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Remote Python Sql Jobs in Round Rock, TX (NOW HIRING)

Hireblazer

Windows Systems Administrator

Austin, TX · Remote

$45 - $50/hr

Remote - Texas-based candidates preferred Summary: The client has issued a request for a System ... Minimum Candidate Characteristics: 5+ years administering Microsoft servers (including web and SQL ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week. Our Stack: * Python * Linux * Databases: Elasticsearch, SQL, Databricks * AWS (EC2, RDS, SQS, S3 ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem-solving ability * Excellent written and verbal communication and skills * Degree in Computer 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 ...

Podium Education

HelpHub Specialist

Austin, TX · On-site +1

$16/hr

HelpHub Specialist Austin | Phoenix | Remote, Part time | Seasonal Part-time, seasonal employment ... Coding for Data * Part 1: Data Wrangling with SQL * Part 2: Intro to Python for Data * Web ...

FHR

MO3-613-Senior Azure Cloud Engineer 11694-1

Austin, TX · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... PYTHON DEVELOPMENT EXPERIENCE INCLUDING PYSPARK, PANDAS, FLASK, PYTEST. * HANDS-ON EXPERIENCE WITH ...

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All JobsPython Sql JobsRemote Python Sql JobsRemote Python Sql Jobs in Round Rock, TX

Remote Python Sql information

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How much do remote python sql jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote python sql in Round Rock, TX is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.12 per hour, depending on experience, location, and employer.

What are common challenges faced by remote Python SQL developers, and how can they be addressed?

Remote Python & SQL Developers often face challenges such as effective communication with distributed teams, managing overlapping project priorities, and ensuring data security when accessing databases remotely. To address these, it's crucial to establish clear communication routines (like daily stand-ups), use collaborative tools (such as Slack or Jira), and strictly follow company protocols for secure database access. Proactively seeking feedback and documenting code also help maintain project alignment and code quality within a remote environment.

What is a remote Python SQL developer?

A Remote Python SQL job involves working with databases and backend systems using the Python programming language and SQL (Structured Query Language) while working from a location outside of a traditional office. Professionals in this role typically write code to query, manipulate, and analyze data stored in databases, automate data workflows, and build data-driven applications. Remote arrangements allow these tasks to be completed from anywhere with a stable internet connection, offering flexibility while still requiring strong technical and communication skills.

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

AspectRemote Python SqlRemote Data Analyst
Required SkillsPython, SQL, data manipulationData visualization, SQL, statistical analysis
Work EnvironmentRemote, programming-focusedRemote, analysis and reporting
Industry UsageTech, finance, data-driven companiesBusiness, marketing, finance
CertificationsPython, SQL certificationsData analysis, Excel, Tableau certifications

Remote Python Sql roles focus on programming, data extraction, and database management, while Remote Data Analyst positions emphasize interpreting data, creating reports, and visualizations. Both roles often require SQL skills and can be found in similar industries, but they serve different functions within data teams.

What skills and qualifications are needed to thrive as a remote Python SQL developer?

To thrive as a Remote Python SQL Developer, you need strong proficiency in Python programming and SQL database management, typically backed by a degree in computer science or related experience. Familiarity with tools like PostgreSQL, MySQL, version control systems (e.g., Git), and cloud platforms is commonly required, along with any relevant certifications. Excellent problem-solving, self-motivation, and effective remote communication skills set standout professionals apart in this role. These skills are crucial for efficiently building and maintaining robust data-driven applications while collaborating seamlessly in distributed teams.
What are popular job titles related to Remote Python Sql jobs in Round Rock, TX? For Remote Python Sql jobs in Round Rock, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python Sql jobs in Round Rock, TX look for? The top searched job categories for Remote Python Sql jobs in Round Rock, TX are:
What cities near Round Rock, TX are hiring for Remote Python Sql jobs? Cities near Round Rock, TX with the most Remote Python Sql job openings:
Remote Python Sql jobs near you
Infographic showing various Remote Python Sql job openings in Round Rock, TX as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $113,706 per year, or $54.7 per hour.

Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Yelp, Inc

Austin, TX • Remote

$103K - $142K/yr

Full-time

Re-posted 22 days ago

Yelp rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

137th of 242 rated software companies

Job description

Summary

Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment.

Yelp's mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems.  You'll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on. 

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.

What you'll do:
  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Work with large and complex textual and visual datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.
What it takes to succeed:
  • Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
  • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of engineering and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
  • A Bachelor's Degree or an equivalent work experience is required
What you'll get:
  • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!
ClosingAt Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education - and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include "Playing Well With Others" and "Authenticity." We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.  We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role. We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. US Recruiting and Applicant Privacy Notice Notice to Washington Applicants - Washington State Fair Chance Act #LI-RemoteEmployment Type: FULL_TIME

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