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Data Pipeline Engineer Jobs (NOW HIRING)

Saviance

Data Pipeline Engineer

Boston, MA · Remote

$124.40K - $149.40K/yr

Data Pipeline Engineer Location: Remote (US / India / Global - based on project needs) Employment Type: Contract / Full-Time Industry: Healthcare, Life Sciences, Data & AI Experience: 5-10+ years ...

Kanak Elite Services Inc

Data Pipeline Engineer

Dallas, TX · On-site

$113.30K - $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 ...

Snowrelic Inc

Data Pipeline Engineer - W2

Dallas, TX · On-site

$113.30K - $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 ...

pocstock

Data Pipeline Engineer

Newark, NJ · On-site

$119.70K - $143.80K/yr

The Data Pipeline Engineer will manage systems for data intake, processing, and delivery, ensuring high data quality and reliability throughout the workflow. Responsibilities : • Build and maintain ...

Artech

Data Pipeline Engineer

Sunnyvale, CA · Hybrid

$136.20K - $163.60K/yr

This role involves building scalable data pipelines and developing full-stack data-driven applications. Required Skills & Qualifications * 6 years of software development experience in Data Modeling ...

Samprasoft

Data Pipeline Engineer/Analyst

Freeport, ME · On-site

Data Pipeline Engineer This position involves creating and managing a range of data pipeline operations on Google Cloud Platform, following established industry norms. The role includes the design ...

Clever Real Estate

Senior Data Pipeline Engineer

$200K - $240K/yr

Senior Data Pipeline Engineer Location: Remote [USA] Salary: $200-240k + Bonus About Clever Clever is a venture-backed real estate technology company on a mission to revolutionize the way people buy ...

42dot

$98.10K - $133.20K/yr

AI Data Pipeline Engineer At 42dot, our AI Data Pipeline Engineer architect and scale global data pipelines that ingest and process data from worldwide sources. You will design and operate high ...

Omega Solutions Inc

Data Pipeline Engineer

Belmont, CA · On-site

$138.50K - $166.30K/yr

Job Title Must have: Proven experience writing production quality software. Experience with Python and/or C++. Experience with ROS. Experience with different types of sensors. Experience with OpenCV ...

VDart

Data Integration & Pipeline Engineer

Dallas, TX · On-site

$113.70K - $136.60K/yr

Data Integration & Pipeline Engineer Location: Dallas, TX 75206 - 3 days onsite Duration: 6 CTH The Data Integration & Pipeline Engineer builds and maintains reliable, scalable data pipelines that ...

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How much do data pipeline engineer jobs pay per year?

As of May 28, 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 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.

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.
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Data Pipeline Engineer jobs near you
Infographic showing various Data Pipeline Engineer job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Pipeline Engineer

Data Pipeline Engineer

Saviance

Boston, MA • Remote

$124.40K - $149.40K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Pipeline Engineer
Location: Remote (US / India / Global - based on project needs)
Employment Type: Contract / Full-Time
Industry: Healthcare, Life Sciences, Data & AI
Experience: 5-10+ years (flexible based on strength)
About BigRio
BigRio is a trusted data, analytics, AI, and cloud consulting partner specializing in healthcare and life sciences. We help organizations modernize data platforms, build scalable pipelines, and unlock insights through cloud-native and AI-driven solutions. Our teams work on high-impact, real-world problems involving healthcare data, compliance, and advanced analytics.
Role Overview
We are seeking a Data Pipeline Engineer to design, build, and maintain scalable, reliable, and secure data pipelines supporting analytics, reporting, and AI/ML initiatives. This role focuses on ingesting, transforming, and delivering high-quality data across cloud platforms, with a strong emphasis on healthcare and regulated data environments.
Key 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
Required Qualifications
  • 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
Nice to Have
  • 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
Saviance logo

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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