ZipRecruiter

Log In

1

Data Engineer Python Jobs in Texas (NOW HIRING)

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and ... Write efficient Python code on structured time series datasets that scales easily across cloud ...

Embtel Inc

Python PySpark / Data Engineer

Houston, TX · On-site

Python PySpark/ Data Engineer Location: Houston, TX H1B Transfer will work, but local candidate will get 1st preference. 6+ years of professional work experience designing and implementing data ...

Bright Mind Solutions LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This is a hands-on engineering role with a focus on data modeling, transformation, and scalability ... Use Python to build reusable data processing components, automate workflows, and integrate with ...

QTech US Inc

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX Duration: Long Term project Full Time Position Data Engineer ... Strong SQL and Python proficiency with hands-on experience in medallion/ Lakehouse architectures on ...

Embtel Inc

Python PySpark/ Data Engineer

Plano, TX · On-site

Python PySpark/ Data Engineer Location: Plano, TX H1B Transfer will work, but local candidate will get 1st preference. * 6+ years of professional work experience designing and implementing data ...

ApTask

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Job Overview: * Data Engineering Skilled in building ...

New

Oscar Technology

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

The ideal candidate will have strong hands-on experience with SQL and Python, modern cloud data platforms, and Lakehouse/Medallion architectures. This is a hands-on engineering role focused on ...

Millennium Group

Jr Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Jr. Data Engineer We are seeking a Junior Data Engineer with experience in data engineering, Snowflake, and Python. The ideal candidate will understand Data Warehousing concepts and Data Cloud ...

Vastika Inc.

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Job Overview: * Data Engineering Skilled in building ...

New

Ascentt

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Write clean, efficient, and production-ready SQL queries and Python code for data transformation ... Proficiency in SQL and Python programming * Practical experience with PySpark and distributed data ...

Ascentt Business Systems

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Write clean, efficient, and production-ready SQL queries and Python code for data transformation ... Proficiency in SQL and Python programming * Practical experience with PySpark and distributed data ...

LPL Financial LLC

Python API Engineer

Charlotte, TX · On-site

$106.10 - $176.90/hr

Job Overview The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization, responsible for building and supporting scalable cloud-native solutions ...

New

Sally Beauty Holdings

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Basic programming experience with Python or Java. * Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects ...

LPL Financial

Python API Engineer

Austin, TX

The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization , responsible for building and supporting scalable cloud-native solutions that enable ...

CosmoProf

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Basic programming experience with Python or Java. * Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects ...

Blue Learning

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

This is a fantastic opportunity to level up your career using a modern data stack (Python, dbt ... Experience: 1-3 years in data engineering, analytics engineering, or a data-heavy technical role.

Programmers.io

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

SQL, Python. * PySpark * Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub). * Data Warehousing Concepts Preferred Skills: · Exposure to Spark and Azure Data Lake. * Experience with Power BI ...

Sally Beauty Holdings

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Basic programming experience with Python or Java. * Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects ...

previous page

Showing results 41-60

All JobsData Engineer Python JobsData Engineer Python Jobs in Texas

Data Engineer Python information

See Texas salary details

$21.4K

$130.4K

$188.7K

How much do data engineer python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer python in Texas is $130,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a data engineer python?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What does a data engineer python do?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the key skills and qualifications needed to thrive in the data engineer python position?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

How much does a Data Engineer Python make?

A Data Engineer specializing in Python typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with expertise in big data tools like Spark or Hadoop may have higher salaries, especially in high-demand markets.

What are the most commonly searched types of Data Engineer Python jobs in Texas?

The most popular types of Data Engineer Python jobs in Texas are:

What are popular job titles related to Data Engineer Python jobs in Texas?

For Data Engineer Python jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Engineer Python jobs in Texas look for?

The top searched job categories for Data Engineer Python jobs in Texas are:

Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,405 per year, or $62.7 per hour.

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$116K - $156K/yr

Full-time

Re-posted 22 days ago

Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and maintain the calculation logic, data flows and infrastructure that power ComboCurve's Economics engine. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building new features that make ComboCurve's platform even more powerful.
What You'll Do
  1. Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure.
  1. Own features end-to-end-from scoping and design through implementation, deployment, and monitoring-working as an independent unit alongside our Product Manager.
  1. Engage in software and infrastructure system design discussions, contributing to architectural decisions that shape the ComboCurve platform.
  1. Build and maintain backend services and APIs in Python that are reliable, well-tested, and straightforward to extend.
  1. Model, query, and optimize data in MongoDB-schema design, indexing, and aggregation pipelines-so product features stay fast as data grows.
  1. Deploy and operate containerized services on cloud infrastructure, leveraging GCP components such as Cloud Run, Cloud Functions, and GCS.
  1. Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code quality, and explore new product capabilities.
  1. Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team.

Requirements
Technical
  1. Python: Production-grade Python 3.13+, type annotations and async/await as the default. No shortcuts on type safety.
  1. API Design: Clean REST or gRPC services with OpenAPI contracts. Knows how to version and evolve APIs without breaking consumers.
  1. Web Frameworks & Serving: Hands-on experience with Flask and/or FastAPI for building production services, and comfortable configuring Gunicorn for WSGI deployment.
  1. Software Architecture Patterns: SOLID principles and clean architecture in practice. Designs decoupled, maintainable services that scale.
  1. Data & Statistical Analysis: Comfortable working with structured datasets in Python using tools like pandas or numpy for basic statistical analysis, exploratory analysis, and deriving actionable insights from data.
  1. Data Processing & Visualization: Able to process medium-to-large datasets efficiently and communicate findings clearly through simple visualizations or reports when needed.
  1. SaaS Delivery: Proven track record taking features to production in cloud-based SaaS products. Comfortable with the full lifecycle from dev to deploy to monitor.
  1. MongoDB: Schema design, indexing, and aggregation pipelines in production. ODM like MongoEngine or native driver, e.g. PyMongo.
  1. Modern Dependency Management: Hands-on with uv or similar for fast package resolution and virtual environment handling.
  1. Testing: Comprehensive pytest suites including fixtures, parameterization, and mocked external services.
  1. Containerization: Docker and Docker Compose for local and production. Knows how to keep images lean.
  1. Code Quality: Enforces standards via tools like ruff and pyright. Treats static analysis as a first-class concern.

Nice to Have
  1. Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud Functions, and Cloud Storage.
  1. AI Integration: Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features without needing to be an ML specialist.
  1. Domain Knowledge: Experience in the oil and gas industry or a background in Petroleum Engineering; the context matters here and shapes better product decisions.

Workflow & Collaboration
  1. Takes ownership end-to-end, from scoping to shipping to iterating.
  1. Can translate ambiguous product requirements into concrete technical proposals.
  1. Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  1. Reviews code to raise quality and share context, not just approve.

While this is a fully remote position, there will be an in person New Hire Orientation.

Apply