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Databricks Data Engineer Jobs in Cary, NC (NOW HIRING)

Envestnet

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

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 ...

Envestnet, Inc.

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

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 ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

... Databricks. * Knowledge of data integration and transformation techniques. SQL and T-SQL ... Azure Data Engineer Associate, can further validate and enhance these skills. Qualifications:

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience in data focused solutions such as Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow ... Data engineering related certification from cloud platform like Azure/AWS/Cloudera, and * Customer ...

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience in data focused solutions such as Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow ... Data engineering related certification from cloud platform like Azure/AWS/Cloudera, and * Customer ...

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience in data focused solutions such as Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow ... Data engineering related certification from cloud platform like Azure/AWS/Cloudera, and * Customer ...

UnitedHealth Group

Principal Data Engineer

Raleigh, NC · Remote

$112K - $193K/yr

Partner with product, engineering, and business stakeholders to define metrics and enable data ... Experience working with Databricks Lakehouse architecture and distributed data processing platforms

UnitedHealth Group

Principal Data Engineer

Raleigh, NC · Remote

$112K - $193K/yr

Partner with product, engineering, and business stakeholders to define metrics and enable data ... Experience working with Databricks Lakehouse architecture and distributed data processing platforms

UnitedHealth Group

Principal Data Engineer

Raleigh, NC · On-site

$112K - $193K/yr

Partner with product, engineering, and business stakeholders to define metrics and enable data ... Experience working with Databricks Lakehouse architecture and distributed data processing platforms

Redhat

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Administer the enterprise Databricks platform by configuring IAM roles for secure Amazon S3 bucket ... functional data science and engineering teams. * Design and deploy intelligent retrieval ...

InterSources Inc

NC FAST Data Engineer

Durham, NC · On-site

$110K - $132K/yr

They are seeking a Senior Data Engineer to support the development and maintenance of the Child ... Databricks, Snowflake, Hadoop, or similar - 3 Years • Experience with DevOps and CI/CD (Git and ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Cary, NC

Databricks Data Engineer information

See Cary, NC salary details

$41.2K

$120.2K

$164.4K

How much do databricks data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for databricks data engineer in Cary, NC is $120,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Cary, NC?

The most popular types of Databricks Data Engineer jobs in Cary, NC are:

What are popular job titles related to Databricks Data Engineer jobs in Cary, NC?

For Databricks Data Engineer jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Cary, NC look for?

The top searched job categories for Databricks Data Engineer jobs in Cary, NC are:

What cities near Cary, NC are hiring for Databricks Data Engineer jobs?

Cities near Cary, NC with the most Databricks Data Engineer job openings:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Cary, NC as of September 2026, with employment types broken down into 75% Full Time, 4% Part Time, and 21% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,171 per year, or $57.8 per hour.

Lead Data Engineer

Raleigh, NC • On-site

Envestnet
See more jobs at Envestnetexternal

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 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 by over 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 to assist you 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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