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Tableau Developer Jobs in Cary, NC (NOW HIRING)

Experience with CI/CD, Git, DevOps, and automated workflow orchestration. * Demonstrated knowledge ... Experience with BI tools (Tableau, Power BI, Qlik). Why Should I Apply? This role offers the ...

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... Experience with data analysis and visualization tools (e.g., Excel, SQL, Python, Tableau, Power BI)

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... Experience with data analysis and visualization tools (e.g., Excel, SQL, Python, Tableau, Power BI)

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... Experience with data analysis and visualization tools (e.g., Excel, SQL, Python, Tableau, Power BI)

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... Experience with data analysis and visualization tools (e.g., Excel, SQL, Python, Tableau, Power BI)

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... Experience with data analysis and visualization tools (e.g., Excel, SQL, Python, Tableau, Power BI)

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... Experience with data analysis and visualization tools (e.g., Excel, SQL, Python, Tableau, Power BI)

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Tableau Developer information

See Cary, NC salary details

$10

$52

$72

How much do tableau developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for tableau developer in Cary, NC is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $61.44 per hour, depending on experience, location, and employer.

What is a Tableau developer?

Tableau Developers are professionals who specialize in creating, managing, and optimizing data visualizations using Tableau software. They work with data sources to design interactive dashboards and reports that help organizations analyze and interpret complex data. Tableau Developers often collaborate with business stakeholders to understand reporting needs and ensure that data insights are accessible, actionable, and visually compelling.

What does a Tableau developer do?

Tableau software collects and translates large amounts of data into easy-to-read, interactive platforms. These platforms enable businesses to analyze and interpret results from various aspects of their company. Tableau developers are specialized programmers who create tailored reports that assist companies in meeting their goals. These programmers understand the importance of the ETL (extract, transform, load) process of transferring data from the primary source to a new location and know how to organize and use that data in productive ways.

What are the key skills and qualifications needed to thrive as a Tableau developer?

To thrive as a Tableau Developer, you need strong skills in data analysis, visualization, and proficiency with SQL, often supported by a degree in computer science, information systems, or a related field. Familiarity with Tableau Desktop, Tableau Server, and certification such as Tableau Desktop Specialist are commonly required, along with experience in data warehousing and ETL processes. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate business requirements into actionable, insightful dashboards. These skills ensure the delivery of meaningful, accurate visualizations that drive data-informed decision-making in organizations.

What are some common challenges Tableau developers face when working with large datasets, and how can they address them?

Tableau Developers often encounter performance issues when visualizing large datasets, such as slow dashboard loading times and laggy interactivity. To address these challenges, developers can optimize data extracts, use efficient calculations, and limit the number of visualizations on a single dashboard. Collaborating closely with data engineers to ensure proper data modeling and leveraging Tableau's built-in performance optimization tools are also key strategies. Staying proactive about these challenges helps deliver fast, interactive, and insightful dashboards to stakeholders.

What is the difference between Tableau Developer vs Data Analyst?

AspectTableau DeveloperData Analyst
Primary FocusDesigning and developing Tableau dashboards and visualizationsAnalyzing data sets to identify trends and insights
Skills & CertificationsProficiency in Tableau, SQL, data modeling, and visualization toolsStrong Excel, SQL, statistical analysis, and data interpretation skills
Work EnvironmentOften part of BI or data teams, working closely with developers and business usersCollaborates across departments to interpret data and support decision-making
Industry UsageCommon in finance, healthcare, retail, and tech sectorsWidely used across industries for data-driven insights

While both roles involve working with data, Tableau Developers focus on creating visual dashboards using Tableau, whereas Data Analysts analyze data to generate insights. The roles often overlap, but their core responsibilities differ in emphasis on visualization versus analysis.

Are Tableau Developers in demand?

Tableau Developers are in high demand due to the increasing need for data visualization and business intelligence solutions across industries. Employers seek professionals skilled in Tableau, data analysis, and dashboard creation to support data-driven decision-making. The role often requires familiarity with SQL, data modeling, and certifications to enhance job prospects.

How much do Tableau Developers make?

Tableau Developers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and industry. Senior roles or those with advanced skills in data visualization and SQL can command higher salaries, especially with certifications and extensive project experience.

What are the most commonly searched types of Tableau Developer jobs in Cary, NC?

The most popular types of Tableau Developer jobs in Cary, NC are:

What are popular job titles related to Tableau Developer jobs in Cary, NC?

For Tableau Developer jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Tableau Developer jobs in Cary, NC look for?

The top searched job categories for Tableau Developer jobs in Cary, NC are:

What cities near Cary, NC are hiring for Tableau Developer jobs?

Cities near Cary, NC with the most Tableau Developer job openings:

Infographic showing various Tableau Developer job openings in Cary, NC as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $108,372 per year, or $52.1 per hour.

Data Engineer (Databricks, AWS)

CEI

Raleigh, NC

$70/hr

Full-time, Contractor

Posted 13 days ago


Job description

Title: Data Engineer (onsite)
Location: Raleigh, NC
Contract: W2 only, 12-month contract with potential for extension or conversion to full time with the client.
Pay: $70/hour + optional medical, dental, vision, 401(k) matchOverview

The Data Engineer will be responsible for designing, developing, and optimizing large-scale data pipelines and analytical solutions supporting Life Sciences Commercial Operations. This role requires deep expertise in Databricks (including Genie), AWS cloud services, and PySpark, with strong domain knowledge of pharmaceutical/biotech commercial datasets such as IQVIA, Symphony, DDD, NPA, Xponent, Claims, Specialty Pharmacy, and CRM/Sales data. The candidate will partner closely with Commercial Analytics, Data Science, and Business Stakeholders to deliver high-quality, scalable data products that enable sales insights, targeting, forecasting, incentive compensation, and field performance reporting.

Key Responsibilities
  • Build, optimize, and maintain data pipelines using Databricks, Delta Lake, and Genie-powered workflows.
  • Implement LLM-based automation and query generation using Databricks Genie for data exploration and business-user self-service.
  • Develop notebooks, jobs, workflows, and ML-ready datasets within the Databricks environment.
  • Design and manage data ingestion, storage, and processing using AWS services such as S3, Glue, Lambda, EMR, Redshift, and Athena.
  • Implement secure, scalable architectures following AWS best practices (IAM, VPC, encryption, monitoring).
  • Build distributed data transformation pipelines using PySpark for high-volume commercial datasets.
  • Optimize PySpark jobs for performance, cost efficiency, and reliability.
  • Implement unit testing, CI/CD, and code versioning using Git-based workflows.
  • Ingest, harmonize, and model datasets including IQVIA (Xponent, DDD, NPA, LAAD, NSP), Claims (medical, pharmacy), Specialty Pharmacy data feeds, Sales & CRM (Veeva, Salesforce), Roster, Territory, and Alignment datasets.
  • Build commercial data marts supporting sales reporting and dashboards, targeting and segmentation, incentive compensation, forecasting, and field performance insights.
  • Work with Commercial Analytics, Data Science, IT, and Business teams to translate requirements into scalable data solutions.
  • Ensure data quality, lineage, governance, and compliance with industry standards (HIPAA, GxP, SOC2).
Required Skills
  • 5–10+ years of experience in Data Engineering or Big Data Analytics.
  • Strong hands-on experience with Databricks, Genie, Delta Lake, and MLflow.
  • Advanced proficiency in PySpark, Python, SQL, and distributed computing.
  • Deep experience with AWS (S3, Glue, Lambda, EMR, Redshift, IAM).
  • Proven experience working with Life Sciences Commercial datasets.
  • Strong understanding of data modeling, ETL/ELT, and cloud architecture.
  • Experience with CI/CD, Git, DevOps, and automated workflow orchestration.
  • Demonstrated knowledge of ingesting, harmonizing, and modeling pharmaceutical/biotech datasets.
  • Ability to build scalable, high-performance data pipelines.
  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Ability to work in fast-paced, cross-functional environments with high attention to data accuracy.
Required Education
  • No Education Requirements
Preferred Skills
  • Experience with Databricks Unity Catalog and Lakehouse architecture.
  • Familiarity with LLM-based automation or AI-assisted analytics.
  • Experience supporting Commercial Operations, Sales Leadership, and Field Teams.
  • Knowledge of incentive compensation methodologies and targeting algorithms.
  • Experience with BI tools (Tableau, Power BI, Qlik).
Why Should I Apply?

This role offers the opportunity to work on cutting-edge data solutions supporting Life Sciences Commercial Operations, with significant impact on sales insights and forecasting. Join a dynamic team leveraging advanced cloud and big data technologies to transform pharmaceutical data analytics.


About CEI:
As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.

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