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

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role Overview & Key Interactions As a Data Platform Engineer at Quik!, you will be a ...

myHR Partner

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role Overview & Key Interactions As a Data Platform Engineer at Quik!, you will be a ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role Overview & Key Interactions As a Data Platform Engineer at Quik!, you will be a ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Data Pipelines & Model Integration: Create data pipelines and AI model context protocols ...

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 ... Data Pipelines & Model Integration: Create data pipelines and AI model context protocols ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Data Pipelines & Model Integration: Create data pipelines and AI model context protocols ...

FloSports, Inc.

Staff Data Platform Engineer

Austin, TX · Remote

$117K - $140K/yr

The Staff Data Platform Engineer role at Flo blends Data Engineering, Backend Engineering, and Cloud Engineering into a unique and impactful position. This position is expected to design, build, and ...

FloSports

Staff Data Platform Engineer

Austin, TX · On-site +1

$113K - $136K/yr

The Staff Data Platform Engineer role at Flo blends Data Engineering, Backend Engineering, and Cloud Engineering into a unique and impactful position. This position is expected to design, build, and ...

Hireblazer

BI Data Architect (Data Modeling)

Austin, TX · Remote

$80 - $100/hr

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 ...

Generac

Sales Engineer - Data Centers

Austin, TX · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

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 ...

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Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Georgetown, TX

Remote Data Engineer information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

How much do remote data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote 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 Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Georgetown, TX? The most popular types of Data Engineer jobs in Georgetown, TX are:
What are popular job titles related to Remote Data Engineer jobs in Georgetown, TX? For Remote Data Engineer jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Georgetown, TX look for? The top searched job categories for Remote Data Engineer jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Remote Data Engineer jobs? Cities near Georgetown, TX with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Georgetown, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $120,522 per year, or $57.9 per hour.
Data Platform Engineer

Data Platform Engineer

MyHR Partner, Inc

Austin, TX • On-site, Remote

$135K - $155K/yr

Full-time

Medical, PTO

Re-posted 23 days ago

Job description

Your Ideal Data Platform Engineer Job
  • Are you passionate about powering the data behind AI-driven solutions?
  • Do you thrive on solving large-scale data challenges across structured, semi-structured, and unstructured systems?
  • Are you fluent in SQL, NoSQL, and distributed architectures?
  • Can you design and optimize storage layers for both operational workloads and AI/ML pipelines?
  • Do you want to shape the future of data infrastructure for an AI-first company?
  • Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation?
 
Role Overview & Key Interactions
As a Data Platform Engineer at Quik!, you will be a cornerstone of our data architecture. You’ll design, implement, and evolve scalable data systems that serve our product platform, internal engineering, and next-gen AI features.  This role directly enables Quik!’s mission to deliver intuitive, intelligent forms automation. You will work closely with our Backend Engineers, DevOps, Product Owners, and the CTO to ensure performance, scalability, and availability of data systems while embracing modern tooling, cloud-native infrastructure, and AI-first practices.
 
 
What You’ll Do
  • 35% – Data Architecture & Reliability
    • Design and maintain scalable storage across SQL, NoSQL, in-memory, and search platforms
    • Ensure system resilience, availability, and observability
    • Implement lifecycle management, backup/recovery, and security protocols
  • 30% – Performance & Optimization
    • Identify and resolve bottlenecks across the data layer
    • Tune indexing, caching, and partitioning strategies
    • Improve query throughput and data latency for AI and transactional workloads
  • 20% – AI-First Data Practices
    • Support AI-driven features with performant, accessible data structures
    • Work on vector storage, semantic indexing, and future RAG (Retrieval-Augmented Generation) features
    • Use AI-assisted tools (e.g., GitHub Copilot, ChatGPT) to improve development speed and documentation
  • 15% – Collaboration & Cross-Functional Work
    • Partner with engineering teams to deliver backend features reliant on complex data pipelines
    • Document schemas, systems, and best practices
    • Mentor peers on observability and modern data design
 
Who You Are
  • 5+ years of experience managing or building large-scale data systems
  • Proficient in SQL, NoSQL, and distributed systems (MSSQL, MongoDB, Redis)
  • Comfortable with Elasticsearch or Solr, schema evolution, and data modeling
  • Familiar with cloud-native infrastructure (AWS or Azure)
  • Skilled in observability and performance tuning
  • Excited to adopt AI-assisted tools to boost efficiency and quality
 
  • Nice-to-Haves:
  • Experience with vector databases and semantic search - Knowledge of RAG patterns or AI-first architecture - Familiarity with streaming/event-driven platforms like Kafka or EventBridge
  • Experience with Kubernetes or container-based deployments
 
 
Tough Job to Win – But Worth It
  • You’ll be asked to own performance, scalability, and the long-term health of Quik!’s data architecture. That means:
    • Taking full responsibility for uptime and optimization
    • Collaborating proactively across disciplines
    • Thinking ahead to support new AI product needs
    • Owning documentation and cross-team communication
    • Committing to continuous learning and sharing knowledge
 
 
Why Work at Quik!
We are 100% focused on revolutionizing paperwork. With over 41,000 forms in our platform and
integrations across the financial services industry, Quik! is the trusted partner to top broker-dealers and
RIAs. As an AI-first company, we use artificial intelligence to eliminate manual effort and streamline every interaction.
 
Quik! was founded on four core philosophies:
  • We enjoy what we do
  • We design intuitive solutions
  • We provide outstanding service
  • We do what we say we’ll do.
 
We’re in our 23rd year of business, growing steadily, and investing deeply in product innovation. Here, your code won’t just run—it will shape how thousands of advisors serve their clients.
  
Get to know us by checking out our staff gallery: https://www.quickforms.com/our-company 
 
 
Compensation & Location:
  • Salary: $135,000 – $155,000/year (commensurate with experience) + bonus potential
  • Location: 100% remote (US based)
  • Perks: Health coverage, paid time off, professional development, home office stipend
 
 
I’m interested. How do I get started? 
Apply to: https://app.jobvite.com/j?cj=oLImzfw8&s=myHRpartner
 
Is this the job for you? If not, feel free to share this link with someone who might be interested.
 
Our hiring management partner is myHR Partner. myHR Partner is not a staffing service or recruiter. All resumes will be reviewed for this position and only for our organization.
 
Thank you for considering us as a potential employer! 
 
At Quik! we continually celebrate the diverse community built by people with different backgrounds and perspectives. As an equal opportunity employer, we stay true to that by ensuring that our place can be anyone’s place.

Apply