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Remote Aws Data Engineer Jobs in Georgetown, TX (NOW HIRING)

ActivTrak

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

Cloud environment experience (GCP or AWS), Docker/Containers, Kubernetes * Machine learning ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Sagent

Data Services Engineer SR

Austin, TX · On-site +1

$113K - $136K/yr

Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

NTT DATA Services

Lead AWS Public Cloud Engineer

Austin, TX · Remote

$54.25 - $72.75/hr

Req ID: 335205 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Be able to support customer remote file service in Azure File Share in Azure Gov Cloud. * Have ...

NTT DATA Services

Lead AWS Public Cloud Engineer

Austin, TX · Remote

$55.25 - $73.75/hr

Req ID: 335205 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Be able to support customer remote file service in Azure File Share in Azure Gov Cloud. * Have ...

Honor

Staff Data Platform Engineer

Austin, TX · Remote

What You'll Do Build and Evolve Our AWS-Native Data Platform * Lead the architecture and ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

... AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid ... Python developer. * A love of working with data. Familiarity with cleaning/transforming data.

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Showing results 21-40

All JobsAws Data Engineer JobsRemote Aws Data Engineer JobsRemote Aws Data Engineer Jobs in Georgetown, TX

Remote Aws Data Engineer information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

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

As of Sep 7, 2026, the average yearly pay for remote aws data engineer in Georgetown, TX is $120,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

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

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

What are the most commonly searched types of Aws Data Engineer jobs in Georgetown, TX?

The most popular types of Aws Data Engineer jobs in Georgetown, TX are:

What are popular job titles related to Remote Aws Data Engineer jobs in Georgetown, TX?

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

What job categories do people searching Remote Aws Data Engineer jobs in Georgetown, TX look for?

The top searched job categories for Remote Aws Data Engineer jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Remote Aws Data Engineer jobs?

Cities near Georgetown, TX with the most Remote Aws Data Engineer job openings:

Remote Aws Data Engineer jobs near you
Infographic showing various Remote Aws Data Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,522 per year, or $57.9 per hour.

Senior Data Engineer

ActivTrak

Austin, TX • Remote

$105K - $142K/yr

Full-time

Posted 12 days ago

Job description

We're growing our data engineering team to design and operate the production systems that make our machine learning and analytics work scalable, observable, reliable, and economical. This is a platform-ownership role: you're building the infrastructure a petabyte-scale data platform runs on, not executing tickets handed down from another team.

You'll work on problems like:

  • Designing and operating production data pipelines across a layered (bronze/silver/gold) data platform: sourcing, cleansing, and transforming data at scale
  • Solving incremental sync and stream processing as data volume and account count grow - a real, unsolved scaling problem for us today
  • Building regional data architecture that respects data residency and PII boundaries (e.g., data belonging to a region can't simply be centralized into one global store)
  • Designing the production systems, orchestration, and deployment mechanisms that turn Data Science's models and analysis into durable, monitored, reliable pipelines

Where this role starts and ends: Data Science owns problem formulation, features, model and scoring logic, evaluation, and model performance. You own the pipeline infrastructure, orchestration, deployment mechanisms, observability, scalability, and operational reliability that put their work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform.

This is an individual contributor role with substantial ownership of the platform. It does not include people-management responsibilities.

Requirements

Must-Haves:

  • 5+ years designing and operating data pipelines in production at scale
  • Experience with batch and stream data processing, including incremental/streaming architectures
  • Strong Python and production-grade software engineering practices (testing, code review, version control, monitoring)
  • Demonstrably strong SQL
  • Experience with ETL/ELT pipeline design and orchestration

Nice-to-Haves:

  • Experience with regional/multi-region data storage and data residency constraints
  • Parallel dataframes (Dask, Spark, or similar)
  • API design/implementation (microservices, REST, etc.)
  • Cloud environment experience (GCP or AWS), Docker/Containers, Kubernetes
  • Machine learning deployment or serving experience

Benefits

Why Should You Apply?

  • Own the platform problem that determines how fast and how reliably ActivTrak's ML and analytics can scale
  • Meaningful scaling challenges: incremental/streaming processing, regional data residency, and petabyte-scale data across hundreds of millions of events per day
  • 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 in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, or age.

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