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Data Pipeline Jobs (NOW HIRING)

As the Data Manager, you'll own the pipeline from acquisition through preprocessing, lead the GEOSPI data operations team, and serve as the primary interface between the government and the contractor ...

As the Data Manager, you'll own the pipeline from acquisition through preprocessing, lead the GEOSPI data operations team, and serve as the primary interface between the government and the contractor ...

Data Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on Azure * Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

Data Engineer with Security Clearance

Reston, VA ยท On-site

$119K - $143K/yr

Monitor data pipeline performance and troubleshoot issues as needed * Collaborate with data analysts, data scientists, and software engineers to understand data needs * Ensure data quality, integrity ...

Data Engineer

Santa Clara, CA ยท On-site

$85K - $134K/yr

Construct and operate data pipelines: source connection, transformation logic, normalization rule implementation, DQ check configuration, and dashboard data feed maintenance; own the operational ...

Data Engineer

Santa Clara, CA ยท On-site

$85K - $134K/yr

Construct and operate data pipelines: source connection, transformation logic, normalization rule implementation, DQ check configuration, and dashboard data feed maintenance; own the operational ...

Data Engineer

Jackson, NJ ยท On-site

$116K - $140K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

Data Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

Data Engineer

Irving, TX ยท On-site

$110K - $133K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

Data Engineer

NJ ยท On-site

$116K - $140K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

Data Engineer, TS/SCI

Reston, VA

$119K - $143K/yr

S eeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and ...

Data Engineer, TS/SCI

Reston, VA

$119K - $143K/yr

S eeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and ...

Data Engineer, TS/SCI

Reston, VA ยท On-site

$119K - $143K/yr

S eeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME).You will work directly with government, technical, and industry stakeholders design, implement, and ...

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Data Pipeline information

See salary details

$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:
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.

Full-time

Posted 27 days ago


Job description

Experience in Synapase with pyspark
Knowledge of Big Data pipelinesData Engineering
Working Knowledge on MSBI stack on Azure
Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage
Handson in Visualization like PowerBI
Implement endend data pipelines using cosmosAzure Data factory
Should have good analytical thinking and Problem solving
Good communication and coordination skills
Able to work as Individual contributor
Requirement Analysis
CreateMaintain and Enhance Big Data Pipeline
Daily status reporting interacting with Leads
Version controlADOGIT CICD
Marketing Campaign experiences
Data Platform Product telemetry Analytical thinking
Data Validation of the new streams
Data quality check of the new streams
Monitoring of data pipeline created in Azure Data factory
updating the Tech spec and wiki page for each implementation of pipeline
Updating ADO on daily basis