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Tableau Developer Jobs in Delaware (NOW HIRING)

$15.50 - $19.25/hr

Familiarity of Tableau, or another data visualization software. * Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all qualified applicants will receive ...

New

$14.75 - $18.50/hr

Familiarity of Tableau, or another data visualization software. * Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all qualified applicants will receive ...

New

$15.25 - $19.25/hr

Familiarity of Tableau, or another data visualization software. * Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all qualified applicants will receive ...

New

$14.75 - $18.50/hr

Familiarity of Tableau, or another data visualization software. * Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all qualified applicants will receive ...

$13.75 - $17.25/hr

Familiarity of Tableau, or another data visualization software. * Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all qualified applicants will receive ...

$15.25 - $19/hr

Familiarity of Tableau, or another data visualization software. * Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all qualified applicants will receive ...

New

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Tableau Developer information

See Delaware salary details

$10

$56

$77

How much do tableau developer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for tableau developer in Delaware is $56.29, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $66.39 per hour, depending on experience, location, and employer.

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 certifications. Entry-level roles may start lower, while experienced professionals with advanced skills in data visualization and SQL can earn higher salaries. Salaries also vary based on industry and company size.

Is Tableau need coding?

Tableau developers typically do not need extensive coding skills, as the platform offers a drag-and-drop interface for creating visualizations. However, knowledge of SQL and scripting languages like Python or R can enhance data manipulation and advanced analytics capabilities. Basic understanding of these tools can be beneficial but is not always mandatory for entry-level roles.

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. Organizations seek professionals skilled in Tableau, data analysis, and dashboard creation to support data-driven decision-making, leading to strong job growth and competitive salaries in this field.

What are Tableau Developers?

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.

Is Tableau still in demand?

Tableau Developer roles remain in demand as organizations seek data visualization and business intelligence skills to analyze complex data. Proficiency in Tableau, along with knowledge of SQL and data modeling, enhances job prospects in this field, which is valued across various industries for decision-making support.

What are the key skills and qualifications needed to thrive as a Tableau Developer, and why are they important?

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 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 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.

What are the most commonly searched types of Tableau Developer jobs in Delaware? The most popular types of Tableau Developer jobs in Delaware are:
What are popular job titles related to Tableau Developer jobs in Delaware? For Tableau Developer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Tableau Developer jobs in Delaware look for? The top searched job categories for Tableau Developer jobs in Delaware are:
What cities in Delaware are hiring for Tableau Developer jobs? Cities in Delaware with the most Tableau Developer job openings:
What are popular job titles related to Tableau Developer jobs in DE? For Tableau Developer jobs in DE, the most frequently searched job titles are:
Infographic showing various Tableau Developer job openings in Delaware as of July 2026, with employment types broken down into 85% Full Time, 5% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $117,080 per year, or $56.3 per hour.
Data Visualization Senior Associate

Data Visualization Senior Associate

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 9 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

Have an opportunity to help shape how a major Finance organization makes decisions - and grow your career while you do it. You will combine best-in-class business intelligence with applied artificial intelligence to deliver insights that reach senior leaders. You will help move the team beyond static dashboards toward natural-language, decision-ready experiences. This is a high-visibility, hands-on role for a technically strong contributor who wants to build durable solutions and develop their craft. It begins as an individual contributor position with room to take on increasing scope and technical ownership as the portfolio grows.

As a Data Visualization Sr Associate on the Finance Data & Insights team, you will help deliver executive-grade insights and artificial-intelligence-enabled experiences that help senior Finance leaders make faster, higher-confidence decisions. You will contribute across the full lifecycle of our visualization and conversational analytics products - from framing the problem and modeling the data to designing the experience, deploying it, and driving adoption. You will help build guided self-service and natural-language tools that let leaders explore performance drivers, scenarios, and risk-and-return trade-offs in plain language. You will partner closely with Finance, Product, Data Engineering, and platform teams to keep everything secure, compliant, and production-grade. Most importantly, you will help translate leadership questions into trusted data products and high-performing experiences. You will support the modernization of the team's analytics delivery, partnering across Finance, Product, Data Engineering, and platform teams to ensure solutions are secure, compliant, and production-grade. You will contribute hands-on to the technical translation from leadership questions into governed data products and performant experiences.

Job Responsibilities

  • Support the analytics product portfolio for Finance, including backlog, prioritization, and value delivery.
  • Design and deliver executive-grade dashboards and narratives in ThoughtSpot, Databricks, and Tableau, aligned to governed metrics and finance definitions.
  • Build artificial-intelligence-enabled conversational analytics using Databricks Genie and ThoughtSpot Spotter, including interaction design, evaluation, and monitoring.
  • Partner with Data Engineering to help ensure data quality, timeliness, lineage, and scalable architecture, validating semantic models and metric logic hands-on.
  • Implement controls suited to a regulated environment, including access controls, privacy-by-design, and alignment to model, data, and operational risk expectations.
  • Support adoption through enablement, training, documentation, and measurable usage tracking with clear leadership feedback loops.
  • Contribute to senior Finance forums, helping frame insights, drivers, and recommended actions concisely.
  • Follow technical and delivery standards and support analysts and visualization specialists through collaboration and review.

Required qualifications, capabilities, and skills:

  • Experience delivering data solutions and analytics for Finance stakeholders.
  • Demonstrated production delivery in Tableau and/or ThoughtSpot, including dashboard design and metric architecture.
  • Hands-on experience with the Databricks platform, including contributing to technical design discussions on semantic modeling and performance.
  • Advanced SQL skills and the ability to validate datasets and logic end-to-end.
  • Demonstrated ability to translate business questions into analytical products, including requirements definition and acceptance criteria.
  • Experience contributing to and maintaining a backlog based on stakeholder needs.
  • Experience applying quality standards and collaborating with analysts.
  • Demonstrated risk and control practices in a regulated environment, including data access governance and change management for reporting.

Preferred qualifications, capabilities, and skills:

  • Experience building conversational analytics or natural-language query experiences, including quality evaluation and guardrails.
  • Experience with Databricks Genie and/or ThoughtSpot Spotter to enable governed self-service.
  • Proficiency with Alteryx for workflow automation and repeatable data preparation.
  • Finance domain knowledge (profitability drivers, advisor metrics, client flows, assets under management, pricing/fees, and forecasting).
  • Experience supporting analytics governance, such as metric-definition standards, release management, and adoption measurement.
  • Familiarity with model risk management and artificial-intelligence governance in regulated environments.
  • Exposure to team collaboration or peer mentoring.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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