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Remote Data Platform Engineer Jobs in Austin, TX

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

... platforms like Python, Airflow, dbt, AWS and Snowflake. This is a fully remote position. Face to ... data engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ...

Data Processing Engineer

Austin, TX ยท On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Build Python-based automation for the parsing platform. * Bring order to dirty and/or unstructured ...

Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary ... Partner with enterprise architects and data engineering teams to design efficient ETL/ELT pipelines ...

Sr. SRE Platform Architect

Austin, TX ยท On-site +1

$56.50 - $75/hr

Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including ... Key Responsibilities Own the end-to-end architecture of the NeoCloud SRE platform - the substrate ...

Data Processing Engineer

Austin, TX ยท On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Build Python-based automation for the parsing platform. * Bring order to dirty and/or unstructured ...

Senior Product Manager, Platform

Austin, TX ยท Remote

$125K - $165K/yr

Experience as a data analyst, software engineer, or managing data platforms, preferred While this role is based in Austin, Texas, we're open to exploring remote possibilities for qualified candidates.

Showing results 41-60

Remote Data Platform Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do remote data platform engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote data platform engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are popular job titles related to Remote Data Platform Engineer jobs in Austin, TX? For Remote Data Platform Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Austin, TX look for? The top searched job categories for Remote Data Platform Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Data Platform Engineer jobs? Cities near Austin, TX with the most Remote Data Platform Engineer job openings:
Infographic showing various Remote Data Platform Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Data Engineer

Cross Screen Media

Austin, TX โ€ข On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago


Job description

Cross Screen Media is founded by industry veterans and gives customers a new way to plan and execute video advertising campaigns. To achieve this, we need an amazing team. Here's where you come in...
We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data should be modeled, how systems connect, and how to design for scale. You'll work alongside a senior data engineer and collaborate across a small, high-output team to shape the data layer behind our product, ScreenSolve. We're currently using tools and platforms like Python, Airflow, dbt, AWS and Snowflake.
This is a fully remote position. Face to face communication is important to us, so we have quarterly in-person team meetings at our office in Alexandria, VA. Additionally, we have biannual company offsites to give all of our employees time together in person.
Key Responsibilities
  • Design and develop data pipelines, with an eye toward how they fit into the broader data architecture
  • Make data modeling and schema design decisions - choosing the right structure for how data is stored, accessed, and extended
  • Think beyond the immediate task: consider how today's integration point becomes tomorrow's platform surface area
  • Deliver features rapidly using AI-assisted development tools (Claude Code, etc.)
  • Contribute to definition of user stories
  • Collaborate with other members of the team on development & integration
  • Write unit tests and maintain high code quality, per both static code analysis & team standards
  • Be available on a rotating schedule for production issues
Experience
  • BS in Computer Science or equivalent
  • 5+ years experience in software/data engineering
  • Strong SQL skills
  • Experience with ETL/ELT techniques
  • Strong sense for data architecture - you can look at a set of requirements and reason about how data should be modeled, where it should live, and how schemas should be designed for clarity and reuse
  • Experience with dbt
  • Experience with Airflow or similar orchestration tools
  • Experience with Snowflake or similar cloud data warehouses
  • Experience working with AWS
  • Unix/Linux fundamentals
  • Nice to have: Experience with AI coding tools
  • Nice to have: Exposure to ad tech concepts & terminology
What We Offer
  • Competitive salary with high bonus potential
  • Collaborative and creative atmosphere, with inspired leadership
  • Career advancement opportunities
  • Recognition and reward for outstanding performance
  • Great medical, dental & vision Insurance packages
  • Competitive 401K with company match to plan for the long term
  • Unlimited paid-time-off
  • Transportation benefits & cell phone reimbursement

Unfortunately we are not able to sponsor visas for this position.