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Tableau Developer Jobs in Springfield, IL (NOW HIRING)

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Handle SCD (Type 1/2), CDC, and complex transformation logic Platform & DevOps * Build CI/CD pipelines using Azure DevOps (YAML, Terraform/Bicep) * Implement monitoring, logging, and alerting (Azure ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

... & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments. * Instrument pipelines with robust logging, auditing ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

... & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments. * Instrument pipelines with robust logging, auditing ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

... & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments. * Instrument pipelines with robust logging, auditing ...

Bespoke Labs

Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Tableau Developer information

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How much do tableau developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for tableau developer in Springfield, IL is $55.74, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $65.77 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.

More about Tableau Developer jobs
What cities near Springfield, IL are hiring for Tableau Developer jobs? Cities near Springfield, IL with the most Tableau Developer job openings:
Tableau Developer jobs near you
Infographic showing various Tableau Developer job openings in Springfield, IL as of July 2026, with employment types broken down into 81% Full Time, 9% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $115,939 per year, or $55.7 per hour.

ETL Data Engineer

MSR Technology Group

Springfield, IL • Remote

$113K - $136K/yr

Full-time

Re-posted 23 days ago

Job description

Senior Data Engineer – Azure / Python ETL Modernization
Remote (U.S.) with Minimal travel (2–3x per year)
Overview
We’re hiring a Senior Data Engineer to lead enterprise ETL modernization initiatives, transitioning legacy data pipelines (e.g., Informatica, on-prem data warehouses) into modern Azure-based, Python-driven data platforms.
This is a hands-on engineering role focused on building scalable data pipelines, refactoring legacy logic into Python/PySpark, and delivering production-grade data solutions that support analytics, reporting, and downstream data use cases.
The right candidate will have a strong background in Python-based data engineering, Azure data services, and experience modernizing legacy ETL environments.
Core Responsibilities
ETL Modernization (Primary Focus)
  • Refactor and migrate legacy ETL pipelines (e.g., Informatica) into Python/PySpark-based pipelines
  • Translate business logic into scalable, code-driven transformations (not tool-based ETL)
  • Support large-scale migration from on-prem data warehouses to Azure
Data Pipeline Engineering
  • Build and maintain pipelines using Azure Data Factory, Synapse Pipelines, and/or Databricks
  • Develop reusable, parameter-driven frameworks for ingestion and transformation
  • Implement ELT patterns leveraging SQL pushdown and distributed processing
Python & Spark Development
  • Develop and optimize PySpark jobs for large-scale data processing
  • Write clean, testable Python code for transformation, orchestration, and data quality
  • Integrate with APIs and external data sources
Data Architecture & Modeling
  • Implement lakehouse architecture (ADLS Gen2, Delta Lake, Parquet)
  • Design dimensional models (star/snowflake) for analytics use
  • Handle SCD (Type 1/2), CDC, and complex transformation logic
Platform & DevOps
  • Build CI/CD pipelines using Azure DevOps (YAML, Terraform/Bicep)
  • Implement monitoring, logging, and alerting (Azure Monitor, Log Analytics)
  • Ensure security and access controls (RBAC, Key Vault, networking)
Required Skills
  • Strong hands-on experience with Python for data engineering (non-negotiable)
  • Solid experience with PySpark / Spark-based processing frameworks
  • Experience with Azure Data Factory, Synapse, or Databricks
  • Advanced SQL (complex transformations, optimization, performance tuning)
  • Experience working with modern data lakes (ADLS Gen2, Delta Lake)
  • Experience with ETL modernization or legacy system migration
  • Familiarity with CI/CD and DevOps practices in data engineering
Preferred Experience
  • Background migrating Informatica or similar ETL tools into Python-based frameworks
  • Experience with large enterprise data warehouse environments (Teradata, SQL Server, Oracle)
  • Exposure to regulated environments (healthcare, financial, etc.)
  • Snowflake experience is a plus
Why This Role Is Different
  • Focus on real modernization work, not legacy ETL maintenance
  • Heavy emphasis on Python-first data engineering
  • Opportunity to influence architecture and engineering standards
  • Long-term, high-impact enterprise data platform