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Temporary Data Pipeline Engineer Jobs (NOW HIRING)

Kanak Elite Services Inc

Data Pipeline Engineer

Dallas, TX · On-site

$113K - $136K/yr

DATA PIPELINE ENGINEER Location: Dallas, TX - Hybrid MUST BE CURRENTLY WORKING AT A BANK A leading global financial institution is seeking a highly skilled Data Pipeline Engineer to drive its unified ...

Dexian

Data Pipeline Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Certified Data Engineer - Associate or Microsoft Certified Azure Data Engineer. 3.3 Mandatory Experience * 5+ years building ETL pipelines, with heavy emphasis on one-time mass data migrations ...

Dexian DISYS

Data Pipeline Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Certified Data Engineer - Associate or Microsoft Certified Azure Data Engineer. 3.3 Mandatory Experience * 5+ years building ETL pipelines, with heavy emphasis on one-time mass data migrations ...

Snowrelic Inc

Data Pipeline Engineer - W2

Dallas, TX · On-site

$113K - $136K/yr

Data Pipeline Engineer Location: Dallas TX (Hybrid) Must have - (Only Consider 14-15 Years profile) Mandatory Requirements * 3-8 years of experience building and optimizing data pipelines within ...

Gul Interstate

PRINCIPAL PIPELINE ENGINEER

Houston, TX · On-site

ROW Selection (Perm and Temp); Workspace Selection; FERC Filing Process; Class Location Study; MLV ... in pipeline engineering, pipeline operations, or pipeline construction. • Familiar with all ...

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How much do temporary data pipeline engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for temporary data pipeline engineer 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 the difference between Temporary Data Pipeline Engineer vs Data Engineer?

AspectTemporary Data Pipeline EngineerData Engineer
CredentialsTypically requires a bachelor's degree in CS, IT, or related field; certifications like AWS or Azure are a plusSimilar credentials; often more experience or advanced certifications
Work EnvironmentContract-based, project-specific, often in tech or finance industriesFull-time, ongoing roles in various industries including tech, finance, healthcare
Employer UsageUsed for short-term projects or to fill skill gaps temporarilyLong-term positions focused on building and maintaining data infrastructure
Search & Comparison IntentOften searched by companies needing temporary data pipeline supportMore common for professionals seeking permanent roles

The main difference between a Temporary Data Pipeline Engineer and a Data Engineer lies in the employment duration and scope. Temporary Data Pipeline Engineers are hired for short-term projects, focusing on specific tasks, while Data Engineers typically hold permanent roles responsible for ongoing data infrastructure development and maintenance.

What cities are hiring for Temporary Data Pipeline Engineer jobs? Cities with the most Temporary Data Pipeline Engineer job openings:
What are the most commonly searched types of Data Pipeline Engineer jobs? The most popular types of Data Pipeline Engineer jobs are:
What states have the most Temporary Data Pipeline Engineer jobs? States with the most job openings for Temporary Data Pipeline Engineer jobs include:
Temporary Data Pipeline Engineer jobs near you

Data Pipeline Engineer

Kanak Elite Services Inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Posted 12 days ago

Job description

Role: DATA PIPELINE ENGINEER

Location: Dallas, TX – Hybrid


MUST BE CURRENTLY WORKING AT A BANK

A leading global financial institution is seeking a highly skilled Data Pipeline Engineer to drive its unified cloud and data strategy within the Global Banking and Markets (GBM) division

As a contractor, you will be part of a high-performing team of professionals within a 12,000+ member global organization, delivering cutting-edge technology and governance solutions for clients and partners.

Responsibilities:

  • Unified cloud/data strategy: centralize into functional models (real-time, analytical, operational), modernize platforms, enable AI/ML.

Mandatory Requirements

  • 3–8 years of experience building and optimizing data pipelines within Financial Services or Big Tech environments
  • Hands-on expertise with AWS, Spark, Kafka, and ETL frameworks
  • Strong proficiency in data modeling and experience with lakehouse migration projects
  • Proven track record of consolidating fragmented data sources into centralized platforms
  • Advanced skills in SQL and Python

Nice to Have 

  • Experience with real-time data processing in regulated environments
  • Familiarity with AI/ML data enablement use cases

 

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email : Anjali08@kanakits.com