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Remote Senior Data Engineer Jobs in Texas (NOW HIRING)

Hermitage Infotech

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Senior Data Engineer Location: Dallas, TX or Mountain View, CA Duration: Long Term Contract As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Kobie Marketing

Sr. Data Engineer

Dallas, TX · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Billee Technologies, Inc

Senior Data Engineer

Dallas, TX · On-site +1

$98K - $133K/yr

Senior Data Engineer At Billee , we're building the next generation of utility billing. Our goal is simple: make a complex, manual, and fragmented process feel seamless, transparent, and intelligent.

IQVIA

Senior Data Engineer,Digital

Austin, TX · Remote

$91K - $228K/yr

As a Senior Data Engineer, you'll lead the design of scalable data solutions, mentor talented engineers, and work on projects that truly make an impact. Join a global team that values innovation ...

New

Lantern

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

You'll work alongside a senior data engineer and collaborate across a small, high-output team to ... This is a fully remote position. Face to face communication is important to us, so we have ...

Stryker

Senior Lead Data Engineer (Remote)

Dallas, TX · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives ...

TriOptus LLC

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

HEB

Senior Data Engineer (Austin, or Dallas)

Austin, TX · Remote

$105K - $142K/yr

As a Senior Data Engineer, you'll use an advanced analytical, data-driven approach to drive a deep understanding of our fast-changing business and answer real world questions. You'll work with ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

Sagent

Data Services Engineer SR

Dallas, TX · On-site +1

$113K - $136K/yr

We are currently seeking an experienced Senior Data Services Engineer to design, build, and ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

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Remote Senior Data Engineer information

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 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 are popular job titles related to Remote Senior Data Engineer jobs in Texas? For Remote Senior Data Engineer jobs in Texas, the most frequently searched job titles 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:
Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Hermitage Infotech

Dallas, TX • On-site, Remote

$104K - $142K/yr

Full-time

Re-posted yesterday

Job description

Please go through the below req and reply me back with your updated resume,minimum expected hourly rate, visa status, related visa copy, DL copy and let us know your availability. I have an urgent position for Sterling B2B Developer. Please fill up all the details including your linked in ID so that I can submit your resume to my client for further process. Please email the resume to varma@hermitageinfotech.com
Role: Senior Data Engineer
Location: Dallas, TX or Mountain View, CA
Duration: Long Term Contract
As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines, data serving, data lakehouse, and analytics systems, enabling mission critical decision making, downstream, AI-powered capabilities, and more.
If you're passionate about building data infrastructure and platforms that power modern Data- and AI-driven business at scale, we want to hear from you!
Your Day
  • Partner with Data Science, Product, and Engineering to collect requirements to define the data ontology for Mail Data & Analytics
  • Lead and mentor junior Data Engineers to support Mail's ever-evolving data needs
  • Design, build, and maintain efficient and reliable batch data pipelines to populate core data sets
  • Develop scalable frameworks and tooling to automate analytics workflows and streamline users interactions with data products
  • Establish and promote standard methodologies for data operations and lifecycle management
  • Develop new or improve and maintain existing large-scale data infrastructures and systems for data processing or serving, optimizing complex code through advanced algorithmic concepts and in-depth understanding of underlying data system stacks
  • Create and contribute to frameworks that improve the efficacy of the management and deployment of data platforms and systems, while working with data infrastructure to triage and resolve issues
  • Prototype new metrics or data systems
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Develop complex queries, very large volume data pipelines, and analytics applications to solve analytics and data engineering problems
  • Collaborate with engineers, data scientists, and product managers to understand business problems, technical requirements to deliver data solutions
  • Engineering consulting on large and complex data lakehouse data

Must Have
  • BS in Computer Science/Engineering, relevant technical field, or equivalent practical experience, with specialization in Data Engineering
  • 8+ years of experience building scalable ETL pipelines on industry standard ETL orchestration tools (Airflow, Composer, Oozie) with deep expertise in SQL, PySpark, or scala.
  • 5+ years leading data engineering development directly with business or data science partners

Varma | Sr. IT Recruiting Manager l 732-338-7524(D) | (F) 732-289-6103
Hermitage Info Tech, LLC | www.hermitageinfotech.com
200 Centennial Ave, Suite # 153 Piscataway, New Jersey 08854

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