ZipRecruiter

Log In

2

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

Honor

Staff Data Platform Engineer

Austin, TX · Remote

The Opportunity We're looking for a Staff Data Engineer to help shape the future of Honor's data ... 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

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

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 ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

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 ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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 ...

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 ...

previous pagenext page

Showing results 21-40

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

Remote Data Engineer information

See Pflugerville, TX salary details

$41.9K

$122K

$167K

How much do remote data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data engineer in Pflugerville, TX is $122,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Pflugerville, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,017 per year, or $58.7 per hour.

Staff Data Platform Engineer

Honor

Austin, TX • Remote

Full-time

Re-posted 12 days ago

Job description

Honor Technology's mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor's growing portfolio includes its consumer care brand, Home Instead, Inc., the world's leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.

Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.

About Us

Our mission is simple—we're changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we're solving complex problems that don't come with a playbook. Sound exciting? If you're someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let's talk.

Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning.

At Honor, we're not building technology for technology's sake. We're building technology that helps people deliver better care.

The Opportunity

We're looking for a Staff Data Engineer to help shape the future of Honor's data platform.

This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization.

This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business.

What You'll DoBuild and Evolve Our AWS-Native Data Platform
  • Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.
  • Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads.
  • Define and implement Infrastructure-as-Code standards using AWS CDK.
Own Data Orchestration and Data Engineering Foundations
  • Design and operate scalable orchestration frameworks using Airflow and FiveTran.
  • Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt.
  • Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation.
Enable Trusted Data Access Through Governance and AI Readiness
  • Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use.
  • Help define how both employees and AI-powered systems safely access and leverage company data.
  • Build the foundations that enable self-service analytics and future agentic workflows across the organization.
Drive Reliability, Observability, and Operational Excellence
  • Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices.
  • Build scalable data quality frameworks that ensure confidence in business-critical data.
  • Continuously improve platform reliability, performance, and cloud cost efficiency.
Lead Through Technical Influence and Partnership
  • Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data.
  • Provide technical leadership, architectural guidance, and mentorship across the data organization.
  • Influence long-term platform strategy and engineering best practices across multiple teams.
What We're Looking For
  • 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS.
  • Proven track record leading complex technical initiatives and influencing architecture across teams.
  • Strong software engineering fundamentals and experience building production-grade systems.
  • Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design.
  • Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization.
  • Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems.
  • Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact.
  • Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority.
  • Passion for building platforms that empower others and scale organizational impact.
Preferred Qualifications
  • Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK.
  • Experience designing data governance, metadata, lineage, or self-service data platforms.
  • Experience supporting AI, machine learning, or agentic workflow initiatives.
  • Experience leading platform modernization efforts in high-growth environments.
  • Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager.
What's Next?

Sound like a fit? Apply below!

#LI-AN1

Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.


Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match.
We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.

Hiring Salary Range
$194,000—$220,000 USD

At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.

Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.