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Permanent Data Engineer C2C Jobs in Texas (NOW HIRING)

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW ...

Argyllinfotech

Senior Data Engineer

Dallas, TX · On-site

$55/hr

... C2C / $50 on W2 Customer - Centene We are seeking an experienced Senior Developer to support the ... Build AWS-based data pipelines, event-driven workflows, APIs, microservices, and integration ...

New

TEKsystems

Junior GCP Data Engineer

Irving, TX · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN IRVING, TX Top Skills' Details 1. 3+ years of experience in Data Engineering including hands on experience ...

TEKsystems

Junior GCP Data Engineer

Irving, TX · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN IRVING, TX Top Skills' Details 1. 3+ years of experience in Data Engineering including hands on experience ...

Genesis10

Data Engineer

Plano, TX · On-site

$90K - $150K/yr

Genesis10 is currently seeking a Data Engineer for a direct hire opportunity with a Financial ... permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of ...

CFC

Lead Data Engineer

Austin, TX · On-site

$140 - $190/hr

Lead Data Engineer Department: Global Security Services Employment Type ... Permanent - Full Time Location: US - Texas Reporting To: Jeff Destine Description CFC is on a ...

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a ...

Guidehouse

Public Health Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

DATA ENGINEER (STARLINK) At SpaceX, we're leveraging our experience building rockets and spacecraft ... S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or ...

Guidehouse

Public Health Data Engineer

San Antonio, TX

$103K - $124K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a ...

3B Staffing LLC

Bigdata Engineer

Plano, TX · On-site

$53.50 - $71/hr

Big Data Engineer Plano, TX 6 Months+ No C2C, any visa is okay. Total Experience Required * 4 * The candidate should have performed client facing roles and possess excellent communication skills

3B Staffing LLC

Bigdata Engineer

Plano, TX · On-site

$53.50 - $71/hr

Big Data Engineer Plano, TX 6 Months+ No C2C, any visa is okay. Total Experience Required * 4 * The candidate should have performed client facing roles and possess excellent communication skills

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Showing results 21-40

All JobsPermanent Data Engineer C2C JobsPermanent Data Engineer C2C Jobs in Texas

Permanent Data Engineer C2C information

What is a permanent data engineer C2C?

Permanent Data Engineer C2C jobs refer to full-time data engineering positions where the hiring arrangement is on a 'Corp-to-Corp' (C2C) basis. In C2C contracts, a candidate works as an employee of a consulting or staffing company, which then contracts their services out to a client company. As a Permanent Data Engineer, you would be responsible for designing, building, and maintaining data systems, pipelines, and databases to support organizational data needs on a long-term basis. This setup allows for both the stability of a permanent role and the flexibility of a consulting arrangement.

What skills and qualifications are needed to thrive as a permanent data engineer C2C?

To thrive as a Permanent Data Engineer (C2C), you need strong expertise in data modeling, ETL processes, SQL, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud technologies (AWS, Azure, or GCP), and relevant certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work efficiently with cross-functional teams and translate data requirements into actionable solutions. These skills and qualifications ensure the development, optimization, and maintenance of data pipelines that support robust business decision-making.

What challenges might a permanent data engineer C2C face when working with different client teams?

As a Permanent Data Engineer working C2C (Corp-to-Corp), you may encounter challenges like adapting quickly to various clients' tech stacks and data infrastructures. Communication can be complex, as you'll often collaborate with cross-functional teams who may have differing priorities or familiarity with data engineering concepts. Ensuring data quality and consistency across disparate systems is another common hurdle. Staying organized and proactive in documenting your work will help you succeed in these dynamic environments.

What is the difference between Permanent Data Engineer C2C vs Contract Data Engineer?

AspectPermanent Data Engineer C2CContract Data Engineer
Employment TypeFull-time, permanent employment with benefitsTemporary, project-based engagement without benefits
Work EnvironmentTypically in-house or long-term remoteOn-site or short-term remote, often at client sites
Credentials & CertificationsOften requires relevant certifications (e.g., AWS, Azure)Similar certifications may be preferred but not always mandatory
Industry UsageCommon in large organizations with ongoing data needsFrequent in consulting or project-specific roles

In summary, Permanent Data Engineer C2C roles offer stability and benefits, while Contract Data Engineer positions provide flexibility for short-term projects. Your choice depends on your career goals and preferred work environment.

What are the most commonly searched types of Data Engineer C2C jobs in Texas?

The most popular types of Data Engineer C2C jobs in Texas are:

What are popular job titles related to Permanent Data Engineer C2C jobs in Texas?

For Permanent Data Engineer C2C jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Permanent Data Engineer C2C jobs in Texas look for?

The top searched job categories for Permanent Data Engineer C2C jobs in Texas are:

What cities in Texas are hiring for Permanent Data Engineer C2C jobs?

Cities in Texas with the most Permanent Data Engineer C2C job openings:

Permanent Data Engineer C2C jobs near you
Infographic showing various Permanent Data Engineer C2C job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Databricks Data Engineer

IT America Inc

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted 17 days ago

Job description

Position: Databricks Data Engineer

Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) 

Duration: Long-Term Contract

Key Skills: Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW modernization experience, and ideally GenAI/LLM/Agent experience

Responsibilities & Skills:

  • 12yrs of Data Engineer and IT exp is mandatory
  • Design and implement enterprise scale solutions on the Databricks Lakehouse Platform.
  • Architect end to end data pipelines for batch and real time processing using Apache Spark and PySpark.
  • Develop scalable data ingestion, transformation, and data quality frameworks.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
  • Build and optimize data warehouses, data marts, and analytical solutions.
  • Implement data governance, security, lineage, and access controls using Unity Catalog.
  • Develop and support AI/BI dashboards, semantic models, and self-service analytics solutions.
  • Configure and optimize Genie Spaces to enable natural language business queries and conversational analytics.
  • Design and deploy Generative AI and RAG based solutions using Databricks Mosaic AI and Vector Search.
  • Collaborate with business users to translate requirements into scalable data and AI solutions.
  • Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.
  • Lead cloud native implementations across  Azure environments.
  • Define architecture standards, best practices, and reusable design patterns.
  • Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.
  • Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.
  • Build and maintain Genie Spaces for business self-service analytics.
  • Create semantic models, metrics, and trusted data assets for AI driven reporting.
  • Develop natural language to SQL analytics solutions using Databricks Genie.
  • Implement RAG solutions using enterprise data and Vector Search.
  • Optimize AI/BI dashboards and conversational analytics experiences.
  • Troubleshoot Spark performance, query optimization, and workload management.
  • Automate data validation, monitoring, and governance controls.
  • Support AI use cases using Mosaic AI model serving and inference endpoints.

Technical Skills:

  • Databricks Lakehouse Platform
  • Apache Spark, PySpark, Spark SQL
  • Python, SQL
  • Delta Lake, Delta Live Tables, Lakeflow
  • Unity Catalog
  • Databricks AI/BI and Genie
  • Mosaic AI, Vector Search, RAG
  • Data Modeling (Dimensional & Data Vault)
  • Structured Streaming
  • Data Quality and Data Governance
  • Azure
  • Terraform, Git, Azure DevOps, Jenkins
  • REST APIs and Data Integration
  • Performance Tuning and Cost Optimization