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Data Science Visualization Jobs in Raleigh, NC (NOW HIRING)

Lead Data Engineer

Raleigh, NC ยท On-site +1

$111K - $133K/yr

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.

Lead Data Engineer

Raleigh, NC ยท On-site +1

$111K - $133K/yr

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.

Lead Data Engineer

Raleigh, NC ยท On-site +1

$111K - $133K/yr

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.

... visualization โ€ข Collaborate with business and data science teams to translate requirements into solutions โ€ข Optimize performance, cost, and scalability of data pipelines on cloud platforms โ€ข ...

... engineers, scientists, planners, designers, and technologists. At VHB, we collaborate with ... Experience with tools and software such as Databricks, SQL, and data visualization platforms such ...

Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related ... Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL ...

Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related ... Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL ...

Bachelors degree in Business, Computer Science, Data Science, Information Systems, or a related ... Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL ...

... in data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications 1. Master's degree or higher in Data Science, Analytics, or related discipline. 2. Experience with big data ...

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Data Science Visualization information

See Raleigh, NC salary details

$52.5K

$106.4K

$157K

How much do data science visualization jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data science visualization in Raleigh, NC is $106,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $119,600.00 per year, depending on experience, location, and employer.

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Raleigh, NC? For Data Science Visualization jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Raleigh, NC look for? The top searched job categories for Data Science Visualization jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Visualization jobs? Cities near Raleigh, NC with the most Data Science Visualization job openings:
Infographic showing various Data Science Visualization job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,395 per year, or $51.2 per hour.
Lead Data Engineer

Lead Data Engineer

Envestnet

Raleigh, NC โ€ข On-site, Remote

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Job description

Job Locationโ€ฏโ€ฏ 

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

About Envestnetโ€ฏ 

Envestnet is an adaptiveโ€ฏWealthTechโ€ฏcompany that isโ€ฏredefining the future of wealth management byโ€ฏhelpingโ€ฏadvisors meet the moment with its comprehensive technology, actionable insights, and industry leading support.โ€ฏBacked byโ€ฏoverโ€ฏ25 years of experience and approximatelyโ€ฏ$7.0 trillionโ€ฏin platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.โ€ฏโ€ฏ 

For a deeper look at how Envestnet is shaping the future of financial advice, visitโ€ฏwww.envestnet.com.โ€ฏโ€ฏ 

The Team Youโ€™ll Joinโ€ฏ 

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.

Howโ€ฏYouโ€™llโ€ฏContributeโ€ฏโ€ฏ 

  • 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.

Whatโ€ฏYouโ€™llโ€ฏNeed to Bringโ€ฏ 

  • 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-Havesโ€ฏ 

  • 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 Youโ€™ll Enjoy Working at Envestnetโ€ฏ 

Help shape the future of WealthTech. At Envestnet youโ€™ll gain hands-on experience and collaborate with some of the industryโ€™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 rewardsโ€”because your contributions should drive both business success and your own personal growth. If youโ€™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! โ€ฏ

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 Envestnetโ€™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.โ€ฏโ€ฏ

โ€ฏโ€ฏ 

Our Commitment to Inclusion & Belongingโ€ฏ 

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.โ€ฏโ€ฏ

 

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 atโ€ฏ careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary toโ€ฏassistโ€ฏyou with the recruiting process.โ€ฏโ€ฏโ€ฏโ€ฏโ€ฏ 

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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