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Weekend 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 ...

CHS, Inc.

Pipeline Engineer

Mcpherson, KS · On-site

Design, plan, schedule, maintain work record data and lead all phases of moderately complex ... Engineering preferred. * Liquid pipeline or petrochemical industry experience. * Drafting ...

TRC Companies, Inc.

Senior Pipeline Engineer

Pittsburgh, PA · On-site

$68K - $136K/yr

Preparation of equipment specifications and data sheet creation * Development of field procedures ... Bachelor's Degree in Engineering or applied science "Mechanical Engineer, Civil Engineer, Pipeline ...

xAI

Gas Pipeline Engineer

Memphis, TN · On-site

We are seeking an exceptional Gas Pipeline Engineer to design, develop, and maintain high ... For details on data processing, view our Recruitment Privacy Notice.

Brightwing

Pipeline Engineer

Detroit, MI · On-site

$50 - $60/hr

Pipeline Engineering experience in: part 192 utility work Synergi modeling regulator station design ... Develops models and analyzes data to support improvement programs, techniques and solutions.

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Weekend Data Pipeline Engineer information

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

As of Jul 3, 2026, the average yearly pay for weekend data pipeline engineer in the United States is $122,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What does a Weekend Data Pipeline Engineer do?

A Weekend Data Pipeline Engineer is responsible for designing, building, and maintaining data pipelines that process and move data efficiently, specifically during weekend shifts. They ensure data flows smoothly between systems, monitor performance, troubleshoot issues, and implement improvements. Their work supports data analysts, scientists, and other stakeholders who rely on timely and accurate data delivery. This role often requires expertise in ETL tools, programming, and cloud platforms, as well as availability for on-call or shift-based work during weekends.

What are the key skills and qualifications needed to thrive as a Weekend Data Pipeline Engineer, and why are they important?

To thrive as a Weekend Data Pipeline Engineer, you need a solid background in computer science, data engineering principles, and experience building and maintaining data pipelines, often supported by a relevant degree. Proficiency with ETL tools, cloud platforms like AWS or GCP, and data processing frameworks such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for managing off-hours incidents and collaborating remotely. These skills and qualities ensure the reliability, efficiency, and scalability of data systems during critical weekend operations.

What are the unique challenges of working as a Weekend Data Pipeline Engineer, and how can I effectively manage them?

As a Weekend Data Pipeline Engineer, you may face challenges such as working with limited real-time support, handling system issues during off-peak hours, and managing updates or maintenance with minimal disruption. Success in this role often requires strong problem-solving skills, the ability to work independently, and clear documentation for handoff to weekday teams. Establishing proactive communication channels and automating monitoring or alerting systems can also help ensure smooth weekend operations and collaboration with your colleagues.
What cities are hiring for Weekend Data Pipeline Engineer jobs? Cities with the most Weekend 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 Weekend Data Pipeline Engineer jobs? States with the most job openings for Weekend Data Pipeline Engineer jobs include:
Weekend Data Pipeline Engineer jobs near you

Data Pipeline Engineer

Kanak Elite Services Inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Posted 13 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