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Contract Data Pipeline Engineer Jobs in Raleigh, NC

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Data Engineer Reporting To: Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN ... You will be creating new services, interfaces, data pipelines and cloud infrastructure to support ...

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

... seeking a Data Engineer. The role involves designing and implementing scalable data architectures, developing complex data pipelines, and ensuring data governance and quality management.

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Applied Machine Learning Engineer

Durham, NC · On-site

$110K - $132K/yr

Design and own Vulcan's data architecture from operational data stores through ETL pipelines to the ... Apply sound engineering practices to everything you build: version control, testing, observability ...

Applied Machine Learning Engineer

Benson, NC · On-site

$93K - $111K/yr

Design and own Vulcan's data architecture from operational data stores through ETL pipelines to the ... Apply sound engineering practices to everything you build: version control, testing, observability ...

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for ... Develop and implement data pipelines, ETL processes, and data integration solutions to facilitate ...

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Optimize data pipeline performance and operational efficiency through monitoring, alert ... Contribute to engineering best practices through technical discussions, peer reviews, documentation ...

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

This role will involve building robust backend services, data integration pipelines, and user ... The ideal candidate is a hands-on data engineer with expertise in cloud-based data platforms, data ...

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Optimize data pipeline performance and operational efficiency through monitoring, alert ... Contribute to engineering best practices through technical discussions, peer reviews, documentation ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

Own critical pipelines and data models end to end, from design through production operation ... Partner with and advise systems engineers, lab operations, data scientists, and automation ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

Own critical pipelines and data models end to end, from design through production operation ... Partner with and advise systems engineers, lab operations, data scientists, and automation ...

Senior Data Engineer #4885

Durham, NC

$102K - $139K/yr

Own critical pipelines and data models end to end, from design through production operation ... Partner with and advise systems engineers, lab operations, data scientists, and automation ...

Data Engineering * Design, develop, and maintain ELT pipelines using AWS services, Apache Airflow, and Databricks. * Drive platform evolution by identifying opportunities for AI-powered automation ...

Showing results 41-60

Contract Data Pipeline Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do contract data pipeline engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contract data pipeline engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a contract data pipeline engineer?

Contract Data Pipeline Engineers are professionals hired on a temporary or project basis to design, build, and maintain systems that move and process large volumes of data. They develop data pipelines that extract data from various sources, transform it into usable formats, and load it into storage systems or databases. Their work ensures data is efficiently collected, processed, and made accessible for analysis or business operations. Contract roles typically require strong skills in programming, data architecture, and cloud technologies, and may focus on specific projects or timeframes rather than permanent employment.

What are some common challenges faced by contract data pipeline engineers when working with new clients or projects?

As a Contract Data Pipeline Engineer, one of the most common challenges is quickly understanding and adapting to the client's existing data infrastructure and business requirements. Each client may use different tools, data sources, and workflows, so it’s important to rapidly assess and integrate new technologies. Additionally, contract roles often have tight deadlines, requiring efficient communication with data engineers, analysts, and stakeholders to ensure deliverables meet expectations. Balancing the need for robust, scalable solutions with the constraints of a limited contract period is also a frequent consideration.

What are the key skills and qualifications needed to thrive as a contract data pipeline engineer, and why are they important?

To thrive as a Contract Data Pipeline Engineer, you need strong expertise in data engineering, ETL processes, and proficiency with programming languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Kafka, Airflow, and cloud platforms like AWS or GCP, as well as experience with SQL and big data technologies, is typically required. Excellent problem-solving skills, adaptability, and clear communication are vital soft skills for collaborating with diverse teams and responding to evolving project requirements. These skills and qualities are crucial for building reliable, scalable data pipelines that deliver accurate insights to drive business decisions.

What is the difference between Contract Data Pipeline Engineer vs Data Engineer?

AspectContract Data Pipeline EngineerData Engineer
CredentialsTypically requires a degree in computer science or related field, with experience in data pipeline toolsSimilar credentials, often with advanced certifications in data management or cloud platforms
Work EnvironmentContract roles, often project-based, working with teams on specific data pipeline tasksFull-time or contract, working within data teams on broader data infrastructure
Industry UsageUsed across industries for short-term data pipeline projectsCommon in tech, finance, healthcare, and other data-driven sectors
Search & Comparison IntentOften compared for project-based roles or freelance opportunitiesViewed for long-term data infrastructure roles

While both roles involve managing data pipelines, Contract Data Pipeline Engineers typically work on short-term, project-specific tasks, whereas Data Engineers focus on building and maintaining comprehensive data infrastructure for organizations. The choice depends on whether you seek contract work or a permanent data engineering position.

What are the most commonly searched types of Data Pipeline Engineer jobs in Raleigh, NC?

The most popular types of Data Pipeline Engineer jobs in Raleigh, NC are:

What are popular job titles related to Contract Data Pipeline Engineer jobs in Raleigh, NC?

For Contract Data Pipeline Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Contract Data Pipeline Engineer jobs in Raleigh, NC look for?

The top searched job categories for Contract Data Pipeline Engineer jobs in Raleigh, NC are:

Infographic showing various Contract Data Pipeline Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Data Engineer

Well

Chapel Hill, NC • On-site

$115K - $145K/yr

Full-time

Re-posted yesterday


Job description

Description
Company: The mission of Well (https://www.well.co/) is to transform healthcare through our unique impact on our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product - a consumer health engagement platform - integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: https://www.well.co/careers.
Position Title: Data Engineer
Reporting To: Manager, Data Engineering
Location: Chapel Hill, NC; Minneapolis, MN; Boston, MA (Newton); New York, NY; Remote in approved locations
Salary: This role can be hired for at either the Data Engineer 1 ($115,000-$135,000) or Data Engineer 2 ($125,000-$145,000), depending on qualifications, plus bonus potential and benefits
Position Summary:
Well is seeking an experienced and self-motivated data engineer to help build the next generation of our data pipelines and data tooling. You will be creating new services, interfaces, data pipelines and cloud infrastructure to support the transfer, ingestion, monitoring and integration of large amounts of data: thousands of files, millions of events, and billions of rows in our data lake. We are in the process of scaling our data infrastructure and driving mission critical AI features for our products. Come join us, it's a pivotal time to be at Well and you'll make a real difference.
Responsibilities:
  • Contribute to the design and implementation of a robust ETL process, managing file ingestion from external parties to AWS, GCP, and BigQuery with a focus on scalability and reliability.
  • Configure, maintain, and extend core data platform and internal data administration tools.
  • Monitor ETL processes with internal and external partners, and respond to events and/or data processing errors.
  • Collaborate with a team of experienced software engineers, DevOps engineers and data scientists to create and deliver a seamless, tailored experience for data team stakeholders.
  • Achieve operational excellence in software development by participating in and leading code reviews, quality assurance, and production monitoring
  • Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines

Requirements
  • Experience in delivery of software utilizing Node.js, Python, SQL, and Terraform
  • 3+ years of software development experience using cloud providers (AWS and/or GCP)
  • Good understanding of general engineering principles, trade-offs, and systems design
  • Robust coding abilities and demonstrated ability to resolve complex technical challenges
  • Experience with test driven development, an understanding of microservices and big data patterns with insight into choices and tradeoffs involved
  • Degree and/or background in a related field such as Computer Science, Engineering or a quantitative discipline with strong demonstrated practical experience
  • Willingness to learn new patterns, languages, technologies and methodologies, aligning both with our Engineering culture and continuously evolving technology environment
  • Experience working with healthcare data such as insurance claims, electronic health records, and wearables a plus