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Data Pipeline Jobs (NOW HIRING)

Yochana

Data Pipeline / ETL Developer

El Centro, CA · On-site

$50.50 - $66.25/hr

Job Title SQL & Data Warehousing / Business Intelligence skills ETL/ data pipeline development experience Build ETL/ELT pipelines, implement SCD Type 2 models Data transformations, fact/ reference ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

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 ...

Paylocity

Senior Engineer Data, Pipeline Team

Schaumburg, IL · On-site

$103K - $141K/yr

Position Overview Join our Pipeline Team as a Senior Data Engineer - a role designed for a software engineer who thrives at the intersection of high-scale data and distributed systems. You won't just ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Data Pipeline Development and Management: * Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer. * Develop ETL/ELT processes to ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Data Pipeline Development and Management: * Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer. * Develop ETL/ELT processes to ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Data Pipeline Development and Management: * Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer. * Develop ETL/ELT processes to ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Data Engineer - Data Pipeline & ETL 46034 Overview and Responsibilities Job Summary The Data Engineering team is hiring a Data Engineer - Data Pipeline & ETL. You will help build and maintain ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Modern Data Pipeline Development * Build and maintain modular data components following established framework patterns. * Contribute to architectural decisions across streaming systems, data lakes ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Modern Data Pipeline Development * Build and maintain modular data components following established framework patterns. * Contribute to architectural decisions across streaming systems, data lakes ...

MFour Data Research

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Responsibilities : • Own MFour's consumer-data pipeline -- the core engine behind insights hundreds of leading brands rely on. • Solve a genuinely hard problem: unifying real-time app, web ...

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Data Pipeline information

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$24K

$123.1K

$200K

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 / ETL Developer

Yochana

El Centro, CA • On-site

$50.50 - $66.25/hr

Other

Posted 6 days ago

Job description

Job Title

SQL & Data Warehousing / Business Intelligence skills

ETL/ data pipeline development experience

Build ETL/ELT pipelines, implement SCD Type 2 models

Data transformations, fact/ reference tables, Data Migration

Experience in delivering Data Warehousing/Business Intelligence solutions

Preferably experienced in multiple DW/BI aspects from ETL, Data Access Control, Data quality to Metadata management & data governance

Strong SQL skills in complex queries and data manipulation a must

Experience in developing ETL / building data pipelines with ETL tools or programming languages

Experience in Pentaho a plus

Python programming, shell scripting, java scripting experience a plus

Ability to prioritize own tasks and manage project resources and dates

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