Data Services Engineer SR

United States Digital Space LLC; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote/Hybrid workplace options

Health Benefits

Tuition Reimbursement

Paid Family Leave

401(k) Matching

Pet Insurance

In-person and Virtual Social Events

Career Pathing

Focus Time Fridays

Job summary

United States Digital Space LLC is a leading Mortgage Servicing, SaaS-based company seeking a Senior Data Services Engineer to design, build, and optimize data solutions powering our Mortgage Servicing platform. You will apply Python, cloud, and database expertise to enable data-driven decisions across the organization.

You will lead data pipelines, ETL/ELT processes, and collaborate with product, analytics, and software teams.

Qualifications

• Completion of a four-year college degree in a relevant discipline with 4 years of experience in a related field, or an advanced degree in applicable field, or equivalent experience.
• Strong proficiency in Python for data engineering, automation, and analysis including OO design and production-quality coding practices.
• Experience designing & developing Python-based backend services with FastAPI/Flask/Django.
• Solid experience with APIs, database integrations and dependency management.
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and core data services.
• Solid experience with relational and/or NoSQL databases; schema design and performance tuning.
• Proven experience building and maintaining ETL/ELT pipelines and data workflows.
• Experience in Mortgage Servicing or Financial Services with regulatory understanding.
• Strong analytical and problem-solving skills; excellent cross-functional communication.

Responsibilities

• Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks.
• Develop and optimize ETL/ELT processes to load data into cloud-based data platforms.
• Write production-quality, well-tested code for data ingestion, transformation, and delivery.
• Architect and implement data solutions on cloud platforms (AWS/Azure/GCP) with managed services.
• Design, tune, and maintain relational and NoSQL databases for high-volume workloads.
• Monitor and optimize data pipelines for reliability and scalability; troubleshoot issues.
• Mentor junior engineers and provide guidance on data engineering best practices.
• Collaborate with Product, Analytics, and Software teams to implement data-driven solutions.

Skills

Python

ETL/ELT

Cloud platforms

Data pipelines

Databases

Leadership

Communication

Education

Bachelor's degree

Master's degree

Tools

Databricks

Spark

Dataproc

Snowflake

Redshift

BigQuery

Docker

Kubernetes

CI/CD

Job description

Why you'll LOVE the company:

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 the company, you can be part of our mission to make loans and homeownership simpler and safer for all consumers.

the company powers servicers and consumers. You power the company!

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 the company:

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.

Perks!

As a the company 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 the company?

the company 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.

the company 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.

*the company 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.*