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Data Pipeline 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

Build automated ETL/ELT pipelines to extract legacy data (Oracle, SharePoint) and load it into AWS RDS and Azure ADLS Gen2. * Program data cleansing, standardization, and validation logic into the ...

Dexian DISYS

Data Pipeline Engineer

Washington, DC · On-site

$129K - $155K/yr

Build automated ETL/ELT pipelines to extract legacy data (Oracle, SharePoint) and load it into AWS RDS and Azure ADLS Gen2. * Program data cleansing, standardization, and validation logic into the ...

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 ...

Bespoke Technologies, Inc

AI Data Pipeline Engineer

Reston, VA · On-site

$119K - $143K/yr

BT-326 - AI Data Pipeline Engineer Skill Level- Senior Principal Location- Reston, VA **MUST HAVE A POLY CLEARANCE TO APPLY** Required Skills/Capabilities: * Experience working with geospatial data ...

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data.

HMG America

Data Pipeline / ETL Developer

Mountain View, CA · On-site

$59.75 - $78.25/hr

Data Pipeline / ETL Developer Location: Mountainview,USA (Oniste) Key Skills * SQL & Data Warehousing / Business Intelligence skills * ETL/ data pipeline development experience * Build ETL/ELT ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA

The intern will help build data pipelines and LLM-assisted data cleaning workflows that allow the agent to correctly retrieve, interpret, and reason over experiment-related information. Depending on ...

E-Solutions

Data Pipeline / ETL Developer

Mountain View, CA · On-site

$59.75 - $78.25/hr

Data Pipeline / ETL Developer Location: Mountain View, CA Duration: Long-Term Contract  Skill Mandatory Proficiency Level (1-5) Experience in writing SQL Basic and Advanced SQL queries Yes 5 ...

FullStory

Senior Data Pipeline & AI Engineer

Atlanta, GA · On-site

$160K - $170K/yr

Develop and maintain dbt models and pipeline orchestration to ensure timely, fault-tolerant data migrations across hundreds of customer destinations. * Define evaluation frameworks for LLM outputs ...

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Data Pipeline information

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$24K

$123.1K

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How much do data pipeline jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data pipeline in the United States is $123,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $155,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced in Data Pipeline roles, and how are they addressed?

Professionals in Data Pipeline roles often encounter challenges such as handling large volumes of rapidly changing data, ensuring data quality, and minimizing downtime during data transfers. Addressing these issues typically involves implementing robust error-handling processes, automating data validation steps, and using scalable, resilient technologies. Collaboration with data analysts, software engineers, and business stakeholders is key to ensuring that pipelines meet organizational needs and remain flexible with evolving requirements. Continuous learning and adapting to new tools or frameworks also help Data Pipeline engineers stay ahead in this dynamic field.

What is the highest paying job in data?

The highest paying roles in data typically include Data Engineering Managers, Chief Data Officers, and Data Science Directors, with salaries often exceeding $150,000 annually. These positions require advanced skills in data architecture, leadership, and experience with tools like cloud platforms and big data technologies.

What are the key skills and qualifications needed to thrive in the Data Pipeline position, and why are they important?

To excel in a Data Pipeline role, you need strong skills in data engineering, programming (often Python, Java, or Scala), and experience with ETL (Extract, Transform, Load) processes, usually supported by a degree in computer science or a related field. Familiarity with technologies such as Apache Spark, Hadoop, Airflow, Kafka, and cloud platforms like AWS or GCP, along with relevant data engineering certifications, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are critical for success in this position. These technical and interpersonal skills are essential for building, maintaining, and optimizing reliable data workflows that support business decision-making.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data pipelines.

Are pipeline jobs in demand?

Data pipeline jobs are in high demand due to the increasing need for data integration, processing, and management across industries. Skills in tools like Apache Airflow, Spark, and cloud platforms enhance employability, and many organizations seek professionals with experience in building and maintaining scalable data workflows.

What does a Data Pipeline job involve?

A Data Pipeline job involves designing, building, and maintaining systems that automate the flow of data from various sources to storage and processing destinations. It includes extracting data from databases, APIs, or streaming sources, transforming it into the desired format, and loading it into data warehouses, lakes, or analytics platforms. The role requires expertise in data engineering, ETL (Extract, Transform, Load) processes, cloud computing, and workflow orchestration tools. Strong knowledge of programming languages like Python or SQL and experience with frameworks like Apache Airflow or Spark is often essential. The goal is to ensure data is efficiently collected, processed, and made available for analysis and decision-making.

What does a data pipeline do?

A data pipeline is a series of processes that automate the movement, transformation, and storage of data from source systems to destinations like data warehouses or analytics tools. Data engineers designing pipelines use tools such as Apache Airflow or Kafka to ensure data flows efficiently and reliably, supporting data analysis and decision-making. Strong programming skills and knowledge of data integration are essential for this role.
More about Data Pipeline jobs
What cities are hiring for Data Pipeline jobs? Cities with the most Data Pipeline job openings:
What are the most commonly searched types of Data Pipeline jobs? The most popular types of Data Pipeline jobs are:
What states have the most Data Pipeline jobs? States with the most job openings for Data Pipeline jobs include:
What job categories do people searching Data Pipeline jobs look for? The top searched job categories for Data Pipeline jobs are:
Data Pipeline jobs near you
Infographic showing various Data Pipeline job openings in the United States as of June 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 $123,131 per year, or $59.2 per hour.

Data Pipeline Engineer

Kanak Elite Services Inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Posted 9 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