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Data Pipeline Jobs (NOW HIRING)

Data Pipeline Engineer

$117K - $140K/yr

They are seeking a Data Pipeline Engineer to design, build, and maintain scalable data pipelines that support analytics, reporting, and AI/ML initiatives, with a focus on healthcare data environments.

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 ...

Data Pipeline Engineer

Redmond, WA · On-site

$113K - $187K/yr

In this role, you will design, develop, and operate data pipelines that ingest, transform, and deliver high-quality data across modern cloud environments. You will collaborate with data engineers ...

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 ...

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.

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

Data Pipeline Engineer (Junior - Mid) Location: Washington D.C. Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government ...

Senior Data Pipeline Engineer (Elastic)

Arlington, VA · On-site +1

$121K - $165K/yr

Senior Data Pipeline Engineer Location: Washington D.C. Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and ...

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

$200K

How much do data pipeline jobs pay per year?

As of Aug 10, 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 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.

Are data pipeline jobs in demand?

Data pipeline jobs are in high demand due to the increasing need for efficient data management and processing in organizations. Skills in tools like Apache Airflow, Spark, and cloud platforms enhance employability, and these roles often require knowledge of data engineering and scripting. The field is expected to grow as data-driven decision-making becomes more central to business operations.

What skills and qualifications are needed for a data pipeline?

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 does a data pipeline do?

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.

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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% 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.

$117K - $140K/yr

Full-time

Re-posted 12 days ago


Job description

Job Summary:
BigRio is a trusted data, analytics, AI, and cloud consulting partner specializing in healthcare and life sciences. They are seeking a Data Pipeline Engineer to design, build, and maintain scalable data pipelines that support analytics, reporting, and AI/ML initiatives, with a focus on healthcare data environments.
Responsibilities:
• Design, develop, and maintain end-to-end data pipelines (batch and streaming) for structured and unstructured data
• Build robust ETL / ELT workflows to ingest data from multiple sources including APIs, databases, files, and third-party systems
• Implement data transformations, validations, and quality checks to ensure accuracy and reliability
• Optimize pipeline performance, scalability, and cost efficiency
• Work closely with data analysts, BI engineers, data scientists, and product teams to support downstream analytics and AI use cases
• Ensure data pipelines comply with security, privacy, and HIPAA requirements where applicable
• Monitor pipelines, troubleshoot failures, and implement alerting and recovery mechanisms
• Contribute to data architecture decisions, documentation, and best practices
Qualifications:
Required:
• 5+ years of experience building and supporting data pipelines in production environments
• Strong experience with SQL and data modeling concepts
• Hands-on experience with ETL/ELT frameworks and orchestration tools
• Experience working with cloud platforms (Azure, AWS, or GCP)
• Proficiency with data processing tools such as Azure Data Factory, Databricks, Spark, Airflow, or similar
• Experience integrating data from APIs, flat files, relational databases, and cloud storage
• Strong understanding of data quality, lineage, and pipeline reliability
• Excellent problem-solving and communication skill
Preferred:
• Healthcare domain experience (provider, payer, clinical, claims, PHI data)
• Experience with streaming data (Kafka, Event Hub, Kinesis, etc.)
• Exposure to Snowflake, BigQuery, Redshift, or other cloud data warehouses
• Familiarity with Python or Scala for data processing
• Experience supporting BI tools (Power BI, Tableau, Looker)
• Knowledge of CI/CD, DevOps, and Infrastructure-as-Code
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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