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Python Sql Jobs in Virginia (NOW HIRING)

Python, SQL, AWS Developer

Reston, VA ยท On-site

$52.25 - $72/hr

Python * SQL * AWS Data Services * Jira * BI concepts Key Responsibilities * Design, develop, and maintain data pipelines and ETL/ELT processes using Python and SQL . * Develop and optimize complex ...

Contract Top Skills Details 7-10 years of experience working as a Python/ML Engineer with strong Python, SQL, and AWS LLMs - RAG, AWS Bedrock, standard AWS services Experience: * 8+ years overall in ...

Gen AI/Python Developer

Reston, VA ยท On-site

$52.25 - $72/hr

Python * Gen AI ... SQL * AWS Data Services * LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in ...

Senior Python Developer

Mclean, VA ยท On-site

$123K - $166K/yr

Python, SQL, Groovy, PostgreSQL, Jenkins, Docker Kubernetes, CI/CD, Bitbucket, Gitlab, Oracle, AWS cloud services (S3, Lambda), REST API data sources, Microservice architecture, Django framework ...

Python Developer

Reston, VA ยท On-site

$52.25 - $72/hr

Python Developer Python developer: 5-7 years experience Reston only - hybrid, 3 days onsite, 2 days ... Skilled in strong SQL * Skilled in AWS Database products such as RDS, Redshift, or Aurora * Skilled ...

Senior Python Developer with Spark

Reston, VA ยท On-site

$126K - $170K/yr

  • Retirement

  • PTO

Advanced proficiency in SQL, including: Writing recursive CTEs for hierarchical data (e.g., org ... Python * SQL * Terraform * GitLab What you can expect from us: Together, as owners, let's turn ...

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Python Sql information

See Virginia salary details

$13

$58

$85

How much do python sql jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python sql in Virginia is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python SQL?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

What are the key skills and qualifications needed to thrive in the Python SQL position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

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

The most popular types of Python Sql jobs in Virginia are:

What job categories do people searching Python Sql jobs in Virginia look for?

The top searched job categories for Python Sql jobs in Virginia are:

Infographic showing various Python Sql job openings in Virginia as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,887 per year, or $58.1 per hour.

Python, SQL, AWS Developer

SES

Reston, VA โ€ข On-site

$52.25 - $72/hr

Other

Posted 20 days ago


Job description

Systems Engineering Services is seeking a Python, SQL, AWS Developer based in the Reston, VA area.

Top 5 Technical Skills:

  1. Python
  2. SQL
  3. AWS Data Services
  4. Jira
  5. BI concepts

Job Description:

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL/ELT processes using Python and SQL.
  • Develop and optimize complex SQL queries, stored procedures, and database objects for reporting and analytics.
  • Perform source-to-target data mapping and execute comprehensive data quality validation to ensure data integrity and consistency.
  • Work with AWS data services, including AWS Lambda, Amazon Redshift, Apache Iceberg, and Amazon Glacier, to build and support scalable data solutions.
  • Collaborate with business stakeholders, data analysts, and developers to understand business requirements and translate them into technical solutions.
  • Develop, execute, and maintain test cases for data validation, ETL processes, and reporting solutions.
  • Create and maintain technical documentation, including design documents, mapping documents, data dictionaries, and operational procedures.
  • Participate in Agile ceremonies, including sprint planning, daily stand-ups, backlog grooming, and retrospectives.
  • Track work items, defects, and enhancements using JIRA and contribute to continuous process improvements.
  • Troubleshoot production issues, perform root cause analysis, and implement corrective actions.

Required Qualifications

  • Strong programming experience in Python.
  • Advanced proficiency in SQL, including complex query development and performance optimization.
  • Solid understanding of Business Intelligence (BI) concepts, reporting, and analytics.
  • Strong knowledge of relational databases and database design principles.
  • Hands-on experience with AWS services
  • Strong documentation and technical writing skills.

Jake Lutman

Technical Recruiter

Systems Engineering Services