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Data Engineer C2C Remote Jobs in Spring, TX (NOW HIRING)

Cloud Data Engineer

Houston, TX · Remote

$109.30K - $131.30K/yr

This role is ideal for someone with deep hands-on engineering expertise in cloud data ecosystems ... Remote

LiteBridge connects talented data engineers with global opportunities by training them in Palantir ... Flexible, remote work environment. * Placement with international clients upon certification.

SR Data Engineer

Houston, TX · On-site +1

$109.30K - $131.20K/yr

This position is remote but may follow a hybrid schedule for candidates located within 60 miles of ... Mentor junior data engineers, providing technical guidance, code reviews, and best practices ...

Expected rate all inc on c2c /1099 : Job Summary: We are seeking an experienced PLTR Developer to ... The ideal candidate will have strong expertise in data integration analytics pipeline development ...

Expected rate all inc on c2c /1099 : Job Summary: We are seeking an experienced PLTR Developer to ... The ideal candidate will have strong expertise in data integration analytics pipeline development ...

Expected rate all inc on c2c /1099 : Job Summary: We are seeking an experienced PLTR Developer to ... The ideal candidate will have strong expertise in data integration analytics pipeline development ...

Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype UCM engineers who have experience managing and troubleshooting Ribbon SBCs. ( experience with Oracle and Ribbon SBCs is a plus ) but ...

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Data Engineer C2C Remote information

See Spring, TX salary details

$39.6K

$115.4K

$158K

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

As of May 30, 2026, the average yearly pay for data engineer c2c remote in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer in a remote C2C (Corp-to-Corp) setting, and why are they important?

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 some common challenges Data Engineers face when working in a fully remote, C2C (Corp-to-Corp) 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.

What are Data Engineer C2C Remote jobs?

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 are popular job titles related to Data Engineer C2C Remote jobs in Spring, TX? For Data Engineer C2C Remote jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer C2C Remote jobs in Spring, TX look for? The top searched job categories for Data Engineer C2C Remote jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineer C2C Remote jobs? Cities near Spring, TX with the most Data Engineer C2C Remote job openings:
Databricks Data Engineer - Remote with Travel 25%

Databricks Data Engineer - Remote with Travel 25%

K Anand Corporation

Houston, TX • Remote

$109.30K - $131.30K/yr

Other

Posted 15 days ago


Job description

Role- Databricks Data Engineer

Work Location: Houston (TX)- Remote with Travel

Skills-

Data Engineer

We are seeking an Databricks Data Engineer who can play a crucial role in our Fintech data lake project.

What You Bring

- 4+ years of experience working in data warehousing systems

- 2+ strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows for data processing and pipeline development

- 2+ strong hands-on data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion architecture

- 1+ yrs work experience in one of cloud platforms: Azure, AWS or Google Cloud Platform

- Good exposure to Git version control, and CI/CD best practices

- Experience in developing data ingestion pipelines from ERP systems (Oracle Fusion preferably) to a Databricks environment, using Fivetran or any alternative data connectors is a plus

- Experience in a fast-paced, ever-changing and growing environment

- Understanding of metadata management, data lineage, and data glossaries is a plus.

What You'll Do

- Involve in design and development of enterprise data solutions in Databricks, from ideation to deployment, ensuring robustness and scalability.

- Work with Sr. Data Engineer to build, and maintain robust and scalable data pipeline architectures on Databricks using PySpark and SQL

- Assemble and process large, complex ERP datasets to meet diverse functional and non-functional requirements.

- Involve in continuous optimization efforts, implementing testing and tooling techniques to enhance data solution quality

- Focus on improving performance, reliability, and maintainability of data pipelines.

- Implement and maintain PySpark and databricks SQL workflows for querying and analyzing large datasets

Qualifications

- Bachelors Degree in Computer Science, Engineering, Statistics, Finance or equivalent experience

- Good communication skills