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Tableau Developer Remote Jobs in Powder Springs, GA

Sequoia Connect

Lead Analytics Engineer

Atlanta, GA · On-site +1

$98K - $129K/yr

Ability to build scalable, reusable dashboards and data models in QuickSight or Tableau while ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Sequoia Connect

Lead Analytics Engineer

Atlanta, GA · Remote

$104K - $138K/yr

Ability to build scalable, reusable dashboards and data models in QuickSight or Tableau while ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

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Tableau Developer Remote information

See Powder Springs, GA salary details

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$53

$73

How much do tableau developer remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for tableau developer remote in Powder Springs, GA is $53.26, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $62.84 per hour, depending on experience, location, and employer.

What does a remote Tableau developer do?

A remote Tableau Developer designs, develops, and maintains data visualization solutions using Tableau software while working from a remote location. Their responsibilities include connecting to various data sources, creating interactive dashboards and reports, and collaborating with stakeholders to translate business requirements into actionable insights. They also optimize data models, ensure data accuracy, and may provide support and training to end-users to help them make data-driven decisions.

How to become a remote Tableau developer?

The primary qualifications for becoming a remote Tableau developer are a bachelor's degree in a relevant field and several years of experience with Tableau products. This is a relatively senior position that requires extensive knowledge of the base Tableau software, so most people spend several years working in an office before they transfer to this remote role. Fulfilling the responsibilities and duties of this job requires communication, research, and programming skills as well as the ability to turn design goals into programming objectives. Tableau developers often work as part of a larger team, so teamwork skills are also essential to success.

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

To thrive as a Tableau Developer remotely, you need strong data analysis skills, expertise in Tableau Desktop and Server, and a background in computer science, statistics, or related fields. Familiarity with SQL, data warehousing solutions, and certifications like Tableau Desktop Specialist are often required. Excellent problem-solving abilities, self-motivation, and clear communication are vital soft skills for remote collaboration and project delivery. These skills ensure you can independently create effective data visualizations, meet client needs, and contribute to data-driven decision-making, even while working remotely.

What are some common challenges faced by remote Tableau developers, and how can they be addressed?

Remote Tableau Developers often encounter challenges such as limited direct communication with stakeholders and difficulties in understanding business requirements without face-to-face interactions. To overcome these, it's crucial to establish regular virtual meetings, use collaborative tools for feedback, and maintain clear documentation throughout the project. Building strong relationships with team members and proactively seeking clarification on project goals can also help ensure successful report development and data visualization delivery.

What is the difference between Tableau Developer Remote vs Data Analyst Remote?

AspectTableau Developer RemoteData Analyst Remote
Required SkillsProficiency in Tableau, SQL, data visualizationData analysis, Excel, SQL, visualization tools
CertificationsTableau Desktop Specialist, Certified Data AnalystMicrosoft Excel, SQL certifications
Work EnvironmentRemote, project-based, collaborative teamsRemote, cross-functional teams, reporting focus
Industry UsageIT, finance, marketing, consultingBusiness, finance, healthcare, marketing

Tableau Developer Remote and Data Analyst Remote roles often share skills like data visualization and SQL. However, Tableau Developers focus more on creating interactive dashboards and visualizations using Tableau, while Data Analysts perform broader data analysis, reporting, and insights. Both roles are commonly remote and industry-wide, but their core responsibilities differ in scope and tools used.

More about Tableau Developer Remote jobs

What cities near Powder Springs, GA are hiring for Tableau Developer Remote jobs?

Cities near Powder Springs, GA with the most Tableau Developer Remote job openings:

Tableau Developer Remote jobs near you
Infographic showing various Tableau Developer Remote job openings in Powder Springs, GA as of August 2026, with employment types broken down into 80% Full Time, 4% Part Time, 15% Contract, and 1% Nights. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $110,771 per year, or $53.3 per hour.

Analytics Engineering Manager

Sequoia Connect

Atlanta, GA • Remote

Full-time

Posted 11 days ago

Job description

Degree holders for the visa application process.At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Analytics Engineering Manager:

The Challenge (Responsibilities)

  • Define analytics strategy, KPI frameworks, and data product standards across teams.
  • Own the enterprise semantic/reporting layer strategy across QuickSight/Tableau and Redshift/Athena.
  • Partner with data engineering and architecture on domain models, data contracts, and self-serve analytics capabilities.
  • Establish and enforce data quality, documentation, and review processes; own escalation and resolution paths for analytics issues.
  • Lead and mentor analysts; manage capacity, prioritization, and quality across multiple workstreams.
  • Communicate insights and trade-offs to executives; drive decision-making with clear narratives and measurable outcomes.
  • Optimize cost and performance of analytical workloads; recommend storage/query patterns (e.g., Redshift vs. Athena vs. row-level caching).
  • Ensure compliance with data governance, privacy, and security standards; steward access policies in coordination with platform teams.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • Leadership of analytics programs and teams; proven stakeholder and executive communication.
  • Mastery of SQL and performance engineering on Redshift; deep Athena/S3 expertise (partitioning, Parquet/ORC, Glue cataloging).
  • Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes.
  • Advanced Python for analytics automation, reproducibility, and standards.
  • Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance.
  • Strong grounding in data quality frameworks, documentation practices, and analytics SDLC (versioning, review, release).
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Experience influencing data platform architecture decisions; familiarity with Redshift Spectrum, RA3 architecture, concurrency scaling.
  • Exposure to cost optimization and workload management at scale; capacity planning and SLA definition.
  • Good understanding of using AI tools like Github Copilot or similar for code productivity.
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • Our Client is a leading organization in the financial services sector.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Keywords:
Redshift, Athena, Python, QuickSight, Tableau
Requirements:
  • Leadership of analytics programs and teams; proven stakeholder and executive communication.
  • Mastery of SQL and performance engineering on Redshift; deep Athena/S3 expertise (partitioning, Parquet/ORC, Glue cataloging).
  • Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes.
  • Advanced Python for analytics automation, reproducibility, and standards.
  • Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance.
  • Strong grounding in data quality frameworks, documentation practices, and analytics SDLC (versioning, review, release).