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Data Analytics Engineer Jobs in Raleigh, NC (NOW HIRING)

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100.50K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

New

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100.50K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

New

Sr Data Analyst

Raleigh, NC · Hybrid

$89.99K - $143.09K/yr

Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

... Visual Analytics and Model Studio, is highly preferred. • Familiarity with Python, R, SQL, or other data programming languages. • Understanding of ethical AI, data privacy, and public sector ...

AI Engineer

Durham, NC · Hybrid

$110.50K - $132.80K/yr

AI Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Engineer to join our Data Analytics Practice and help advance ...

AI Engineer

Durham, NC · On-site

$110.50K - $132.80K/yr

AI Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Engineer to join our Data Analytics Practice and help advance ...

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Data Analytics Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data analytics engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for data analytics engineer in Raleigh, NC is $126,088.00, 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 are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Raleigh, NC? The most popular types of Data Analytics Engineer jobs in Raleigh, NC are:
What are popular job titles related to Data Analytics Engineer jobs in Raleigh, NC? For Data Analytics Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Raleigh, NC look for? The top searched job categories for Data Analytics Engineer jobs in Raleigh, NC are:
Infographic showing various Data Analytics Engineer job openings in Raleigh, NC as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,088 per year, or $60.6 per hour.

Lead Data Engineer

Envestnet

Raleigh, NC • On-site, Remote

$111.30K - $133.70K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Job description

Description

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   

  • Deliver end-to-end data and analytics capabilities, including data ingest, data transformation, data science, and data visualization in collaboration with Data and Analytics stakeholder groups. 
  • Design and deploy databases and data pipelines to support analytics projects.
  • Develop scalable and fault-tolerant workflows.
  • Clearly document issues, solutions, findings and recommendations to be shared internally & externally.
  • Learn and apply tools and technologies proficiently, including: 
  • Languages: SQL (standard and DB-specific), Python, Scala, Bash 
  • Frameworks: Hadoop, Spark, Kafka 
  • Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning 
  • Cloud Computing: AWS 
  • Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI 
  • Performance optimization for queries and dashboards.
  • Develop and deliver clear, compelling briefings to internal and external stakeholders on findings, recommendations, and solutions.
  • Analyze client data & systems to determine whether requirements can be met.
  • Test and validate data pipelines, transformations, datasets, reports, and dashboards built by team.
  • Develop and communicate solutions architectures and present solutions to both business and technical stakeholders.
  • Provide end user support to other data engineers and analysts.
  • Be a team leader and take lead role on functional teams or projects.
  • Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions. 
  • Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
  • Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested. 
  • As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.

What You’ll Need to Bring  

  • 8-12 years of relevant experience or equivalent combination of experience and education.
  • Expert experience in the following: 
  • SQL, Python, PySpark. Other programming languages (R, Scala, SAS, Java, etc.) are a plus.
  • Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI.
  • Knowledge of CI/CD and related tools such as Gitlab, AWS CodeCommit, etc.
  • AWS services including EMR, Glue, Athena, Batch, Lambda Cloudwatch, DynamoDB, EC2, Cloudformation, IAM and EDS.
  • 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.
  • Networking knowledge (OSI network layers, TCP/IP, virtualization).
  • 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 Solutions Architect / Developer / Data Analytics Specialty 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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