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Data Engineering Jobs in Cary, NC (NOW HIRING)

Lead Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

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.

Data Engineer - Senior

Raleigh, NC ยท On-site

$111K - $133K/yr

Demonstrated mid-level+ experience in data engineering, with an emphasis on data quality assurance and ETL processes. * Expertise in Python, PyPI, and SQL * Demonstrate a strong understanding of ...

Data engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

Demonstrated mid-level+ experience in data engineering, with a emphasis on data quality assurance and ETL processes. * Expertise in Python, PyPI, and SQL * Expert analytical and problem-solving ...

Senior Data Engineer

Raleigh, NC ยท Remote

$103K - $140K/yr

Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team * Leverage AI-powered ...

Senior Data Engineer

Raleigh, NC ยท Remote

$103K - $140K/yr

Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team * Leverage AI-powered ...

Senior Data Engineer

Raleigh, NC ยท On-site

$103K - $140K/yr

Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team * Leverage AI-powered ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Azure Data Engineer 1-20-

Raleigh, NC ยท Remote

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering, along with expertise in cloud computing. This role offers an exciting opportunity to play a key role in modernizing our ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

Data Engineer

Chapel Hill, NC ยท On-site

$115K - $145K/yr

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 ...

Data Engineer //Local to NC

Raleigh, NC ยท On-site

$111K - $133K/yr

Demonstrated mid-level+ experience in data engineering, with a emphasis on data quality assurance and ETL processes.Expertise in Python, PyPI, and SQLExpert analytical and problem-solving skills.

Showing results 21-40

Data Engineering information

See Cary, NC salary details

$42.6K

$152.9K

$225.6K

How much do data engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineering in Cary, NC is $152,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,700.00 and $157,500.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Cary, NC? The most popular types of Data Engineering jobs in Cary, NC are:
What are popular job titles related to Data Engineering jobs in Cary, NC? For Data Engineering jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Cary, NC look for? The top searched job categories for Data Engineering jobs in Cary, NC are:
What cities near Cary, NC are hiring for Data Engineering jobs? Cities near Cary, NC with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Cary, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 9% Part Time, 5% Temporary, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $152,875 per year, or $73.5 per hour.

Lead Data Engineer

Envestnet

Raleigh, NC โ€ข On-site

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 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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