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Remote Data Engineer Jobs in Mansfield, TX (NOW HIRING)

Data Services Engineer SR

Dallas, TX · On-site +1

$113K - $136K/yr

  • Medical

  • Retirement

  • PTO

Data Engineering and Development: * Design, build, and maintain scalable data pipelines and ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

Energy Engineer

Dallas, TX · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Energy Engineer

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Remote - Dallas, Texas Role/Responsibilities * Lead the data solutions stream within the program ... Subject Matter Expert (SME) level experience in Cloud Engineering, specifically with Databricks ...

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

Ontology Expert - Remote

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data scientists, and AI engineers to translate knowledge into formal models. - Govern ontology ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Ontology Expert - Remote

Dallas, TX · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data scientists, and AI engineers to translate knowledge into formal models. - Govern ontology ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Ontology Expert - Remote

Dallas, TX · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data scientists, and AI engineers to translate knowledge into formal models. - Govern ontology ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Data Architect - Remote / Telecommute

Dallas, TX · Remote

$60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Pay Range $55hr - $60hr Requirement/Must Have: * 12+ years of experience in data architecture, data warehousing, or analytics platform engineering. * Hands-on expertise with Azure Databricks, Delta ...

Showing results 21-40

Remote Data Engineer information

See Mansfield, TX salary details

$39.9K

$116.3K

$159.1K

How much do remote data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data engineer in Mansfield, TX is $116,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $123,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Mansfield, TX?

The most popular types of Data Engineer jobs in Mansfield, TX are:

What are popular job titles related to Remote Data Engineer jobs in Mansfield, TX?

For Remote Data Engineer jobs in Mansfield, TX, the most frequently searched job titles are:

What cities near Mansfield, TX are hiring for Remote Data Engineer jobs?

Cities near Mansfield, TX with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Mansfield, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,254 per year, or $55.9 per hour.

Data Services Engineer SR

Sagent

Dallas, TX • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

Why you'll LOVE Sagent:
You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it!
By choosing Sagent, you can be part of our mission to make loans and homeownership simpler and safer for all consumers.
Sagent powers servicers and consumers. You power Sagent!
Overview:
We are a leading Mortgage Servicing, SaaS-based company that thrives on innovation and excellence. We are currently seeking an experienced Senior Data Services Engineer to design, build, and optimize the data solutions that power our Mortgage Servicing platform. This individual will serve as a technical expert in data engineering, applying strong programming, cloud, and database skills to solve complex business problems and enable data-driven decision making across the organization.
The ideal candidate combines strong software engineering fundamentals with deep expertise in Python, cloud platforms, and database technologies, and brings an understanding of Mortgage Servicing or Financial Services to help ensure technical solutions align with real business and regulatory needs.
Your day-to-day at Sagent:
Data Engineering and Development:
  • Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks.
  • Develop and optimize ETL/ELT processes to extract, transform, and load data from a variety of sources into cloud-based data platforms.
  • Write efficient, well-tested, production-quality code to support data ingestion, transformation, and delivery.

Cloud & Database Engineering:
  • Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration.
  • Design, tune, and maintain relational and NoSQL databases to support high-volume, high-availability data workloads.
  • Monitor and optimize database and pipeline performance, troubleshooting issues to ensure reliability and scalability.

Data Analysis and Insight Generation:
  • Utilize advanced data preparation, modeling, analysis, and visualization techniques to extract insights and knowledge from data.
  • Investigate complex business problems and provide actionable, data-driven insights to support strategic decision-making.

Technical Leadership and Collaboration:
  • Serve as a technical leader, providing guidance and mentorship to junior engineers in data engineering and analysis best practices.
  • Collaborate with cross-functional teams - including Product Management, Business Analysts, and Software Engineering - to design and implement data-driven solutions.

We would love to hear from you if you have:
  • Completion of a four-year college degree in a relevant discipline with 4 years of experience in a related field, or completion of an advanced degree (Masters or higher) in an applicable and relevant field, or equivalent experience will be considered in lieu of a degree.
  • Strong proficiency in Python for data engineering, automation, and analysis including object-oriented design, modular application development, and production-quality coding practices.
  • Experience designing & developing Python based backend services with any of FastAPI/Flask/Django
  • Solid experience on Object oriented practices, APIs, database integrations and dependency management.
  • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), including their core data and storage services.
  • Solid experience with relational and/or NoSQL databases, including schema design, query optimization, and performance tuning.
  • Proven experience building and maintaining ETL/ELT pipelines and data workflows.
  • Experience in Mortgage Servicing or Financial Services, with an understanding of how technical solutions support business and regulatory needs.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and the ability to collaborate effectively across technical and business teams.

Additional Skills/Technical Knowledge Preferred:
  • Experience with big-data technologies such as Databricks, Spark, or Dataproc.
  • Familiarity with data warehouse platforms (e.g., Snowflake, Redshift, or BigQuery).
  • Working knowledge of additional programming languages such as Java, R, Ruby, Scala, or C++.
  • Experience with CI/CD, containerization (Docker/Kubernetes), and infrastructure-as-code.
  • Knowledge of a mortgage servicer's typical technology ecosystem including servicing systems, default systems, workflow management, data integrations, and data warehouses.
  • Experience supporting Agile software development teams.

#LI-AN1
Perks!
As a Sagent Associate, you will be eligible to participate in our benefit programs beginning on Day #1! We offer a comprehensive package including Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning Services, Tuition Reimbursement, Paid Family Leave, 401(k) Matching, Pet Insurance, In-person and Virtual Social Experiences, Career Pathing, Focus Time Fridays and much, much more!
Why Sagent?
Sagent is transforming the mortgage servicing industry by bringing the modern experience customers now expect from loan originations to loan servicing. Our platform lets customers manage their home-owing lives from anywhere while giving servicers lower costs, scale compliance and higher servicing values through full market cycles.
Sagent is a joint venture that combines Fiserv Inc.'s decades of market-leading fintech expertise with Warburg Pincus' skill in growing technology companies. We hire innovators and doers to disrupt the last and most complex frontier of lending and housing. We're growing fast and need you to help shape our future.
Sagent is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.