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Python Sql Jobs in Houston, TX (NOW HIRING)

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks. * Collaborate with data scientists to translate models into production ...

NAVA Software Solutions

Python Developer

Houston, TX · On-site

$45.50 - $62.75/hr

Python Developer Location: Houston TX - Onsite Job Type: Full time / Direct Hire The Python ... Oracle / PL SQL development experience including stored procedures * Strong understanding of object ...

Vitol

Python Data Engineer

Houston, TX · On-site

... PL SQL development experience including stored procedures • Strong understanding of object-oriented design, design patterns, SOA architectures • Past experience working in an Agile/Scrum ...

Snowrelic Inc

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Python Developer Location: Houston , TX Roles and Responsibilities: * Must be able to work ... Experience with database technologies such as SQL DB, Oracle * Experience with Docker, Kafka ...

Apex Informatics

Python Developer

Houston, TX · On-site

$46.25 - $64/hr

Python Developer Location: Houston, TX ( 3 days onsite 2 days remote) look for nearby Candidates ... Database development skills, experience with Object databases and Relational databases - SQL Server ...

First Citizens Bank

Senior Data Engineer

Houston, TX · On-site

$97K - $133K/yr

This individual will build and optimize scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies. As part of our growing ...

First Citizens Bank

Lead Data Engineer

Houston, TX · On-site

$105K - $127K/yr

This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving ...

First Citizens Bank

Data Engineer II

Houston, TX · On-site

$105K - $127K/yr

This individual will contribute to the development and support of scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related ...

CEDENT

DB2 SQL Data Engineer

Houston, TX · On-site

... Python, microservices, and VS Code IDE. Responsibilities: * Develop and maintain SQL stored ... procedures and scripts in the DB2 IBM iSeries environment. * Modernize and convert RPGIV, RPGLE ...

Vitol

Python Data Engineer

Houston, TX

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Oracle / PL SQL development experience including stored procedures * Strong understating of object ...

Vitol

Python Data Engineer

Houston, TX · On-site

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Oracle / PL SQL development experience including stored procedures * Strong understating of object ...

Dellfor Technologies

python developer

Texas City, TX · On-site

$80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Contract 5+years of experience Python will be the primary language, using which developer would perform SQL/CRUD operations in DB, file extraction/transformation/generation (CSV, XML, JSON, PDF ...

Acro Service Corp.

Software Engineer

Houston, TX · On-site

$50 - $56/hr

  • PTO

Python, SQL, JavaScript. Data Analysis & Visualization: Pandas, NumPy, Jupyter Notebook, Plotly, Dash, Power BI Testing: PyTest, Unit Testing, Integration Testing, API Testing, Test Automation.

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Showing results 21-40

All JobsPython Sql JobsPython Sql Jobs in Houston, TX

Python Sql information

See Houston, TX salary details

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How much do python sql jobs pay per hour?

As of Aug 18, 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.

Data Scientist

Sky Consulting Inc

Houston, TX • On-site

Full-time

Re-posted 14 days ago

Job description

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
  • Collaborate with data scientists to translate models into production-ready code.
  • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
  • Design and optimize mathematical programming and machine learning models for real-world applications like Incentive elasticity model.
  • Expereince implementing scenario simulation algorithms.
  • Work independently to break down complex problems into actionable development tasks.
  • Ensure code quality, scalability, and maintainability in a production environment.
  • Contribute to sprint planning, documentation, and cross-functional collaboration.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements
Requirements
  • 8 years of experience working as a Data Scientist
  • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
  • Proficiency in Python, SQL, and PySpark.
  • Experience with Databricks or similar enterprise cloud environments.
  • Experience with production-level coding and deployment practices.
  • Familiarity with basic machine learning techniques and mathematical optimization methods.
  • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
  • Should have experience working on Price Elasticity.
  • Self-starter with an ownership mindset and the ability to work with minimal supervision.