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Data Pipeline Engineer Jobs (NOW HIRING)

EXP

Senior Pipeline Engineer

Houston, TX · On-site

$99K - $137K/yr

Be our next Senior Pipeline Engineer! Your work environment at EXP In this role, you will be a part ... Will provide direction to junior/intermediate engineers to complete data analysis, drawing and ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client ...

Kleinfelder Inc

Pipeline Project Engineer

Detroit, MI · Hybrid

The Pipeline Project Engineer develops and applies broad knowledge and skills in various natural ... Acquire and analyze data using appropriate standard quantitative methods * Gas system network and ...

FullStory

Senior Data Pipeline & AI Engineer

Atlanta, GA · On-site

$160K - $170K/yr

... pipelines that process 30 billion+ records per day across customer warehouses, collaborate with product and ML engineers to define how LLM-powered customer agents evaluate and act on Fullstory data ...

Dlapiper

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs)

Dlapiper

Data Engineer

Baltimore, MD

$113K - $136K/yr

Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs)

Dlapiper

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs)

Dlapiper

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs)

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Data Pipeline Engineer information

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$44.5K

$129.7K

$177.5K

How much do data pipeline engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for 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 does a Data Pipeline Engineer do?

A Data Pipeline Engineer designs, builds, and maintains systems that move and process data efficiently. They ensure data flows reliably from various sources to storage and analytics platforms. Their role involves working with ETL processes, data orchestration tools, and cloud or on-premises infrastructure. They collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making.

What are the main challenges faced by Data Pipeline Engineers in their daily work?

Data Pipeline Engineers often encounter challenges like designing scalable systems to handle large volumes of data, ensuring data quality and integrity across multiple sources, and optimizing performance for real-time processing. They may also need to troubleshoot unexpected data failures, adapt to rapidly changing business requirements, and keep up with evolving technology stacks. Collaboration with data scientists, analysts, and software engineers is common to align pipeline development with analytical goals and operational needs. Overcoming these challenges involves continual learning, adaptability, and strong communication within multidisciplinary teams.

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

To thrive as a Data Pipeline Engineer, you need expertise in data modeling, ETL processes, and proficiency with programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Kafka, Airflow, and experience with cloud platforms like AWS or Azure are often required, and certifications in these technologies can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with data teams and troubleshoot complex issues. These skills ensure robust, scalable data pipelines that meet business needs and enable reliable analytics and decision-making.

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Data Pipeline Engineer jobs near you
Data Pipeline Technician - Pennsauken, NJ

Data Pipeline Technician - Pennsauken, NJ

Kett Engineering

Pennsauken, NJ

$28 - $30/hr

Other

Posted 14 days ago

Job description

Data Pipeline Technician - Pennsauken, NJ

Salary Range $28.00 - $30.00 Hourly

Description

Summary

Data Pipeline Technicians execute and maintain the data pipeline processes designed by engineers, ensuring timely and accurate data delivery for AI development.

Responsibilities
  • Plan and execute data collection activities, including log road trips to gather real-world driving data across varied environments.
  • Operate and maintain specialized data collection vehicles and equipment.
  • Ingest, clean, and prepare data for annotation and AI training.
  • Perform maintenance of the AI fleet and verify quality of annotated data.
  • Ensure timely and accurate delivery of data to engineering teams.
  • Support operational needs of Engineering and other departments by providing reliable data and technical assistance.
Impact

Their reliability and attention to detail ensure the smooth operation of OEMs data-driven AI development, while also supporting data needs across the organization.

Required Skills
  • Data Collection and Management – ability to plan and execute large-scale data collection activities, including real-world driving scenarios.
  • Vehicle and Equipment Operation – skilled in operating and maintaining specialized data collection vehicles and hardware.
  • Data Processing – Experience in ingesting, cleaning, and preparing data for annotation and AI training.
  • Quality Assurance – ability to verify accuracy and completeness of annotated data.
  • Technical Reliability – ensure timely and accurate delivery of data to engineering teams.
  • Attention to Detail – maintain precision in data handling and equipment maintenance.
  • Collaboration and Support – Provide technical assistance to engineering and other departments.
Preferred Skills
  • Familiarity with AI development workflows and data annotation processes.
  • Basic knowledge of data pipeline tools and scripting (e.g. Python, Bash).
  • Understanding of vehicle systems and sensor technologies.
  • Experience with Fleet management and preventative maintenance practices.
  • Ability to troubleshoot hardware/software issues in data collection environments.

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