K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

C2C/W2 role Exp : 10+ Yrs : Basic Requirement: Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP). The ideal candidate will ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

5 Days onsite role in Warren, MI Only W2 no C2C 50/hr on w2 max Specific Responsibilities of this ... integrations from a variety of formats including files, database extracts and APIs. • Data ...

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From Home Data Engineer C2C information

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How much do from home data engineer c2c jobs pay per year?

As of Jun 14, 2026, the average yearly pay for from home data engineer c2c 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.
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$90K - $110K/yr

Contractor

Posted 4 days ago


Job description

Data Engineer - Contract to Hire

Location: Orlando, FL 32801

Pay: $90,000-$110,000

Schedule: Mon - Fri 8:00a-5:00p

***Candidates must be an U.S. Citizen or Green Card holder. No Sponsorship will be provided. This role is not open for C2C, 3rd party, or W2 Vendor Referrals!

Job Summary

The Data Engineer will partner with a wide range of business units to implement analytical and data solutions that drive business value and enhance customer satisfaction. In this role, you will be responsible for collecting, storing, processing, analyzing, and modeling large datasets, as well as building data-driven applications. The primary focus will be on building, implementing, monitoring, and integrating scalable analytical solutions with the architecture used across the organization.

How You'll Shine

  • Pipeline Development: Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into our central data warehouse and moving data out to applications and affiliates.
  • Platform Management: Maintain, monitor, and optimize our analytics data warehouses and overall data platform.
  • Cloud & Infrastructure Support: Deliver hands-on development, deployment, maintenance, and support for a variety of cloud and on-premise solutions, web service infrastructures, and supporting technologies.
  • Automation: Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks.
  • Cross-Functional Collaboration: Partner closely with project managers, business analysts, data scientists, and key stakeholders to translate functional business requirements into technical specifications and ensure data infrastructure meets business needs.
  • Strategic Thinking: Maintain a critical eye on our technical strategy, proactively identifying performance gaps and designing creative solutions.

What You'll Bring

Education & Core Skills

  • Education: Bachelor's degree in Computer and Information Science required (Master's degree preferred).
  • Certifications: Snowflake and Python certifications are highly preferred, but not required.
  • Professional Skills: Excellent interpersonal, communication, and problem-solving skills. Exceptionally organized with strong attention to detail, systemic thinking, and a collaborative team-player mindset.

Technical Experience & Qualifications

  • Experience: 3+ years of related data engineering or IT experience.
  • Big Data & Cloud (1+ years): Proven experience with the Apache Spark framework, Hadoop, Java/Scala, Python, and AWS architecture.
  • Development & .NET (1+ years): Experience with Microsoft .NET technologies (C#, VB.Net) and designing, developing, and deploying Windows and Web applications.
  • Database & Data Modeling (2+ years): Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and Snowflake. Strong working knowledge of relational databases and query authoring (SQL).
  • Data Integration & ETL (1+ years): Proven experience building data pipelines, APIs, and ETL flows in cloud and on-premise environments using tools like Snowpipe, Informatica, Airflow, and Kafka.
  • Analytical Capabilities: A successful history of manipulating, processing, and extracting value from large, disconnected, or unstructured datasets, alongside the ability to perform root-cause analysis on data processes to identify business opportunities.

A strong team player with the ability to work independently when necessary.