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Permanent Data Engineer C2C Jobs in Dallas, TX (NOW HIRING)

Strategic Staffing Solutions

Jr. Data Engineer

Plano, TX · On-site

$109K - $131K/yr

No C2C eligibility for this position. Visa Sponsorship is Available. The details are below. "Beware of scams. S3 never asks for money during its onboarding process." Job Title: Jr. Data Engineer ...

Strategic Staffing Solutions

Jr. Data Engineer

Plano, TX · On-site

$110K - $132K/yr

No C2C eligibility for this position. Visa Sponsorship is Available! The details are below. Beware of scams. S3 never asks for money during its onboarding process. Job Title: Jr. Data Engineer ...

Anveta Inc

Data Engineer

Westlake, TX · On-site

$60/hr

Data Engineer Target Pay Rate: Maximum USD $60.00/hr C2C * Location: Westlake, TX * Work Mode: Hybrid / Onsite Monday through Friday every other week (Connect weeks required) * Interview Process:

TEKsystems

Cloud Data Engineer

Dallas, TX

$130K - $140K/yr

... Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual, 2nd onsite ... No C2C. About the Opportunity Our client is building the next generation of its enterprise data ...

TEKsystems

Cloud Data Engineer

Dallas, TX

$130K - $145K/yr

... Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual, 2nd onsite ... No C2C. About the Opportunity Our client is building the next generation of its enterprise data ...

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

On C2C Job Summary: The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on ...

TEKsystems

Data Engineer

Coppell, TX

$50 - $80/hr

No C2C* Description As a Data Engineer, you'll partner closely with our Principal Data Engineers to keep pipelines healthy, resolve bugs, and deliver well-modeled, trusted data for reporting and ...

TEKsystems

Data Engineer

Coppell, TX

$50 - $80/hr

No C2C* Description As a Data Engineer, you'll partner closely with our Principal Data Engineers to keep pipelines healthy, resolve bugs, and deliver well-modeled, trusted data for reporting and ...

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 ...

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 ...

Avani Technology Solutions, Inc.

Bigdata Engineer

Plano, TX · On-site

$52 - $69/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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All JobsPermanent Data Engineer C2C JobsPermanent Data Engineer C2C Jobs in Dallas, TX

Permanent Data Engineer C2C information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

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

As of Sep 2, 2026, the average yearly pay for permanent data engineer c2c in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

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 Dallas, TX?

The most popular types of Data Engineer C2C jobs in Dallas, TX are:

What are popular job titles related to Permanent Data Engineer C2C jobs in Dallas, TX?

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

What job categories do people searching Permanent Data Engineer C2C jobs in Dallas, TX look for?

The top searched job categories for Permanent Data Engineer C2C jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Permanent Data Engineer C2C jobs?

Cities near Dallas, TX 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 Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Snowflake DATA Engineer C2C jobs in Richardson TX

Tech Mirrors

Richardson, TX • On-site

$100 - $130/hr

Other

Posted yesterday

New

Job description

Snowflake Data Engineer

Location: Richardson, TX (onsite)
Contract

We are looking for a Senior Data Platform Engineer candidate who will design and operate data pipelines that connect heterogeneous source systems, normalize data into consumption‑ready models in Snowflake, and build AI‑powered agents that surface intelligence across the platform.

Core Responsibilities
  • Snowflake engineering: design schemas, write performant SQL, manage roles, warehouse sizing, and implement change management practices.
  • ETL/ELT development: build and maintain pipelines that ingest from diverse sources (APIs, databases, event streams) and normalize data for BI and downstream consumers.
  • AI agent development: leverage Snowflake Cortex and AI agent frameworks to build intelligent data products and automate analytical workflows.
  • Backend API connectivity: develop backend integrations with internal and third‑party systems via REST APIs and backend services.
Required Skills
  • Snowflake hands‑on experience building and optimizing data models, writing advanced SQL (PIVOT, GROUPING SETS, ROLLUP/CUBE), and managing Snowflake environments in production.
  • Multisource integration: proven ability to connect and ingest data from heterogeneous sources including relational databases, REST APIs, SaaS platforms, and event streams.
  • ETL/ELT design: experience designing normalized schemas and transformation pipelines that produce clean, consumption‑ready data models using snowflake‑schema dimensional modeling.
  • Python: strong proficiency for data engineering tasks, pipeline orchestration, data transformation, API clients, and scripting automation.
  • AI agents within Snowflake: familiarity with Snowflake Cortex LLM functions and agent‑based patterns for building intelligent, data‑driven workflows inside the Snowflake ecosystem.
  • Backend integration patterns: practical experience building backend services and integrations using Python, REST APIs, and related tooling (authentication, pagination, error handling, retry logic).
Additional Skills
  • PostgreSQL relational databases: working knowledge of PostgreSQL or equivalent RDBMS, including query optimization, indexing, and schema design patterns.
  • Go (Golang): experience building backend services or microservices in Go is a strong differentiator.
  • Cloud data infrastructure: familiarity with Azure or AWS data services (e.g., Azure Data Factory, Event Hubs, S3 as source or orchestration layers).
  • Data observability and testing: experience with data quality frameworks (dbt tests) or observability tooling (Great Expectations, Monte Carlo, etc.).

You’re a self‑directed engineer who thrives at the intersection of data engineering and platform thinking, can navigate ambiguous requirements, design for scale, and communicate clearly across engineering and product stakeholders. You care about data quality, documentation, and building systems that other teams love to consume.

Skills
  • Mandatory Skills: ETL concepts, Python for data, Snowflake.
  • Good to Have Skills: AWS S3, Azure Data Factory, PostgreSQL, Python – Data Science, Snowflake AI/ML.
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