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From Home Data Engineer Jobs in Texas (NOW HIRING)

Qorvo, Inc.

Data Engineer

Richardson, TX · On-site

$103K - $124K/yr

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... from engineers to executives, and build robust solutions in environments where data quality ...

Alliance Credit Union

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

The Data Engineer II plays an advanced individual contributor role in supporting these efforts by designing, building, and maintaining scalable data systems and developing software and tools that ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer * 2-3 years of hands-on experience in Data Engineering * Strong experience in Python and PySpark/Spark for large-scale data processing * Experience working with Databricks and ...

Lorven Technologies

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer Location: Plano, TX (Onsite) looking for an experienced Data Engineer to build and ... Integrate data from multiple systems into centralized analytical datasets. * Work closely with BI ...

Qorvo, Inc.

Data Engineer

Richardson, TX · On-site

$103K - $124K/yr

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... from engineers to executives, and build robust solutions in environments where data quality ...

Bright Mind Solutions LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

No OPT or H1 candidates Must have Consulting Background Must be ready to work 2 days from Office in Dallas, TX Data Engineer - United States About the Role We're seeking a skilled Data Engineer to ...

ELEVATE AVIATION GROUP LLC

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

... from charter to acquisition, management, and maintenance. Summary of position Elevate Aviation ... As a Data Engineer, you'll take ownership of building and maintaining the data systems that ...

Northern Base

Data Engineer

Plano, TX · On-site

$80K - $100K/yr

Build and maintain statistical models to generate insights from historical business data and ... Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter ...

Elevate Jet

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

... from charter to acquisition, management, and maintenance. Summary of position Elevate Aviation ... As a Data Engineer, you'll take ownership of building and maintaining the data systems that ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, ...

Dlapiper

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL ...

General Motors

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

You will partner closely with product owners, architects, data engineers, report and analytics ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ... Build and optimize data integration workflows from multiple data sources. * Develop and manage data ...

Saxon Global

Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

They are seeking a Data Engineer to work closely with business stakeholders and EITS team members ... value from enterprise data assets. • Conceptualize, design and develop data integration ...

Compunnel

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

If you get excited about bringing structure to complex, cross-team programs and driving them from ... As a Data Engineer, you will partner with data science, architecture, MarTech engineering, and ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, ...

Saxon Global

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

... engineering solution services ... from past 16 years. Saxon global specializes in Business Intelligence, Mobility, Big Data & Cloud ...

Elevate Aviation Group LLC

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

... from charter to acquisition, management, and maintenance. Summary of position Elevate Aviation ... As a Data Engineer, you'll take ownership of building and maintaining the data systems that ...

T3i, Inc.

Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Data Engineers serve as the technical foundation of the analytics ecosystem, integrating data from operational, training, medical, personnel, and human performance systems into secure, reliable, and ...

Select Minds LLC

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Inperson Job Summary Work with limited supervision to design, develop, and support data engineering ... work from home options available. Compensation: $60.00 - $65.00 per hour About Us We work to ...

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All JobsData Engineer JobsFrom Home Data Engineer JobsFrom Home Data Engineer Jobs in Texas

From Home Data Engineer information

What is a from home data engineer?

A From Home Data Engineer is a professional who designs, builds, and maintains data systems and infrastructure while working remotely. They are responsible for collecting, processing, and storing large amounts of data, ensuring that it is accessible and usable for analysis. These engineers often use tools like SQL, Python, and cloud platforms such as AWS or Azure to manage data pipelines. Working from home, they collaborate with team members virtually to support business intelligence and data analytics needs.

How do from home data engineers typically collaborate with team members and stakeholders given the remote work setup?

From Home Data Engineers often rely on digital collaboration tools such as Slack, Zoom, and project management platforms to communicate with fellow engineers, data analysts, and business stakeholders. Regular virtual meetings, code reviews, and shared documentation help ensure everyone is aligned on project goals and timelines. While working remotely can present challenges like time zone differences and fewer face-to-face interactions, successful data engineers proactively schedule check-ins and participate in team channels to stay connected and maintain strong working relationships.

What are the key skills and qualifications needed to thrive as a from home data engineer?

To thrive as a From Home Data Engineer, you need strong proficiency in programming languages like Python or Scala, a solid understanding of database systems, and typically a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications like AWS Certified Data Analytics are highly valued. Excellent problem-solving skills, self-motivation, and effective virtual communication are vital soft skills in remote settings. These skills and qualities enable efficient data processing, collaboration, and delivery of reliable analytics solutions while working independently from home.

What is the difference between From Home Data Engineer vs From Home Data Analyst?

AspectFrom Home Data EngineerFrom Home Data Analyst
Required CredentialsBachelor's in CS, Engineering, or related; experience with cloud platformsBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentRemote, often collaborating with engineering teamsRemote, working with business teams to interpret data
Industry UsageTech, finance, healthcare, and moreRetail, marketing, finance, and other sectors
Common Search/ComparisonFrom Home Data Engineer vs From Home Data Analyst

While both roles involve working with data remotely, From Home Data Engineers focus on building data pipelines and infrastructure, whereas From Home Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Data Engineer jobs in Texas? The most popular types of Data Engineer jobs in Texas are:
What cities in Texas are hiring for From Home Data Engineer jobs? Cities in Texas with the most From Home Data Engineer job openings:
From Home Data Engineer jobs near you

Data Engineer

Qorvo, Inc.

Richardson, TX • On-site

$103K - $124K/yr

Full-time

Posted 19 days ago

Qorvo rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.
Role Summary
We are looking for an entry level Data Engineer to help with the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value across the enterprise. This role sits at the intersection of data science, data engineering, analytics engineering, and AI productization. The right person will pair strong technical depth with practical business judgment, helping turn complex data into decisions, tools, and systems that improve operations, reduce cost, accelerate insight, and scale AI adoption. This is a senior individual contributor role for someone who can operate as a technical leader across functions, influence stakeholders from engineers to executives, and build robust solutions in environments where data quality, governance, speed, and return on investment all matter. In the current integration environment, this role must also work effectively within approved collaboration and information-sharing processes, including formal handling of cross-company meetings, data requests, documentation, and CSI-sensitive workflows described in the Project Comet guidance.
What You'll Do
  • Lead the architecture and implementation of production-grade data science and machine learning solutions, from problem framing through deployment and adoption.
  • Build scalable data products, models, and decision-support tools using statistical methods, machine learning, optimization, and modern analytics engineering practices.
  • Partner with business leaders, engineering, IT, manufacturing, quality, finance, and other cross-functional teams to identify high-value opportunities and prioritize work with clear business impact.
  • Translate ambiguous business problems into structured analytical approaches, measurable success criteria, and deliverable roadmaps.
  • Design and maintain reliable data pipelines, feature pipelines, experimentation frameworks, and model monitoring practices.
  • Drive the responsible use of AI across the organization by developing reusable frameworks, templates, evaluation approaches, and best practices for enterprise adoption.
  • Serve as a technical mentor to data scientists, analysts, and engineers; raise the bar on coding, experimentation, documentation, and stakeholder communication.
  • Create executive-ready narratives, visualizations, and recommendations that connect technical findings to business outcomes.
  • Partner with data platform and governance teams to ensure solutions meet requirements for security, compliance, and maintainability.
  • Help shape standards for model lifecycle management, MLOps, analytics engineering, and AI solution delivery.
  • Contribute to integration planning and enterprise analytics initiatives while following approved protocols for meetings, shared materials, data requests, and CSI/non-CSI handling where applicable.
  • Project Comet guidance requires legally approved agendas for certain new cross-company meetings, use of the Data Request List for shared data, and routing potentially sensitive data through the appropriate review path or clean room process.

What Success Looks Like
  • You deliver analytics and AI solutions that produce measurable operational or financial impact.
  • You help the team focus on high-return opportunities that leadership can easily justify and support.
  • You raise technical quality while also improving speed, reuse, and maintainability.
  • You make data science more accessible to the business through better tools, communication, and enablement.
  • You influence decisions well beyond your direct project work.
  • You help the organization use data and AI more effectively without compromising governance, security, or compliance.

Required Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field.
  • Some experience in data science, machine learning, analytics engineering, or data platform development, including experience delivering business-facing solutions in production.
  • Strong programming skills in Python and SQL.
  • Deep experience with statistical analysis, machine learning, feature engineering, model evaluation, and experimental design.
  • Strong experience building data pipelines and working with modern data platforms and cloud analytics ecosystems.
  • Demonstrated ability to own ambiguous, high-impact problems and drive them through to adoption.
  • Experience partnering with senior stakeholders and influencing decisions across technical and non-technical groups.
  • Strong written and verbal communication skills, including the ability to explain complex concepts clearly to executives and business partners.
  • Proven ability to mentor others and lead technically without direct authority.

Technical Skills
  • Python, SQLMachine learning, statistics, optimization, experimentation
  • Data modeling, ETL/ELT, analytics engineering
  • Cloud and distributed data platforms
  • BI and visualization tools
  • Git-based development workflows and production-quality software practices
  • MLOps and model lifecycle management
  • Data governance, documentation, and reproducibility

Leadership Expectations
  • Acts like an owner and focuses on business value, not just technical elegance.
  • Brings an abundance mindset and collaborates across organizational boundaries.
  • Balances strategic thinking with hands-on execution.
  • Pushes for clarity, rigor, and practical outcomes.
  • Elevates the team through mentorship, standards, and example.
  • Exercises strong judgment around sensitive data, stakeholder alignment, and enterprise constraints.

Sample Responsibilities by Problem Type
  • Build predictive and optimization models that improve yield, quality, throughput, cost, or planning.
  • Develop AI-enabled tools that scale analyst and engineer productivity.
  • Create reusable data products that standardize metrics, reduce manual effort, and improve decision speed.
  • Lead diagnostic and exploratory analyses on complex manufacturing, product, or enterprise datasets.
  • Establish frameworks for model governance, evaluation, and business adoption.

This position is not eligible for visa sponsorship by the Company.
#LI-SM1
MAKE A DIFFERENCE AT QORVO
We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.
We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.
Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.

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