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Weekend Tableau Developer Jobs in Chicago, IL (NOW HIRING)

Steame LLC

Data Analytics Engineer - Chicago

Chicago, IL · On-site

$120K - $130K/yr

The Role As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics ... Create and manage dashboards and reports in BI tools (e.g., Tableau, Looker, Power BI) for internal ...

Brillio Inc

Data Analyst

Rosemont, IL

... engineered software solutions. Our 2,500 odd employees serve more than 350 global clients, a ... Qualifications Experience with Tableau is must Expertise in RDBMS concepts, PLSQLTSQL, Joins ...

1 point system

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Tableau, Alteryx, and machine learning platforms Design and implement data access controls ... experience in data engineering, data platforms, or related roles Hands-on experience with ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Tableau, Alteryx, and machine learning platforms Design and implement data access controls ... experience in data engineering, data platforms, or related roles Hands-on experience with ...

Brillio Inc

Data Analyst

Rosemont, IL · On-site

... engineered software solutions. Our 2,500 odd employees serve more than 350 global clients, a ... Qualifications • Experience with Tableau is must Expertise in RDBMS concepts, PLSQLTSQL, Joins ...

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Tableau, Cognos, ThoughtSpot, etc is a plus. • Experience in one of the scripting languages ... Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or ...

Loop

Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

As an Analytics Engineer, you will design and maintain core data models and infrastructures ... g., Tableau, Looker, Superset, Mode). • Ability to manage, optimize, and scale data ...

Sidley

Senior Data Engineer - Quality

Chicago, IL · Hybrid

$100K - $150K/yr

... Tableau. * Design and implement scalable end-to-end testing frameworks for data pipelines ... Integrate testing into CI/CD pipelines (Azure DevOps, GitHub Actions) * Collaborate with data ...

IT Labs

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Familiarity with Tableau. * Understanding of HIPAA and HITRUST data handling practices.

Medline

Sr. Azure Data Engineer

Northbrook, IL · On-site

$116K - $139K/yr

They are seeking a Senior Azure Data Engineer to leverage their expertise in data modeling and ETL ... BI / Tableau for reporting and data visualization. • Excellent problem-solving skills and ...

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

The ideal candidate will work closely with business stakeholders, data engineers, and application ... Experience with BI tools such as Power BI, Tableau, or Looker. * Familiarity with data governance ...

Contact Government Services, LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Tableau or PowerBI. -Experience in developing Shell scripts on Linux. -Demonstrated experience ...

Moffitt

BUSINESS INTELLIGENCE DEV II

Chicago, IL · On-site

The Business Intelligence Developer II role is under the work stream Business Intelligence and ... Tableau, or similar tools. Demonstrated ability and willingness to learn and apply emerging ...

Resource Innovations

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

Create, interpret, and maintain complex SQL queries in Redshift or Tableau * Experience working with programming languages such as Python or NodeJS * Interest in sustainability and passionate about ...

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Weekend Tableau Developer information

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How much do weekend tableau developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for weekend tableau developer in Chicago, IL is $57.98, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $68.41 per hour, depending on experience, location, and employer.

What is a Weekend Tableau Developer job?

A Weekend Tableau Developer is a professional who works primarily on weekends to design, develop, and optimize Tableau dashboards and reports. This role is often part-time or contract-based and suits companies needing data visualization support outside regular business hours. Responsibilities include data analysis, dashboard creation, performance tuning, and collaboration with stakeholders to ensure insights are effectively communicated. It is ideal for freelancers, consultants, or those seeking additional work alongside a full-time job.

What does a typical weekend workflow look like for a Weekend Tableau Developer?

As a Weekend Tableau Developer, your workflow often involves preparing data sources, building or updating dashboards, and responding to ad hoc analysis requests within a compressed timeframe. You may receive prioritized tasks before the weekend and focus on delivering actionable insights by collaborating virtually with business stakeholders or other data team members. Communication is key, as updates and project hand-offs typically occur remotely. This role is well-suited for individuals who are organized, comfortable working independently, and capable of producing reliable results under time constraints.

Does JP Morgan use Tableau?

JP Morgan widely uses Tableau for data visualization and business intelligence purposes. As a Tableau Developer at JP Morgan, proficiency in Tableau is often required to create dashboards and analyze financial data efficiently.

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 earn higher salaries, especially with certifications and extensive project experience.

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. Skills in Tableau, data analysis, and SQL can improve job prospects, especially in organizations prioritizing data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Weekend Tableau Developer position, and why are they important?

To thrive as a Weekend Tableau Developer, you need strong proficiency in data visualization, SQL, and analytical problem-solving, typically supported by a degree in computer science, information systems, or a related field. Experience with Tableau Desktop, Tableau Server, and certifications like Tableau Desktop Specialist are often expected. Strong time-management, communication, and self-motivation are valuable soft skills, especially when collaborating remotely or working independently on tight weekend deadlines. These skills ensure effective, high-quality data solutions that support business needs within limited project timeframes.

Is Tableau still in demand?

Tableau remains a highly sought-after skill for data visualization and business intelligence roles, including Tableau developers. The demand is driven by organizations seeking to analyze data efficiently, and proficiency with Tableau, along with related skills like SQL, is often required. The job market for Tableau professionals is expected to stay strong as data-driven decision-making continues to grow.
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Weekend Tableau Developer jobs near you

Data Analytics Engineer - Chicago

Steame LLC

Chicago, IL • On-site

$120K - $130K/yr

Full-time

Re-posted 18 days ago

Job description

Who We Are
STEAMe is a workforce technology company turning fragmented systems into engines of economic advancement. Our roots in NowPow-a nationally recognized social care referral platform that connected 13 million people to vital care services-taught us how to deliver multi-sided platforms that power complex ecosystems. We channel that expertise into STEAMe, with purpose-built workforce solutions that close data and process gaps, connect stakeholders, and accelerate job placement and prosperity at scale.The Role
As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics, data engineering, and emerging AI-powered workflows. You'll be responsible for building reliable data pipelines, transforming data for analysis, and delivering high-quality dashboards and reports that drive product, operational, and customer insights.
Working closely with product, engineering, customer success, and business stakeholders, you'll own data transformations, support analytics architecture, and help evolve how STEAMe uses data - including experimenting with LLM-assisted analysis and prompt-based workflows to surface insights more efficiently.
This is an excellent opportunity for someone who enjoys working across the full data lifecycle - from ingestion and modeling to visualization and insight delivery, - in a fast-paced startup environment.Key Responsibilities
  • Partner with cross-functional teams to understand business objectives and translate them into scalable data models, metrics, and analytics solutions
  • Design, build, and maintain data transformations and lightweight ETL pipelines using SQL and Python
  • Develop and maintain curated analytics tables and semantic layers to support reporting and dashboards
  • Create and manage dashboards and reports in BI tools (e.g., Tableau, Looker, Power BI) for internal teams and external partners
  • Ensure data accuracy, consistency, and reliability across analytics outputs
  • Support and evolve data architecture by collaborating with engineering on source systems, data flows, and integrations
  • Write Python scripts for data preparation, automation, and analytics workflows
  • Experiment with and develop LLM-enabled workflows, including prompt design, to extract insights, summarize data, or support internal analytics use cases
  • Experiment with AI tools to deliver new methodologies and optimize workflows
  • Document data models, pipelines, metrics definitions, and analytics best practices
  • Troubleshoot data quality issues and proactively identify opportunities to improve data processes and performance
Requirements
  • Bachelor's degree in Analytics, Computer Science, Engineering, Statistics, Economics, Mathematics, or a related field (or equivalent experience)
  • 3-6 years of experience in analytics, analytics engineering, or a data engineering-adjacent role
  • Strong proficiency in SQL and Python
  • Experience building and maintaining data pipelines, transformations, or ETL processes
  • Hands-on experience with BI and visualization tools (e.g., Tableau, Looker, Power BI)
  • Solid understanding of data modeling concepts and analytics best practices
  • Ability to communicate clearly with both technical and non-technical stakeholders
  • Comfortable working in a fast-moving startup environment with evolving requirements

Preferred Qualifications
  • Experience with cloud data platforms (e.g., AWS, GCP, or Azure)
  • Familiarity with modern analytics stacks (e.g., dbt or similar transformation tools)
  • Experience working with SaaS platforms or in edtech / workforce development environments
  • Exposure to data orchestration tools and APIs
  • Experience using or designing LLM-powered analytics workflows or prompt-based tools

Environmental Job Requirements & Working Conditions
  • This position is based in Chicago, IL
  • STEAMe is a Hybrid work environment, with 3 days work from home and 2 days in-office work
  • The pay range for this role is: $120,000 - 130,000. This salary range represents our target hiring range. Final compensation will be determined based on a variety of factors, including experience, skill set, and alignment to the role's scope and level.
Please note: This position is not eligible for current or future employment sponsorship.
STEAMe is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics.

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