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Remote Data Platform Engineer Jobs in Plano, TX (NOW HIRING)

Flexera Platform Engineer

Dallas, TX · Remote

$132K - $198K/yr

Remote, Hybrid Main Responsibilities Flexera Platform Engineering * Administer, configure, and optimize the Flexera platform ecosystem * Serve as the technical owner for Flexera integrations, data ...

Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus ... Data science experience * Retail experience * SQL Coding, Microsoft Access, Macro building ...

... remote applicants, preferably near major Ardurra offices. Ardurra is a multidisciplinary civil ... Data Platform & Engineering * Design, build, and manage Ardurra's enterprise data platform ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Define and help execute a multi-year data engineering strategy focused on platform scalability ...

New

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ...

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Remote Data Platform Engineer information

See Plano, TX salary details

$42.6K

$124.2K

$169.9K

How much do remote data platform engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data platform engineer in Plano, TX is $124,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $131,600.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

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

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are the most commonly searched types of Data Platform Engineer jobs in Plano, TX? The most popular types of Data Platform Engineer jobs in Plano, TX are:
What are popular job titles related to Remote Data Platform Engineer jobs in Plano, TX? For Remote Data Platform Engineer jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Plano, TX look for? The top searched job categories for Remote Data Platform Engineer jobs in Plano, TX are:
What cities near Plano, TX are hiring for Remote Data Platform Engineer jobs? Cities near Plano, TX with the most Remote Data Platform Engineer job openings:
Infographic showing various Remote Data Platform Engineer job openings in Plano, TX as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,150 per year, or $59.7 per hour.

Customer Data Platform Data Engineer (Remote)

Signet Jewelers Ltd.

Irving, TX • Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago


Signet Jewelers rating

6.9

Company rating: 6.9 out of 10

Based on 299 frontline employees who took The Breakroom Quiz

15th of 29 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

Hours and flexibility

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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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