Senior Data Services Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, and uphold scalable data pipelines and services utilizing Python along with contemporary data engineering frameworks.

• Construct and enhance ETL/ELT processes to extract, transform, and load data from diverse sources into cloud-based data platforms.

• Produce efficient, thoroughly tested, production-grade code to facilitate data ingestion, transformation, and delivery.

• Design and implement data solutions on cloud platforms (such as AWS, Azure, or GCP), making use of managed services for storage, computation, and orchestration.

• Plan, optimize, and manage relational and NoSQL databases to accommodate high-volume, high-availability data workloads.

• Monitor and enhance database and pipeline performance, addressing issues to ensure reliability and scalability.

• Leverage advanced data preparation, modeling, analysis, and visualization techniques to derive insights and knowledge from data.

• Analyze complex business challenges and deliver actionable, data-driven insights to facilitate strategic decision-making.

• Act as a technical leader, offering guidance and mentorship to junior engineers in data engineering and analytical best practices.

• Work collaboratively with cross-functional teams — including Product Management, Business Analysts, and Software Engineering — to design and execute data-driven solutions.

⛳️ Requirements

• A four-year college degree in a relevant field with 4 years of experience in a related area, or an advanced degree (Masters or higher) in an applicable field, or equivalent experience may be considered in place of a degree.

• Strong expertise in Python for data engineering, automation, and analysis, encompassing object-oriented design, modular application development, and production-quality coding standards.

• Experience in designing and developing Python-based backend services utilizing FastAPI, Flask, or Django.

• Solid background in object-oriented practices, APIs, database integrations, and dependency management.

• Practical experience with at least one major cloud service provider (AWS, Azure, or GCP), including their primary data and storage services.

• Comprehensive experience with relational and/or NoSQL databases, including schema design, query optimization, and performance enhancement.

• Documented experience in constructing and maintaining ETL/ELT pipelines and data workflows.

• Background in Mortgage Servicing or Financial Services, with an understanding of how technical solutions address business and regulatory requirements.

• Strong analytical and problem-solving capabilities.

• Exceptional communication skills and the ability to collaborate effectively across both technical and business teams.

🏝️ Benefits

• 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