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Remote Senior Data Engineer Jobs in Texas (NOW HIRING)

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

... Analyze data engineering problems and develop, build and manage large-scale data structures ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

Data Engineer Denodo

Irving, TX · Remote

$109K - $132K/yr

Overview We are looking for a Senior Denodo Data Engineer with hands-on experience designing, developing, and supporting data virtualization and logical data-management solutions. The ideal candidate ...

Senior Data Product Manager

Crystal City, TX · On-site +1

$110K - $145K/yr

Leads collaboration with a cross-functional team of data engineers, analytics engineers, BI ... remote candidates across the U.S., we will prioritize those who live in the Washington-Baltimore ...

Showing results 41-60

Remote Senior Data Engineer information

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Senior Data Engineer jobs in Texas?

The most popular types of Senior Data Engineer jobs in Texas are:

What job categories do people searching Remote Senior Data Engineer jobs in Texas look for?

The top searched job categories for Remote Senior Data Engineer jobs in Texas are:

What cities in Texas are hiring for Remote Senior Data Engineer jobs?

Cities in Texas with the most Remote Senior Data Engineer job openings:

Infographic showing various Remote Senior Data Engineer job openings in Texas 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.

Customer Data Platform Data Engineer (Remote)

Signet Jewelers Ltd.

Irving, TX • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago


Signet Jewelers rating

6.9

Company rating: 6.9 out of 10

Based on 299 frontline employees who took The Breakroom Quiz

16th of 30 rated jewelry retailers


Job description

We have many opportunities available on our other career site pages. Click here to link to our careers page!
Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us!
Customer Data Platform Data Engineer
Remote
POSITION SUMMARY:
We are seeking a highly skilled Data Engineer with deep expertise in SQL, Python, and data modeling, and strong experience designing solutions within the Adobe Experience Platform (AEP) and Real-Time Customer Data Platform (RTCDP) ecosystem. This role is critical to building scalable, reliable, and performant data pipelines that power customer analytics, personalization, and activation use cases.
The ideal candidate combines strong technical execution with thoughtful solution design, collaborating closely with analytics, marketing, and engineering teams to translate business requirements into robust data architectures.
RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines to ingest, transform, and curate data within Adobe AEP and RTCDP.
  • Develop and optimize complex SQL queries and data transformations for large-scale datasets.
  • Design and maintain data models (conceptual, logical, and physical) that enable efficient analytics, segmentation, and activation use cases.
  • Experience working with AWS data services such as S3, Redshift, Glue, and related tooling, including building and managing data pipelines from AWS-based source systems into Adobe AEP and RTCDP.
  • Architect end-to-end solution designs leveraging AEP components such as XDM schemas, datasets, identities, profiles, and segmentation.
  • Ensure high data quality, consistency, and governance across systems by implementing validation, monitoring, and error-handling mechanisms.
  • Collaborate with business stakeholders, architects, and downstream consumers to understand requirements and deliver scalable data solutions.
  • Tune performance and optimize pipelines for real-time and batch workloads within RTCDP.
  • Document data architecture, data flows, and operational procedures.
  • Support integrations with upstream and downstream systems including CRM, web/mobile, and other MarTech and analytics platforms.
  • Demonstrated experience implementing data processing, automation, validation, and orchestration logic.
  • Follow best practices for security, privacy, and compliance (PII handling, consent, and identity resolution).

POSITION QUALIFICATIONS:
  • Expert-level SQL skills, with experience writing and optimizing complex queries.
  • Strong Python programming experience for data engineering use cases.
  • Proven experience as a Data Modeler, including dimensional and analytical data modeling.
  • Hands-on experience designing and implementing solutions in:
    • Adobe Experience Platform (AEP)
    • Adobe Real-Time Customer Data Platform (RTCDP)
  • Experience with cloud data platforms (e.g., Snowflake, BigQuery, Azure, or AWS).
  • Solid understanding of XDM schemas, datasets, identity stitching, profiles, and segmentation.
  • Experience building batch and real-time data pipelines.
  • Strong problem-solving and analytical skills.
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.

Preferred Qualifications:
  • Familiarity with streaming or event-based data architectures.
  • Experience with data orchestration tools and CI/CD practices.
  • Knowledge of customer data, marketing technology, and personalization use cases.
  • Prior experience in enterprise-scale data environments.

BENEFITS & PERKS:
  • Competitive healthcare, dental & vision insurance
  • 401(k) matching after one year of employment
  • Generous time off + company holidays
  • Merchandise discount
  • Learning & Development programs
  • Much more!

The salary range for this opportunity is $120,000 - $150,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.

What Signet Jewelers employees say

Pay

Benefits

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About Signet Jewelers

Sourced by ZipRecruiter

At Kay, we know that love is unstoppable. Which is why we're devoted to helping customers Celebrate Life and Express Love in ways every bit as dynamic as they are memorable. From classic must-haves to the latest trends, our selection of quality, responsibly-sourced jewelry has become part of so many love stories over the last century. Kay Jewelers is part of Signet Jewelers, a purpose-driven company who believes love inspires love. Signet is also "Great Place to Work-Certified"™. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Akron, OH, US

Year founded

1949

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