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Data Pipeline Jobs (NOW HIRING)

Qode

QA Lead - Data & Pipeline Quality

Austin, TX · On-site

QA Lead -- Data & Pipeline Quality Employment Type: Full-Time Location: Austin, TX About Incedo Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New ...

Qode

QA Lead - Data & Pipeline Quality

Austin, TX · On-site

QA Lead - Data & Pipeline Quality Employment Type: Full-Time Location: Austin, TX About Incedo Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New ...

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

$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 ...

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$24K

$123.1K

$200K

How much do data pipeline jobs pay per year?

As of Jul 21, 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 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 engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in building large-scale data pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires strong technical certifications, leadership roles, and a track record of managing complex data infrastructure.

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 pipeline roles often involve working with tools such as Apache Airflow, SQL, and cloud platforms to ensure data flows efficiently and accurately for analysis and reporting.

How to get hired on the pipeline?

To get hired as a data pipeline professional, candidates should have strong skills in data engineering, familiarity with tools like Apache Airflow, Spark, or Kafka, and experience with cloud platforms such as AWS or Azure. Relevant certifications and a solid understanding of data architecture can improve job prospects. Building a portfolio of projects and demonstrating problem-solving abilities are also beneficial.

Can I make 200K as a Data Engineer?

Data Engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,131 per year, or $59.2 per hour.

Machine Learning Engineer - Data Pipeline

Articul8

Dublin, CA • On-site

$128K - $154K/yr

Full-time

Re-posted 4 days ago

Job description

About us:
At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.
Job Description:
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis. You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end. You will work closely with other researchers and engineers to empower our next generation of domain-specific models. We value rapid prototyping, iterating, and shipping new systems quickly.
Required Qualifications:
  • BS/MS/PhD in Computer Science or a related field.
  • Proficiency in at least one deep learning framework, such as PyTorch.
  • Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem.
  • Strong expertise in large stateful distributed systems and data processing.
  • Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes).
  • Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.
  • Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality.

Key Competencies
  • Active Github contributions are a big plus.
  • Experience in building large-scale datasets.
  • Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch).
  • Building bespoke data processing libraries from scratch.
  • Keeping up with state-of-the-art techniques for preparing AI training data.
  • Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
  • Multilingual which contributes to enriching the language diversity crucial for robust model training.

Responsibilities:
  • Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc.
  • Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc.
  • Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing.
  • Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability.
  • Develop and deploy highly scalable distributed systems capable of handling terrabytes of data.
  • Architect and implement algorithms for data indexing and search capabilities.
  • Build and maintain backend services for data storage, including work with key-value databases and synchronization.
  • Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.

By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.
Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.
If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

Apply