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

Central Health

Data Analyst

Austin, TX · On-site +1

Support the development of automated data pipelines and quality checks in collaboration with data engineers. Utilize SQL and Python for data querying, modeling, staging, reporting automation. Create ...

Parkhill

Senior Data Scientist

Austin, TX · On-site +1

Experience with AEC, engineering, or consulting environments * Strong proficiency in Python or R, including relevant ML libraries * Expertise in SQL and experience with data visualization tools ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Python/FastAPI or Node.js backendsand you're comfortable managing data with Postgres or Redis.

continued

AI Engineer (Remote)

Austin, TX · On-site +1

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Python/FastAPI or Node.js backends-and you're comfortable managing data with Postgres or Redis.

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Python/FastAPI or Node.js backends-and you're comfortable managing data with Postgres or Redis.

MedReview

Data Scientist

Austin, TX · On-site +1

Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ... Experience working with global and remote teams

Rugiet Health

Director of Data (Remote)

Austin, TX · On-site +1

$170K - $230K/yr

Manage and develop 2 analysts/data engineers, raising the bar on analytical rigor, ownership, and ... Develop MMM (Marketing Mix Modeling) in Python to inform budget allocation across nine figures of ...

Huckberry

Data & Analytics Manager

Austin, TX · On-site +1

... remote hire Responsibilities * Own prioritization and project management for the data team ... Strong proficiency with SQL and at least one programming language (Python preferred) * Hands on ...

Idea Public Schools

Data Platform Engineer (26-27)

Austin, TX · Remote

$113K - $136K/yr

This is a full-time remote position based in Texas, with preference given to candidates who live in ... Configure and manage cloud-native ingestion tools and custom Python-based pipelines when needed.

Innovetive Petcare

Database Architect

Austin, TX · Remote

$130K - $150K/yr

Remote-first culture with flexibility and autonomy * Opportunity to grow into a Data Engineering or ... Python * Experience with: * Snowpipe * Streams & Tasks * Incremental modeling strategies * Data ...

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All JobsPython Data Engineer JobsRemote Python Data Engineer JobsRemote Python Data Engineer Jobs in Austin, TX

Remote Python Data Engineer information

See Austin, TX salary details

$22.8K

$138.7K

$200.7K

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 Austin, TX is $138,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $163,100.00 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 Austin, TX are hiring for Remote Python Data Engineer jobs? Cities near Austin, TX with the most Remote Python Data Engineer job openings:
Remote Python Data Engineer jobs near you
Data Analyst

Data Analyst

Central Health

Austin, TX • On-site, Remote

Full-time

Posted 6 days ago

Job description

Overview
Central Health's Data Analyst will work alongside a team of other collaborative and engaged data analysts,
epidemiologists, biostatisticians and data scientists to serve as a key resource for business intelligence,
performance, clinical and operational analytics for Central Health. Under the general direction of the Analytics
Quality Manager, our Data Analyst is responsible for organizing, analyzing, and reporting on data from large EHR,
clinical, financial and enrollment data sets. This analyst will act as an Epic subject matter expert for front/back-end
Epic reporting development. They will also assist in the design and validation of datamarts, performance
dashboards and other systems that support the needs of an integrated network of physicians, safety net providers
and hospitals to advance care that is patient centered, equitable and data driven.
Responsibilities
Develop and maintain complex SQL and/ or Python queries to retrieve, join, and summarize data from multiple
sources, initially in SQL Server and later within Snowflake.
Develop, validate, and maintain analytical reports, dashboards and visual analytics (e.g., Power BI, Tableau) to
communicate findings effectively to stakeholders.
Use analytical reasoning to interpret trends, relationships, and outliers; synthesize findings into actionable insights
for business, operational, or clinical teams.
Collaborate with operational, business and clinical units to define metrics, KPIs, and performance indicators aligned
with organizational goals and document business rules and transformation logic that support consistent use of data
across reports.
Translate complex data into clear insights and visualizations that highlight trends, opportunities, and areas for
improvement.
Perform data validation, reconciliation, and spot checks to ensure accuracy and reliability of data migrated from
on-prem to cloud systems.
Support the development of automated data pipelines and quality checks in collaboration with data engineers.
Utilize SQL and Python for data querying, modeling, staging, reporting automation.
Create reports and dashboards in the Epic EHR as well as reports and dashboard in Power BI
Leverage Epic Clarity and Caboodle as a primary EHR data source for analysis, ensuring data accuracy and
consistency across reporting environments.
Aid in the development and validation of analytic datasets within Epic Caboodle to support enterprise reporting and
population health initiatives.
Participate in the development of data dictionaries, metadata documentation, and validation routines.
Identify and troubleshoot data anomalies and irregularities.
Contribute to continuous improvement of data quality and analytic capabilities by identifying process
enhancements and automating manual workflows.
Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions, lineage, and
access controls are properly maintained.
Become a data subject matter expert (SME) and understand various sources and applications of Central Health
data.
Performs other duties as assigned.
Qualifications
MINIMUM EDUCATION:
  • Finance, Mathematics,
    Economics, Statistics,
    Actuarial Science,
    Computer Science,
    Engineering or related
    quantitative discipline.
    Hands on experience with
    healthcare data analysis
    can substitute for for
    specific fields of study.

Work Experience:
  • 2 years
    of experience in healthcare, statistics, experimental
    research, data science, reporting
    and analytics, economics, or public health.
    Required
    And
    1 year
    of experience in SQL (preferably T-SQL) and Python
    scripting with an intermediate to advanced level of
    expertise
    Required
    1 year
    of experience in report development within Epic EMR
    using Clarity, Caboodle, SlicerDicer, Reporting
    Workbench, Radar
    Preferred
    Familiarity with health care claims processing including
    billing codes
    Preferred
    Experience using statistical analysis software such as
    SAS, R, or Python. Preferred
    1 year of experience with Power BI or Tableau. Required
    1 year experience in Azure/ Snowflake environment. Preferred

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