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Python Sql Jobs in Houston, TX (NOW HIRING)

Saransh Inc

Python Lead (Python + Oracle, PL/SQL)

Houston, TX · On-site

$133K - $164K/yr

Python Lead (Python+ Oracle, Pl/sql) Location: Houston, TX (Onsite from Day 1) Job Type: Contract Experience Required: 10+ years Skill Metrics: Name Required Oracle Yes PL/SQL Yes PostgreSQL Yes ...

Jobtailor

Senior AI Engineer

Houston, TX · On-site

$150 - $200/hr

Develop AI agent software and system integrations using Python, SQL, Flask, and FastAPI * Build scalable and portable AI solutions using Docker and Kubernetes * Partner with business and product ...

New

Scalence L.L.C.

Python backend + React

Houston, TX · On-site

$48 - $66/hr

The role requires extensive experience in Python and React, focusing on backend development and integration with AWS and SQL. Qualifications : Required : • Python backend Must needed with 8+ years ...

CGI

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

Develop data ingestion, transformation, and processing workflows using Python, SQL, PySpark, and Spark. . Build and optimize solutions within Databricks, including notebooks, workflows/jobs, Delta ...

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Python Sql information

See Houston, TX salary details

$12

$55

$82

How much do python sql jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python sql in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 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 Houston, TX?

The most popular types of Python Sql jobs in Houston, TX are:

What are popular job titles related to Python Sql jobs in Houston, TX?

For Python Sql jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Python Sql jobs in Houston, TX look for?

The top searched job categories for Python Sql jobs in Houston, TX are:

What cities near Houston, TX are hiring for Python Sql jobs?

Cities near Houston, TX with the most Python Sql job openings:

Python Sql jobs near you
Infographic showing various Python Sql job openings in Houston, TX as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,442 per year, or $56 per hour.

Lead Software Engineer - Java/Python, SQL, Databricks

JPMorgan Chase & Co.

Houston, TX • On-site

$150 - $200/hr

Other

Posted 25 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 176 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate sector - Wholesale Credit Risk team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in Java and Python
  • Strong SQL and PL/SQL skills
  • Experience with Databricks
  • Experience in Web/API development (RESTful services, Angular JS, EXT JS)
  • Experience in RDBMS (Oracle, SQL Server)
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
  • Experience with AWS and Snowflake
  • Familiarity with big data tools (Hadoop, S3, Dremio data lake)
  • Knowledge of business intelligence platforms (Tableau, Business Objects, MIDAS)
  • Experience in Kafka messaging
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