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Remote Python Sql Jobs in Atlanta, GA (NOW HIRING)

Good knowledge of Python and SQL. * Solid understanding of AWS services, specifically S3, SNS/SQS ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Senior Golang Software Engineer

Atlanta, GA ยท On-site +1

$117K - $155K/yr

Remote - U.S. Employment Type: Full-Time About the Role We are seeking a Senior Software Engineer ... Build and maintain systems using SQL/PostgreSQL * Contribute to infrastructure, deployment, and CI ...

New

Financial Analyst

Atlanta, GA ยท Remote

$70K - $95K/yr

... remote environment Nice to Have * Experience with ERP systems such as SAP, Oracle, NetSuite, or Microsoft Dynamics * Familiarity with SQL or Python for financial data analysis * Background in FP&A, ...

Applied AI Engineer 5425 3-Month Contract-to-Hire Fully Remote in EST possibly with some travel (5 ... Python * Azure AI Services * PyTorch * React / TypeScript * Terraform * SQL You'll own the ...

Senior AWS Data Engineer

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Strong expertise in Python, PySpark, and SQL. * Strong hands-on experience with AWS services such ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Digital Manufacturing Engineer

Atlanta, GA ยท On-site +1

$53K - $122K/yr

Location This is a Remote Role. About the job you're considering We are building modern, highly ... Python scripting, JavaScript, CSS, SQL, and API integrations to create scalable, production-grade ...

Lead Analytics Engineer

Atlanta, GA ยท On-site +1

$98K - $129K/yr

Utilize Python to create reproducible analyses, automation scripts, and robust data validation ... Expert-level proficiency in SQL on RDS, Oracle, and Redshift, including deep query tuning and ...

Data Infrastructure Architect

Atlanta, GA ยท Remote

$65.25 - $84/hr

Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks. * Deep ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Data Infrastructure Architect

Atlanta, GA ยท On-site +1

$61.25 - $78.75/hr

Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks. * Deep ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Data Quality Engineer

Alpharetta, GA ยท Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... using SQL, Informatica, IICS, Snowflake, and Python. * Data Validation and Quality Assurance ...

Showing results 21-40

Remote Python Sql information

See Atlanta, GA salary details

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How much do remote python sql jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote python sql in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is a remote Python SQL developer?

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 skills and qualifications are needed to thrive as a remote Python SQL developer?

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 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 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 the most commonly searched types of Python Sql jobs in Atlanta, GA?

The most popular types of Python Sql jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Python Sql jobs?

Cities near Atlanta, GA with the most Remote Python Sql job openings:

Junior Data Engineer

Sequoia Connect

Atlanta, GA โ€ข On-site, Remote

Full-time

Posted 10 days ago


Job description

Description
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 Junior Data Engineer:
The Challenge (Responsibilities)
  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • 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
  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

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

Special Notes
  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

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/
Requirements
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.