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

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

We specialize in cloud architecture, infrastructure, migration, and optimization, helping ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

We specialize in cloud architecture, infrastructure, migration, and optimization, helping ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Hired Recruiters

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud service, data pipelines and ML platform. The role will involve end-to-end development: from helping ...

Loxo

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

Citizens Bank

Principal Data Engineer - Neo4J

Austin, TX · On-site +1

Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you ... Experience integrating graph platforms with big data ecosystems (Spark, Kafka, etc.) and cloud ...

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 ...

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

Cloud & Database Engineering: * Architect and implement data solutions on cloud platforms (e.g ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

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 ...

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All JobsCloud Data Engineer JobsRemote Cloud Data Engineer JobsRemote Cloud Data Engineer Jobs in Austin, TX

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

As of Sep 7, 2026, the average hourly pay for remote cloud data engineer in Austin, TX is $62.33, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $71.01 per hour, depending on experience, location, and employer.

What is a remote cloud data engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.

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

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

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

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

What are the most commonly searched types of Cloud Data Engineer jobs in Austin, TX?

The most popular types of Cloud Data Engineer jobs in Austin, TX are:

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

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

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Remote Cloud Data Engineer jobs near you
Infographic showing various Remote Cloud Data Engineer 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 $129,652 per year, or $62.3 per hour.

Director, Data Engineering (Google Cloud Platform)

TTEC Digital

Austin, TX • On-site, Remote

$165K - $195K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
At TTEC Digital, we coach clients to ensure their employees feel valued and fully supported, because an amazing customer experience is an employee-first process. Our vision is the same: a place where employees know they can thrive.
As the Director, Data Engineering (GCP), you will lead our Google Cloud data engineering function within the Data and Analytics team. You will play a pivotal, highly visible leadership role driving modern data architecture, advanced ingestion, real-time analytics, Generative AI infrastructure, and enterprise data governance-all natively powered by Google Cloud Platform.
We are looking for a hands-on, strategic technology leader who combines deep GCP technical expertise with a passion for mentoring high-performing engineering teams. You will collaborate closely with client executives, lead solution delivery, and build scalable, business-critical data foundations that power advanced analytics, AI/ML and enterprise digital transformations.
What you'll be doing:
  • Functional Leadership: Define and execute the technical vision for our GCP Data Engineering functional practice, setting standards for data modeling, ingestion pipelines, lakehouse architectures, and cloud cost optimization (FinOps).
  • GCP Solution Delivery: Oversee the end-to-end design and deployment of enterprise data platforms using core Google Cloud services, including BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex (Knowledge Catalog), and Cloud Storage.
  • GenAI & ML Enablement: Partner directly with the Data Science and AI functional practice within the team to design and build production-grade data pipelines, vector search infrastructure, and retrieval-augmented generation (RAG) frameworks powered by the Gemini Enterprise Agent Platform (i.e., Vertex AI) and BigQuery ML.
  • Data Governance & Security: Lead the implementation of GCP-native data governance, security, and compliance frameworks-establishing data lineage, row/column-level access control, and metadata management via Knowledge Catalog and IAM.
  • Client & Executive Partnership: Serve as the GCP Data SME during pre-sales activities, client workshops, and enterprise delivery engagements-translating complex business needs into modern GCP and Generative AI architectures.
  • Quality & Engineering Excellence: Establish CI/CD, IaC (Terraform), continuous data testing, and automated monitoring (Dataflow/BigQuery logs) to ensure maximum reliability, security, and accuracy across client data assets.
  • Team Development & Strategy: Manage, mentor, and scale an agile team of GCP Data Engineers. Drive talent acquisition, skill development, Google Cloud certification pathways, and performance management aligned with practice growth.

Skills and experience you will bring:
  • Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
  • Core Experience: 10+ years in data engineering and enterprise architecture, with 5+ years of direct people management experience leading agile engineering teams.
  • Deep GCP Mastery: 4+ years of hands-on experience designing and building production data solutions natively on Google Cloud (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow, Dataproc, Cloud Storage).
  • Generative AI & Modern Stack Skills: Advanced proficiency in SQL and Python. Practical experience deploying data pipelines for LLMs, vector search indexing, and GenAI workflows alongside frameworks like Apache Beam, PySpark, and NoSQL databases.
  • Architectural Expertise: Proven track record in modern data modeling, ELT/ETL pipeline architecture, real-time streaming processing, and building Medallion/Lakehouse architectures on cloud.
  • DevOps & Governance: Strong understanding of Terraform for GCP infrastructure, CI/CD pipelines, and enterprise data security practices (IAM, KMS, Knowledge Catalog governance).
  • Client Engagement & Business Acumen: Exceptional presentation, consultative, and stakeholder management skills-with a demonstrated ability to translate quantitative insights and AI capabilities into strategic business outcomes.
  • Certifications: Google Cloud Professional Data Engineer certification is strongly preferred.

$165,000 - $195,000 a year
#LI-BN1
This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.
Benefits available to eligible employees include the following:
- Medical, dental, vision
- tax-advantaged health care accounts
- financial and income protection benefits
- paid time off (PTO) and wellness time off.
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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