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Scientist Python Jobs in Austin, TX (NOW HIRING)

PETADATA

Senior Python Developer with Snowflake

Rollingwood, TX · On-site

$117K - $158K/yr

Senior Python Developer with Snowflake Experience: 12+ Years Location: TX (Onsite) Work type: C2C ... Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related ...

Saxon Global

Data Scientist

Austin, TX · On-site

... Spark(Python or Scala), Hadoop and Hive primarily - Should have ability to build and manipulate ... Science field and related field Additional Information All your information will be kept ...

Victory

Data Scientist

Austin, TX

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

Victory

Data Scientist

Austin, TX · On-site +1

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

Smadex

Growth Data Scientist

Austin, TX · On-site

... Python, SQL and large data sets, understanding of analytic methodologies for data evaluation • Excellent verbal and written communication skills, with the ability to present analysis and ...

MedReview

Data Scientist

Austin, TX · On-site

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Apple

Applied Scientist

Austin, TX · On-site

The Services Data Science & Analytics organization is passionate about developing discerning ... Python, R, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and ...

MedReview

Data Scientist

Austin, TX · On-site

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Smadex

Senior Data Scientist

Austin, TX · On-site

... Python, SQL and large data sets, understanding of analytic methodologies for data evaluation. • Excellent verbal and written communication skills, with the ability to present analysis and ...

Neuralink

Clinical Scientist

Austin, TX

Familiarity with statistical methods or programming (e.g., Python, R) * 5+ years of experience in clinical research or scientific roles within medical devices or related fields * Strong analytical ...

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All JobsScientist Python JobsScientist Python Jobs in Austin, TX

Scientist Python information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do scientist python jobs pay per year?

As of Jul 19, 2026, the average yearly pay for scientist python in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

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

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

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

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Austin, TX? For Scientist Python jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Austin, TX look for? The top searched job categories for Scientist Python jobs in Austin, TX are:
What cities near Austin, TX are hiring for Scientist Python jobs? Cities near Austin, TX with the most Scientist Python job openings:
Scientist Python jobs near you
Infographic showing various Scientist Python job openings in Austin, TX as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.
Senior Python Developer with Snowflake

Senior Python Developer with Snowflake

PETADATA

Rollingwood, TX • On-site

$117K - $158K/yr

Other

Posted yesterday

Job description

Job Title: Senior Python Developer with Snowflake  Experience: 12+ Years Location: TX (Onsite)

Work type: C2C

Visa Type: and , H1B,-EAD

Job Summary:

 

PETADATA is seeking a Senior Python Developer with Snowflake having 12+ years of experience in Python development, Snowflake, SQL, ETL/ELT, Data Warehousing, and Cloud Technologies (AWS/Azure/Google Cloud Platform). The candidate will be responsible for building scalable data solutions, optimizing data pipelines, and supporting enterprise data platforms. 

Roles & Responsibilities:

  • Design, develop, and maintain scalable data processing applications using Python and Snowflake.

  • Build and optimize enterprise-level ETL/ELT pipelines for data ingestion, transformation, and loading.

  • Design and implement efficient Snowflake data warehouse solutions, including schema design, data modeling, and performance optimization.

  • Develop reusable and scalable Python frameworks, APIs, and automation solutions.

  • Collaborate with business stakeholders, data architects, and cross-functional teams to gather requirements and translate them into technical solutions.

  • Optimize SQL queries, stored procedures, and data workflows for maximum performance and reliability.

  • Integrate data from various sources including relational databases, APIs, cloud storage, and third-party applications.

  • Implement data quality, governance, security, and compliance best practices across the data ecosystem.

  • Monitor, troubleshoot, and resolve production issues related to data pipelines and Snowflake environments.

  • Lead code reviews, establish development standards, and mentor junior team members.

  • Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.

  • Work closely with DevOps teams to implement CI/CD pipelines and automate deployment processes.

  • Evaluate and recommend new technologies and best practices to improve platform efficiency and scalability.

Required Qualifications:  

  • 12+ years of experience in Python development, Data Engineering, or related fields.

  • Strong expertise in Python Programming (OOP, Multithreading, APIs, Data Processing).

  • Extensive hands-on experience with Snowflake Data Cloud.

  • Strong experience in SQL, query optimization, and database performance tuning.

  • Expertise in ETL/ELT Development and data integration methodologies.

  • Experience with Data Warehousing, Data Modeling, and dimensional modeling techniques.

  • Hands-on experience with PySpark and large-scale data processing frameworks.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Strong knowledge of Apache Airflow, workflow orchestration, and scheduling tools.

  • Experience with REST APIs, JSON, and third-party integrations.

  • Proficiency in version control tools such as Git/GitHub.

  • Experience with CI/CD Pipelines, Docker, and Kubernetes.

  • Knowledge of DBT (Data Build Tool) is highly preferred.

  • Familiarity with Kafka or other streaming technologies is a plus.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Excellent communication and stakeholder management skills.

Main Skills:

Python, Snowflake, SQL, ETL/ELT, Data Warehousing, Data Modeling, PySpark, AWS, Azure, Google Cloud Platform, Apache Airflow, DBT, REST APIs, Git, CI/CD, Docker, Kubernetes, Kafka, Data Integration, Performance Tuning.

Education:

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field. 

Candidates are required to attend Phone/video calls and in-person interviews. After the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.

Please email your resume to 

Contact No: 

After carefully reviewing your experience and skills, one of our HR team members will contact you on the next steps.

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