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Remote Python Sql Tableau Jobs (NOW HIRING)

Analytics Engineer

WV · On-site +1

$127K - $172K/yr

Data Modeling, GitLab CI/CD, Programming Languages, Structured Query Language (SQL), Tableau ... This position is fully remote and requires a Public Trust (or the ability to obtain it). US ...

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Tableau Engineer

OR · Remote

$60 - $70/hr

Remote Role Duration : 9+ Months Contract Role Responsibilities Profile : Role should have good ... Design and implement highly optimized Custom SQL queries to structure, aggregate, and blend complex ...

Remote Primary Responsibilities • Experience and in-depth knowledge of business intelligence ... SQL & SQL data ingestions • Defines, executes and interpret complex/nested SQL queries. • ...

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Remote Python Sql Tableau information

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How much do remote python sql tableau jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote python sql tableau in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Remote Python Sql Tableau vs Data Analyst?

AspectRemote Python Sql TableauData Analyst
Required SkillsPython, SQL, Tableau, data visualizationExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, business-focused
Industry UsageTech, finance, healthcare, marketingFinance, retail, healthcare, consulting

Remote Python Sql Tableau roles focus on programming, data manipulation, and visualization, often requiring coding skills. Data Analysts analyze data to generate insights, typically using Excel and SQL. While both roles involve data visualization, Python and Tableau are more prominent in Remote Python Sql Tableau positions, whereas Data Analysts may rely more on Excel and basic tools. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

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What cities are hiring for Remote Python Sql Tableau jobs?

Cities with the most Remote Python Sql Tableau job openings:

What are the most commonly searched types of Python Sql Tableau jobs?

The most popular types of Python Sql Tableau jobs are:

What states have the most Remote Python Sql Tableau jobs?

States with the most job openings for Remote Python Sql Tableau jobs include:

Infographic showing various Remote Python Sql Tableau job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Engineer / Python & SQL Developer

TalentBridgeX

Washington, DC • Remote

$57 - $78.50/hr

Full-time

Posted 8 days ago


Job description

Data Engineer / Python & SQL Developer

Our client is seeking a highly qualified Data Engineer / Python & SQL Developer to support the design, development, and deployment of data engineering and ETL solutions in a mission-focused environment. This role requires advanced expertise in Python and SQL, with demonstrated experience developing scalable data pipelines, cloud-based integrations, and backend data processing solutions using AWS services. The ideal candidate will also bring strong database design capabilities, technical documentation skills, and experience working within Agile delivery environments.

Location: Remote (Preference for Dayton, OH or Washington, DC Metro Area)

Key Responsibilities:

  • Design, develop, enhance, and maintain data pipelines, ETL workflows, and backend data processing solutions using Python and SQL
  • Implement and support cloud-based data engineering solutions leveraging AWS Lambda, AWS Glue, Amazon S3, and related AWS services
  • Design and maintain database schemas, tables, data models, and stored procedures
  • Apply database design best practices, including normalization, performance optimization, data integrity, and scalable architecture
  • Analyze business and technical requirements and translate them into secure, scalable, and maintainable data solutions
  • Develop and maintain technical documentation, including solution documentation, interface specifications, data flow diagrams, and operational procedures
  • Participate in Agile ceremonies and delivery activities, including backlog management, sprint planning, status tracking, and issue resolution using Jira
  • Troubleshoot and resolve data quality, integration, ETL, and performance issues across the solution environment
  • Test ETL pipelines and data workflows to validate functionality, reliability, and data quality
  • Perform peer code reviews for other Data Engineers and provide technical guidance as appropriate
  • Collaborate with developers, architects, analysts, program leadership, and other cross-functional stakeholders to support successful delivery outcomes

Required Skills:

Experience:

  • Proven advanced or expert-level experience developing solutions using Python and SQL
  • Hands-on experience designing, developing, and maintaining ETL pipelines and data workflows
  • Experience with AWS Lambda, AWS Glue, Amazon S3, and related cloud data integration technologies
  • Experience with database design, schema development, data modeling, table design, and stored procedure scripting
  • Experience troubleshooting data quality, integration, and performance issues
  • Experience testing ETL pipelines and conducting code reviews
  • Consultant/Senior Consultant or USDC/PDM/Specialist equivalent experience

Skills:

  • Strong understanding of database design and data architecture best practices
  • Strong Python development and SQL scripting capabilities
  • Ability to design scalable, maintainable, and secure data engineering solutions
  • Ability to produce clear and structured technical documentation for development and operational use
  • Strong analytical, troubleshooting, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment

Desired:

  • Prior experience supporting the Department of Defense (DoD) or U.S. Air Force programs
  • Experience working in complex enterprise data environments with multiple upstream and downstream integrations
  • Experience supporting mission-oriented technology programs
  • Experience working within secure or controlled government environments

Credentials / Clearance:

  • Ability to meet applicable government security and access requirements