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Remote Python Sql Jobs in Queens, NY (NOW HIRING)

SQL Developer

New York, NY · Remote

$46.25 - $63.50/hr

Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java. Performance Tuning: Experience in SQL ... Comfort working with remote team members located in the US, India, or other geographies.

GIS Analyst/Engineer

New York, NY · On-site +1

$80 - $120/hr

This position is hybrid, with up to one remote day per week. Job Responsibilities: * Develop ... Write and optimize code in Python and SQL for data management, analytics, and automation. * Create ...

Remote Commitment: 10-20 hours/week Role Responsibilities * Conduct equity and macroeconomic ... Experience with data analysis tools ( Python , SQL ). Application Process (Takes 20-30 mins to ...

SFTP Analyst

Manhattan, NY · On-site +1

$145K - $155K/yr

This position is primarily on-site in our NYC office Monday - Thursday, with remote work on ... Automate monitoring and administrative tasks using PowerShell, Python, SQL, and REST APIs * Create ...

SFTP Analyst

Manhattan, NY · Remote

$145K - $155K/yr

This position is primarily on-site in our NYC office Monday - Thursday, with remote work on ... Automate monitoring and administrative tasks using PowerShell, Python, SQL, and REST APIs * Create ...

We are open to hiring remote in the US. Essential Duties and Responsibilities: * Manage multiple ... Proficiency with Excel and at least one scripting language (R, Python, SQL) * Ability to work with ...

Exceptional skills in Python, SQL, and any other programming language for data analysis and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Remote Commitment: 10-20 hours/week Role Responsibilities * Conduct equity and macroeconomic ... Experience with data analysis tools ( Python , SQL ). Application Process (Takes 20-30 mins to ...

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Remote Python Sql information

See Queens, NY salary details

$13

$61

$90

How much do remote python sql jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote python sql in Queens, NY is $61.17, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.47 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Python SQL Developer, you need strong proficiency in Python programming and SQL database management, typically backed by a degree in computer science or related experience. Familiarity with tools like PostgreSQL, MySQL, version control systems (e.g., Git), and cloud platforms is commonly required, along with any relevant certifications. Excellent problem-solving, self-motivation, and effective remote communication skills set standout professionals apart in this role. These skills are crucial for efficiently building and maintaining robust data-driven applications while collaborating seamlessly in distributed teams.

What are some common challenges faced by Remote Python & SQL Developers, and how can they be addressed?

Remote Python & SQL Developers often face challenges such as effective communication with distributed teams, managing overlapping project priorities, and ensuring data security when accessing databases remotely. To address these, it's crucial to establish clear communication routines (like daily stand-ups), use collaborative tools (such as Slack or Jira), and strictly follow company protocols for secure database access. Proactively seeking feedback and documenting code also help maintain project alignment and code quality within a remote environment.

What is a Remote Python SQL job?

A Remote Python SQL job involves working with databases and backend systems using the Python programming language and SQL (Structured Query Language) while working from a location outside of a traditional office. Professionals in this role typically write code to query, manipulate, and analyze data stored in databases, automate data workflows, and build data-driven applications. Remote arrangements allow these tasks to be completed from anywhere with a stable internet connection, offering flexibility while still requiring strong technical and communication skills.

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

AspectRemote Python SqlRemote Data Analyst
Required SkillsPython, SQL, data manipulationData visualization, SQL, statistical analysis
Work EnvironmentRemote, programming-focusedRemote, analysis and reporting
Industry UsageTech, finance, data-driven companiesBusiness, marketing, finance
CertificationsPython, SQL certificationsData analysis, Excel, Tableau certifications

Remote Python Sql roles focus on programming, data extraction, and database management, while Remote Data Analyst positions emphasize interpreting data, creating reports, and visualizations. Both roles often require SQL skills and can be found in similar industries, but they serve different functions within data teams.

What are popular job titles related to Remote Python Sql jobs in Queens, NY? For Remote Python Sql jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Remote Python Sql jobs in Queens, NY look for? The top searched job categories for Remote Python Sql jobs in Queens, NY are:
What cities near Queens, NY are hiring for Remote Python Sql jobs? Cities near Queens, NY with the most Remote Python Sql job openings:

Data Engineer (Python / Power BI / Cloud) (Remote)

TSG Risk Management

New York, NY • Remote

$80K - $100K/yr

Full-time

Posted 9 days ago


Job description

Location Requirement

This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.

Position Overview

We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.

The ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.

Key Responsibilities
  • Design, develop, and maintain secure and scalable data pipelines and ETL processes
  • Build and optimize data models to support analytics and reporting use cases
  • Develop Power BI dashboards and reports to deliver actionable insights
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
  • Participate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
  • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
  • Develop and maintain Python scripts for data extraction, transformation, and automation
  • Support metric development and reporting automation initiatives
  • Contribute to infrastructure-related activities, including deployments and environment support
  • Create and maintain technical documentation (e.g., Confluence)
  • Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
  • 46+ years of experience in data engineering or related field
  • Strong experience with Python and SQL
  • Hands-on experience building and maintaining ETL/data pipelines
  • Experience with data modeling and working with structured datasets
  • Experience with Power BI (dashboard development and reporting)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience working in Agile environments with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
  • Experience with data automation and metric standardization
  • Exposure to infrastructure deployments or DevOps practices
  • Experience with Confluence or similar documentation tools
  • Prior experience supporting enterprise reporting or analytics initiatives