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Remote Python Data Engineer Jobs in Houston, TX (NOW HIRING)

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · Remote

$147K - $210K/yr

Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing ... Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem ...

Inizio Partners

Platform Engineer

Houston, TX · Remote

Houston (Preferred), Remote (US) is also fine * Seeking a Platform Engineer with strong Python skills to support Cloud and Data Platform project. Primary Responsibilities: * Design, build, and deploy ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Comfortable working with data engineers to validate datasets, metric logic, and dashboard performance. This is a remote position.

SynMax

Senior Full-Stack Engineer

Houston, TX · Remote

Google Cloud Platform (GCP) Backend & Data: Python (API First), Postgres Frontend & Middle-Tier ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

SynMax

Senior Full-Stack Engineer

Houston, TX · On-site +1

Google Cloud Platform (GCP) Backend & Data: Python (API First), Postgres Frontend & Middle-Tier ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

Airswift

Software Engineer I

Houston, TX · On-site +1

The position has evolved from a data science focus into a software engineering-first role ... Develop production-quality Python applications for analytics and decision support * Design and ...

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Showing results 1-20

All JobsRemote Python Data Engineer JobsRemote Python Data Engineer Jobs in Houston, TX

Remote Python Data Engineer information

See Houston, TX salary details

$22K

$133.7K

$193.4K

How much do remote python data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote python data engineer in Houston, TX is $133,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $157,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Data Engineer, and why are they important?

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

What is the difference between Remote Python Data Engineer vs Remote Data Scientist?

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

What cities near Houston, TX are hiring for Remote Python Data Engineer jobs? Cities near Houston, TX with the most Remote Python Data Engineer job openings:
Remote Python Data Engineer jobs near you

Lead - AI Risk, Governance & Responsible AI - AIRLHV

NavitasPartners

Houston, TX • On-site, Remote

$98K - $128K/yr

Other

Posted 22 days ago

Job description

Lead - AI Risk, Governance & Responsible AI 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are hiring a Lead for AI Risk & Governance to ensure responsible deployment of AI and GenAI systems across enterprise platforms. 

Key Responsibilities: 

  • Develop and enforce AI governance policies and standards  
  • Manage AI risk, bias detection, and model validation processes  
  • Work closely with ML engineers and data teams for compliance integration  
  • Ensure enterprise-wide adherence to Responsible AI principles  

Required Skills: 

  • Proven experience in AI governance, risk management, or compliance  
  • Strong understanding of cloud platforms (AWS, Azure, GCP)  
  • Hands-on experience with AI/ML lifecycle governance  

Nice to Have / Coverage: 

  • Data Engineering platforms: Databricks, Snowflake, Synapse, BigQuery  
  • ML/AI Engineering: Python, PyTorch, MLOps frameworks  
  • GenAI: Experience governing LLMs, LangChain, agent-based AI  
  • Experience working with cloud/data platform architects  

For more details reach at resumes@navitassols.com.

Apply