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Data Services Engineer Jobs (NOW HIRING)

Sagent

Data Services Engineer SR

Austin, TX · On-site +1

$113K - $136K/yr

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 ...

Comtech, LLC

Cloud Data Services Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Cloud Data Services Engineer Location : Tempa, FL I Remote options for ( Chicago, NYC , CT , Dallas or Nashville ) Duration: Permanent (Full-Time), Open for C2H The Client Solutions group reports to ...

Sagent

Data Services Engineer SR

Austin, TX

$113K - $136K/yr

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 ...

Comtech, LLC

Cloud Data Services Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Cloud Data Service Engineer Job Location : Tampa FL, Remote options for ( Chicago, NYC ,CT ,Dallas, Nashville ) Duration : Permanent (Full-Time), Open for C2H The Client Solutions group reports to ...

Comtech, LLC

Cloud Data Services Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

... DevOps team members. Plan and document procedures, and coordinate CloudData Serviecs activities . Be active in evaluating and recommending newCloud Data Services technologies including updates ...

Catalist

Data Services Intern

Washington, DC · Remote

$20/hr

As a Data Services Engineer (DSE) Fellow at Catalist, you will support the Data team by completing well-defined, high-volume work items: monitoring an inbox for incoming requests, running a set of ...

New

VAST Data

Professional Services Engineer

Camden, NJ · On-site

Professional Services Engineer VAST Data is looking for a Professional Services Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure ...

VAST Data

Professional Services Engineer

Camden, NJ · On-site

Professional Services Engineer VAST Data is looking for a Professional Services Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure ...

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All JobsData Services Engineer Jobs

Data Services Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data services engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data services engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data services engineer?

Data Services Engineers are professionals who design, build, and maintain systems that manage, process, and deliver data across an organization. They work with databases, data pipelines, and cloud platforms to ensure reliable data access for analytics and business operations. Their responsibilities often include data integration, data quality assurance, and supporting data-driven applications. Data Services Engineers collaborate closely with data scientists, analysts, and software engineers to support the organization's data infrastructure needs.

What are some typical challenges data services engineers encounter when managing large-scale data pipelines?

Data Services Engineers often face challenges related to maintaining data integrity and optimizing pipeline performance as data volumes grow. Ensuring that data flows smoothly between different systems, handling schema changes, and minimizing downtime during updates are common hurdles. Collaboration with data analysts, data scientists, and DevOps teams is crucial to troubleshoot issues and implement best practices. Staying up to date with evolving technologies and automating routine tasks can help address these challenges efficiently.

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

To thrive as a Data Services Engineer, you need expertise in database management, data integration, and strong programming skills, typically supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, attention to detail, and effective communication distinguish top performers in this role. These capabilities ensure efficient data operations, robust system performance, and seamless collaboration across technical and business teams.

What is the difference between Data Services Engineer vs Data Engineer?

AspectData Services EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or Google CloudBachelor's in CS, Software Engineering, or related; similar cloud certifications
Work EnvironmentFocus on data integration, ETL processes, and data pipeline managementDesign, build, and maintain data architecture and pipelines
Employer & Industry UsageUsed in data-driven companies, analytics teams, cloud service providersCommon in tech firms, finance, healthcare, and any organization with large data needs

While both roles involve working with data pipelines and cloud platforms, Data Services Engineers primarily focus on data integration, ETL processes, and ensuring data accessibility. Data Engineers tend to design and develop the overall data architecture and infrastructure. The roles often overlap, but the Data Services Engineer is more specialized in data delivery and integration tasks.

More about Data Services Engineer jobs

What cities are hiring for Data Services Engineer jobs?

Cities with the most Data Services Engineer job openings:

What job categories do people searching Data Services Engineer jobs look for?

The top searched job categories for Data Services Engineer jobs are:

Data Services Engineer jobs near you
Infographic showing various Data Services Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Services Engineer SR

Sagent

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 21 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.

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