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Remote Python Jobs in Baytown, TX (NOW HIRING)

Quora

AI Automation Engineer -Remote

Houston, TX · On-site +1

$202K - $234K/yr

... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Diverse Lynx LLC

UCM Engineer

Houston, TX · Remote

Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype UCM engineers who have experience ... Python, Java, Perl Ability to troubleshoot collaboration solutions covering multiple products and ...

Diverse Lynx LLC

UCM Engineer

Houston, TX · On-site +1

UCM Engineer Location: Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype § UCM ... Python, Java, Perl § Ability to troubleshoot collaboration solutions covering multiple products ...

MatchPoint Solutions

AI Engineer - Claude

Seabrook, TX · On-site +1

$80 - $100/hr

Remote - USA Employment Type: Contract Pay Range: $80/hr - $100/hr - Key Responsibilities We are ... Python, Claude/LLM integrations, prompt engineering, workflow automation, API development, and ...

Troutman Pepper

Senior Data Engineer

Houston, TX · Remote

$101K - $137K/yr

... Python scripts and automate the internal processes required. * Experience with Fabric and Aderant preferred. * Prior law firm or professional services experience beneficial. #LI-Remote The Firm will ...

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All JobsPython JobsRemote Python JobsRemote Python Jobs in Baytown, TX

Remote Python information

See Baytown, TX salary details

$12

$53

$78

How much do remote python jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote python in Baytown, TX is $53.38, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $60.62 per hour, depending on experience, location, and employer.

What are Remote Python jobs?

Remote Python jobs are positions where you work primarily with the Python programming language but do so from a location outside of a traditional office, such as your home or another remote location. These jobs can include roles like software developer, data analyst, backend engineer, or machine learning engineer, all of which use Python for building applications, analyzing data, or automating tasks. Remote Python jobs are popular due to Python's versatility and the growing demand for flexible work arrangements in the tech industry.

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

To thrive as a Remote Python Developer, you need strong programming skills in Python, experience with software development life cycles, and a relevant degree or professional experience. Familiarity with tools like Git, Docker, cloud platforms (e.g., AWS), and frameworks such as Django or Flask is typically required, along with knowledge of remote collaboration tools like Slack and Jira. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote team integration and project delivery. These skills ensure efficient, high-quality code development, seamless teamwork, and the ability to meet project goals independently in a remote environment.

What Are Remote Jobs That Use Python?

Remote jobs that use Python focus on coding software and applications to meet the needs or business objectives of your employer. This may involve working with a database, customizing an existing application, or otherwise modifying software based on its expected environment. You can also find a few remote roles that allow you to teach Python instead of using it. Many remote jobs that use Python also involve coding in other common languages as necessary—Python may be the bulk of the work, but the ability to switch to other modes of programming as needed is essential for success in this field. As a remote employee or independent contractor, you may use virtual office software to coordinate with others, upload software into a central database for testing, or work odd hours to meet the needs of your client.

What is the difference between Remote Python vs Remote Data Analyst?

AspectRemote PythonRemote Data Analyst
Required SkillsPython programming, scripting, libraries (e.g., Pandas, NumPy)Data analysis, SQL, Excel, visualization tools
CertificationsPython certifications, data science coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, marketing, consulting firms
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, market research, reporting

Remote Python roles focus on coding, automation, and software development using Python, while Remote Data Analysts analyze data sets to generate insights. Both roles often work remotely and require analytical skills, but their core responsibilities and tools differ significantly.

How do Remote Python Developers typically collaborate and communicate with their teams?

Remote Python Developers often work closely with distributed teams using collaboration tools like Slack, Zoom, and GitHub. Clear communication and regular check-ins are essential for syncing on project requirements, code reviews, and troubleshooting. Developers are encouraged to document their code thoroughly and proactively update their progress to ensure smooth workflow across different time zones. This environment fosters independence and strong written communication skills, while also providing opportunities to participate in virtual standups, sprint planning, and peer programming sessions.
More about Remote Python jobs
What are popular job titles related to Remote Python jobs in Baytown, TX? For Remote Python jobs in Baytown, TX, the most frequently searched job titles are:
What cities near Baytown, TX are hiring for Remote Python jobs? Cities near Baytown, TX with the most Remote Python job openings:
Remote Python jobs near you
Infographic showing various Remote Python job openings in Baytown, TX as of July 2026, with employment types broken down into 75% Full Time, 9% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,022 per year, or $53.4 per hour.
Senior Data Engineer ID75059

Senior Data Engineer ID75059

AgileEngine

Texas City, TX • On-site, Remote

$90K - $123K/yr

Full-time

Posted 6 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
  • Design and implement Python Data Engineering solutions;
  • Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
  • Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
  • Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
  • Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
  • Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
  • Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
  • Work with Terraform and other tools to build AWS and on-prem infrastructure.

MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
  • 5+ years of experience with Python;
  • 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
  • 2+ years of experience with Big Data technologies (Spark, Snowflake);
  • Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
  • Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
  • Proven ability to work with 3rd party APIs for complex data ingestion tasks;
  • Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
  • Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
  • Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
  • A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
  • Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
  • Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
  • Upper-intermediate English level.

NICE TO HAVES
  • Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
  • Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
  • OpenSearch, Elasticsearch;
  • AWS Sagemaker Studio, Jupyter for analyze data;
  • Terraform;
  • Scala.

PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.

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