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Remote Senior Data Engineer Jobs in Allen, TX (NOW HIRING)

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable 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

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

IQVIA is growing! Hiring multiple Senior Data Team Leads across our FSP (Functional Service ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS: Exempt Purpose: Data ... General office working conditions can be remote work from home or in the office. Each department ...

Lead Data Engineer - AWS

Dallas, TX · Remote

$104K - $138K/yr

Tiger Analytics is seeking an experienced Senior Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the ...

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101K - $133K/yr

Tiger Analytics is seeking an experienced Senior Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the ...

Refinery Data Engineer

Dallas, TX · Remote

$45 - $47.33/hr

REMOTE 8+ month contract for a Refinery Data Engineer role with a leading oil/energy client. APPLY NOW!!!! Title: Refinery Data Engineer Location: 100% remote-flex with time zones Type: Contract Pay ...

Data Engineer

Dallas, TX · On-site +1

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Engineer

Dallas, TX · On-site +1

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

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 ...

Showing results 21-40

Remote Senior Data Engineer information

See Allen, TX salary details

$75.3K

$117.5K

$162.8K

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

As of Aug 11, 2026, the average yearly pay for remote senior data engineer in Allen, TX is $117,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $133,900.00 per year, depending on experience, location, and employer.

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 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.

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 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.
What are popular job titles related to Remote Senior Data Engineer jobs in Allen, TX? For Remote Senior Data Engineer jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Remote Senior Data Engineer jobs in Allen, TX look for? The top searched job categories for Remote Senior Data Engineer jobs in Allen, TX are:
What cities near Allen, TX are hiring for Remote Senior Data Engineer jobs? Cities near Allen, TX with the most Remote Senior Data Engineer job openings:
Infographic showing various Remote Senior Data Engineer job openings in Allen, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $117,507 per year, or $56.5 per hour.

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Overview

Good Things Start Here.

Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.

Good Things You Can Count On.

  • Hybrid schedule: 2 days remote / 3 inoffice
  • Predictable hours (no nights, weekends, or holidays)
  • Competitive pay + generous PTO
  • Medical, dental & vision starting day one
  • 401(k), tuition reimbursement & longevity bonuses
Responsibilities

We are hiring ahands-on senior level Data Engineer to build trustworthy, well governed data productsand turn them into insights that drive underwriting, claims, product, distribution, and operations for the organization. You will collaborate directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights and clear narratives that influence decisions. You'll context switch comfortably between data & analytic engineering and meeting withbusiness stakeholders to understand their processes and needs. 

What You'll Do:

  • Collaborate closely with cross-functional teams; including Underwriting, Product, Claims, Finance, and Distribution/Operations- to transform business questions into clearly documented requirements and actionable data solutions.
  • Model and publish curated, analysis ready datasets, semantic modelsin Power BI or analytics delivery that illuminate small commercial metrics. 
  • Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges. 
  • Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost. 
  • Follow and implement documentation standards, governance and data quality controls across datasets. 
  • Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability. 
  • Document technical architecture and workflows to support onboarding and reduce risk
  • Apply best practices in data modeling and engineering to create reusable, high-quality data products.
  • Work in an Agile/Scrum environment, contributing to sprint planning, backlog refinement, and demos.
  • Support development and scaling of data products, BI solutions, and AI-driven use cases across business areas.
Qualifications

Required

  • Hands-on experience in data modeling (conceptual, logical, physical), data engineering, analytics engineering, SQL, and Python
  • Bachelor's or Master's degree in Computer Science, IT, or related field
  • 5+ years of data engineering experience, preferably in P&C insurance
  • Experience with Data Mesh (domain ownership and decentralized data products)
  • Strong experience with modern lakehouse platforms (e.g., Microsoft Fabric, Databricks, Snowflake, AWS)
  • Experience building data solutions in cloud environments (Azure preferred; AWS a plus)
  • Familiarity with Azure DevOps (ADO) and CI/CD practices
  • Experience with data transformation, semantic modeling, and BI tools (Power BI, Tableau)
  • Strong analytical and problem-solving skills
  • Experience working in Agile/Scrum environments with product-based delivery
  • Experience delivering end-to-end data, analytics, or AI solutions with business stakeholders
  • Strong communication and collaboration skills

Preferred:

  • Experience with distributed processing frameworks (e.g., Spark)
  • Knowledge of data warehousing concepts and tools
  • Additional programming experience (e.g., Scala)
  • Understanding of data security and compliance
  • Microsoft Fabric certifications (e.g., DP-600, DP-700)
  • Experience with AI agents or multi-agent frameworks for business use cases

*Applicants must be authorized to work in the U.S. without current or future sponsorship*

Salary Range: 

$100,000 - $140,000.

In accordance with applicable pay transparency laws, the above range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

Plano, TX, New York, NY, and/or Scottsdale, AZ

The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.

Employment Type: FULL_TIME