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Data Engineer Internship Remote Jobs in Austin, TX

ActivTrak

Senior Data Scientist

Austin, TX · Remote

Data Engineering owns the pipeline infrastructure, orchestration, deployment mechanisms, and ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Workiva

Spring 2027 Intern - Data Analytics

Austin, TX · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Addison Group

Data Architect

Austin, TX · Remote

$85 - $90/hr

M & F remote, Tuesday-Thursday onsite Pay: $85-90/HR This position is eligible to enroll in medical ... data engineers, analysts, and data stewards Required Qualifications · 7-12+ years in data ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Apptronik

Senior Security Engineer - Data Platform

Austin, TX · On-site +1

$113K - $155K/yr

Data Encryption: Investigate and implement end-to-end encryption for data at rest and in transit ... Secure Remote Access: Establish secure, auditable remote access solutions for engineers to ...

SpyCloud

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

You'll build the preprocessing and feature engineering pipelines your own models depend on, and you ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

ZipRecruiter

Senior Software Engineer, Big Data

Austin, TX · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

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All JobsData Engineer JobsData Engineer Internship Remote JobsData Engineer Internship Remote Jobs in Austin, TX

Data Engineer Internship Remote information

See Austin, TX salary details

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How much do data engineer internship remote jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data engineer internship remote in Austin, TX is $25.19, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $28.61 per hour, depending on experience, location, and employer.

What is a data engineer internship remote?

A Data Engineer Internship Remote job is a temporary, online position where interns assist with building, maintaining, and optimizing data pipelines and infrastructure. Interns work with large datasets, databases, and ETL processes to support business intelligence and analytics teams. They gain experience in cloud platforms, SQL, Python, and data warehousing while collaborating with engineers and analysts. This remote role allows flexibility while providing hands-on experience in data engineering best practices.

What are the typical daily responsibilities of a remote data engineer intern?

As a remote Data Engineer Intern, your daily responsibilities often include assisting with data extraction, transformation, and loading (ETL) processes, cleaning and organizing datasets, and helping to build or maintain data pipelines. You may also work on tasks such as writing scripts in SQL or Python, contributing to database schema design, and documenting your work for team collaboration. Regular communication with your supervisor and team, participating in virtual meetings, and collaborating on version control platforms like Git are also common aspects of the role. These experiences offer valuable insight into real-world data engineering workflows and prepare you for more advanced responsibilities in the field.

What are the key skills and qualifications needed to thrive in the data engineer internship remote position, and why are they important?

To excel as a Data Engineer Intern in a remote setting, you need a solid grounding in computer science, data structures, and programming concepts, often supported by coursework or experience in related fields. Familiarity with data modeling, SQL, Python, cloud platforms (like AWS or Azure), and tools such as Apache Spark or Airflow is highly valuable, along with any project-based experience or relevant certifications. Strong communication, self-motivation, and time management skills are crucial for working efficiently and collaboratively in a remote environment. These abilities enable you to handle data workflows, solve technical problems, and contribute effectively to distributed teams in real-world projects.

What are popular job titles related to Data Engineer Internship Remote jobs in Austin, TX?

For Data Engineer Internship Remote jobs in Austin, TX, the most frequently searched job titles are:

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The top searched job categories for Data Engineer Internship Remote jobs in Austin, TX are:

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Data Engineer Internship Remote jobs near you
Infographic showing various Data Engineer Internship Remote job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,402 per year, or $25.2 per hour.

Senior Data Scientist

ActivTrak

Austin, TX • Remote

Full-time

Posted 9 days ago

Job description

We're growing our Data Science team to ship production machine learning that powers ActivTrak's next generation of workforce intelligence products. This is a hands-on role built around production ownership: you take a problem from formulation through a shipped, monitored model, not just to a notebook.

You'll work on problems like:

  • Predicting user roles and classifying activity from behavioral event data
  • Cross-account benchmarking that turns aggregate usage patterns into product-differentiating insight
  • Making pragmatic tradeoffs between model sophistication, business value, reliability, latency/cost, and iteration speed
  • Partnering with our Data Engineers, who take your models and analysis and turn them into durable, scalable production systems

Where this role starts and ends: You own problem formulation, feature definition, model and scoring logic, evaluation, and ongoing model performance in production. Data Engineering owns the pipeline infrastructure, orchestration, deployment mechanisms, and operational reliability that put your work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform - your job is the model delivering the intended outcome and improving over time.

This is an individual-contributor role with substantial ownership over your problem space. It does not include people-management responsibilities.

Requirements

Must-Haves:

  • 5+ years bringing machine learning to production at scale, with direct experience making the sophistication/speed/reliability tradeoffs described above
  • Strong Python and production-grade software engineering practices (testing, code review, version control)
  • Experience with classification/prediction problems on behavioral, event, or user activity data
  • Strong SQL and comfort working directly against production data sources, not just flat files or CSVs
  • Experience with feature engineering: defining, standardizing, and validating features for production models
  • Experience monitoring model quality after deployment and responding to drift or degradation, not just shipping and moving on

Nice-to-Haves:

  • Time series analysis and/or hidden state models
  • Parallel dataframes (Dask, Spark, or similar)
  • Comfort working within a layered/medallion-style data architecture (raw cleansed/identified aggregated/de-identified)
  • Feature store experience (versioning, storage, reuse)
  • Cloud environment experience (GCP or AWS), and general comfort operating around containerized/orchestrated infrastructure (Docker, Kubernetes) even if you're not the one building it

Benefits

Why Should You Apply?

  • Own production ML that reaches customers and improves through real-world feedback
  • Work on a genuinely uncommon ML problem: behavioral event data from 9,500+ customer organizations, used for role prediction, activity classification, and cross-account benchmarking
  • Small, senior team with real ownership and visibility to leadership

Work environment

  • Position is remote within US
  • Minimal travel
  • Limited physical demands 

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company.  If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you! 

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 

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