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Freelance Data Pipeline Engineer Jobs in Raleigh, NC

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... pipeline solutions design and development, troubleshooting, and optimization tuning on the next generation data and analytics platform being developed with leading edge big data technologies in a ...

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

Designs and deploys scalable, fault-tolerant data pipelines and databases to support enterprise analytics and reporting needs. * Leverages modern data engineering and AI technologies, including ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows * Programming Languages: Strong proficiency in Python or ...

Openstack Java Developer

Raleigh, NC · On-site

$49.50 - $64.25/hr

OpenStack Developer role with strong focus on integrations and data pipelines. Team will work on integrating external tools and enterprise financial systems. Resource will lead data pipeline ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team ... This role is responsible for designing, developing, and maintaining data pipelines and enterprise ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team ... This role is responsible for designing, developing, and maintaining data pipelines and enterprise ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team ... This role is responsible for designing, developing, and maintaining data pipelines and enterprise ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team ... This role is responsible for designing, developing, and maintaining data pipelines and enterprise ...

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

This individual will contribute to the development and support of scalable data pipelines ... Follow established engineering standards, development practices, documentation requirements, and ...

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

This individual will contribute to the development and support of scalable data pipelines ... Follow established engineering standards, development practices, documentation requirements, and ...

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

This individual will contribute to the development and support of scalable data pipelines ... Follow established engineering standards, development practices, documentation requirements, and ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Orchestrate pipeline scheduling, dependency management, and automated failure recovery using Apache Airflow to deliver B2B marketing attribution and multi-touch targeting analytics. * Administer the ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Build and maintain production-grade ELT pipelines that integrate data from laboratory information systems (LIMS), ERP, CRM, APIs, sponsor systems, cloud applications, and other enterprise data ...

Data Engineer

Durham, NC

$110K - $132K/yr

Build and maintain production-grade ELT pipelines that integrate data from laboratory information systems (LIMS), ERP, CRM, APIs, sponsor systems, cloud applications, and other enterprise data ...

Lead Data Engineer

Raleigh, NC · On-site

$99K - $131K/yr

Designs and deploys scalable, fault-tolerant data pipelines and databases to support enterprise analytics and reporting needs. * Leverages modern data engineering and AI technologies, including ...

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 ...

Showing results 21-40

Freelance Data Pipeline Engineer information

See Raleigh, NC salary details

$14

$46

$128

How much do freelance data pipeline engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for freelance data pipeline engineer in Raleigh, NC is $46.38, according to ZipRecruiter salary data. Most workers in this role earn between $23.61 and $60.05 per hour, depending on experience, location, and employer.

What does a freelance data pipeline engineer do?

A Freelance Data Pipeline Engineer is responsible for designing, building, and maintaining systems that move and process data efficiently between different sources and destinations. They work on extracting data from various sources, transforming it into usable formats, and loading it into databases or data warehouses. As freelancers, they work independently or on contract for different clients, adapting to various data environments and project requirements. Their work ensures that businesses have access to accurate, timely, and well-structured data for analytics and decision-making.

What are some common challenges faced by freelance data pipeline engineers when working with multiple clients?

Freelance Data Pipeline Engineers often navigate the challenge of adapting to diverse data architectures, tools, and workflows across different clients. Each organization may use unique cloud platforms, data storage solutions, and security protocols, requiring quick learning and flexibility. Additionally, managing communication and expectations remotely, especially when stakeholders are in different time zones, can be demanding. Successfully balancing multiple projects also requires strong organizational skills and the ability to prioritize tasks effectively.

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

To thrive as a Freelance Data Pipeline Engineer, you need strong skills in data modeling, ETL development, 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 Airflow, Spark, SQL databases, and cloud platforms like AWS or Google Cloud, along with relevant certifications, is often required. Excellent problem-solving, communication, and project management skills set outstanding freelancers apart in client-facing environments. These competencies ensure robust, scalable data pipelines that deliver reliable insights and meet diverse client requirements.

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 Freelance Data Pipeline Engineer jobs in Raleigh, NC?

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

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

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

What cities near Raleigh, NC are hiring for Freelance Data Pipeline Engineer jobs?

Cities near Raleigh, NC with the most Freelance Data Pipeline Engineer job openings:

Infographic showing various Freelance Data Pipeline Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 5% As Needed, 66% Full Time, 24% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,460 per year, or $46.4 per hour.

Lead Data Engineer

Envestnet

Raleigh, NC • On-site

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

The application window will close September 01, 2026. 

Job Location   

The primary work location for this role is Raleigh, NC with a hybrid work model.   

About Envestnet  

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed byover 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.   

The Team You’ll Join  

The Lead Data Engineer will play a critical implementation role on the Data Engineering and Data Services team and be responsible for data pipeline solutions design and development, troubleshooting, and optimization tuning on the next generation data and analytics platform being developed with leading edge big data technologies in a highly secure cloud infrastructure. The Data Engineer will serve as a liaison to platform user groups ensuring successful implementation of capabilities on the new platform. The Lead Data Engineer will also take a lead role on functional teams or projects.

How You’ll Contribute   

Designs, constructs, installs, tests and maintains highly scalable data management systems that meet business requirements and industry practices. Individuals in this family develop data sets for data modeling, mining and production and integrate new data management technologies and tools into existing structures and processes and answer impactful business questions.
•    Applies advanced knowledge of Data Engineering principles, methodologies and techniques to design and implement data loading and aggregation frameworks across broad areas of the corporation.
•    Gathers and processes raw, structured, semi-structured and unstructured data using batch and real-time data processing frameworks.
•    Implements and optimizes data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
•    Understands and enforces appropriate data master management techniques.
•    Leads the implementation of tools and frameworks for automating the identification of data quality issues.
•    Understands the challenges that the Technology organization faces in their day-to-day work, and partners with them to design viable data solutions.
•    Works with stakeholders to understand and solve real world problems.
•    Provides subject matter expertise and guidance for internal and external customers.
•    Estimates data engineering tasks to within predictable variances, given specified functional and business requirements.
•    Plays a lead role in planning, providing advice and guidance, mentoring less experienced engineers, and monitoring emerging technologies.
•    Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.
•    Delivers end-to-end data and analytics solutions, including data ingestion, transformation, analytics, and visualization capabilities in partnership with Data & Analytics stakeholders.
•    Designs and deploys scalable, fault-tolerant data pipelines and databases to support enterprise analytics and reporting needs.
•    Leverages modern data engineering and AI technologies, including Python, Spark, Kafka, AWS, and Generative AI frameworks (RAG, embeddings, agents, and LLMs) to develop innovative data solutions.
•    Develops and communicates solution architectures, findings, and recommendations to both technical and business stakeholders, ensuring alignment and successful adoption.

What You’ll Need to Bring  

  • Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences.
  • Expert experience in the following:
    • Languages: SQL (standard and DB-specific), Python, Scala, Bash
    • Framework: Apache Iceberg / Lakehouse, Spark, Kafka
    • Data Platform: Snowflake or Databricks
    • Tools/Products: dbt, Airflow, replication tools, semantic layer tools
    • Gen AI: Agents, Skills, Memory, Context Engineering, Prompt Engineering, AI First Development
    • Cloud Computing: AWS or similar including EMR, Glue, Athena, Batch, Lambda, DynamoDB, EC2, IAM. 
    • Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI. 
    • Knowledge of CI/CD, Terraform 
  • Solid scripting skills (e.g., bash/shell scripts, Python). 
  • Proven work experience in the following: 
    • Data streaming technologies. 
  • Using LLMs, creating RAG, choosing vector vs graph db for embedding, etc. 
  • Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc. 
  • Linux command-line operations. 
  • Candidate should be able to lead the team, communicate with business, gather and interpret business requirements. 
  • Experience with agile delivery methodologies using Jira or similar tools.
  • Experience working with remote teams.

Nice-to-Haves  

•    AWS / Claude / Snowflake data certifications, Professional certification is a plus.
•    Bachelor Degree in Computer Science or relevant field, Masters Degree is a plus.

Why You’ll Enjoy Working at Envestnet  

Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference. 

We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.  

The opportunity is now!  

Sponsorship  

This position is not open to candidates requiring visa sponsorship  

Our Investment in You 

At Envestnet, our total rewards philosophy is designed to attract, motivate, and grow exceptional talent. We offer competitive, market-aligned compensation complemented with performance-linked incentives and rewards programs that recognize and reward impact.  

 

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.  Please visit our benefits page on our career site to learn more.  

  

Our Commitment to Inclusion & Belonging  

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.  

 

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary toassistyou with the recruiting process.      

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

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