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Senior Data Engineer

SoFi • Seattle, Washington State, United States • $124.80k - $234k / year • 1d ago

Description

Position at SoFi

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Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

SoFi is seeking an experienced and motivated Senior Data Engineer to be part of our Data Platform group within the Data Enablement division. The mission of the Data Enablement division is to activate data throughout SoFi, enabling the creation of personalized and delightful experiences for our members.

As a Senior Data Engineer, you will help achieve the vision and strategy to build foundational and critical data platform products which are highly leveraged across SoFi for analytical, reporting, and self-serve use-cases. Our mission is to build frameworks, features, strategies and platform level capabilities that will drive teams to perform self serve analytics, gain insights and increase data driven decisions for all of Sofi product

Role:

A talented, enthusiastic, and detail-oriented experienced Data Engineer who knows how to take on big, data challenges in an agile way. This includes data design and analysis, data modeling, development, deployment, and operations of data pipelines and platforms.
Builds and leads development of critical SoFi’s data platform features, Semantic Layer, BI initiatives, Operational experience enhancements and expands data knowledge in the team.
Act as a subject matter expert for data platform capabilities that can be leveraged across SoFi for analytical, reporting, ML/AI self-service use-cases.
Has deep understanding of data, analytical techniques, how to connect insights to the business, and practical experience in insisting on highest standards on operations in data platform capabilities and data pipelines.
This role requires you to live at the cross section of data and software engineering.

What you’ll do

Design, develop, test, deploy and debug robust data solutions that can scale horizontally and vertically.
Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data platform features for self serve analytics, Semantic Layer and BI initiatives
Build and optimize Operational experience for systems and processes to run efficiently.
Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements, influence best practices upstream and down, and deliver solutions that meet business needs.
Effectively communicate complex technical concepts and trade offs to non-technical stakeholders and senior management verbally and in well written technical documents.
Enforce data governance policies and practices to maintain data integrity, data quality, security and compliance with relevant regulations.
Provide technical leadership and strategic guidance on feature building and development.
Provide mentorship and guidance to the team, fostering a culture of continuous learning, innovation, and excellence.
Contribute to hiring and training efforts to build a skilled and motivated data engineering workforce.
Be part of an on-call team rotation to support the SoFi Data Platform capabilities

What You'll Need:

A Bachelor’s degree in computer science, Data Science, Engineering, or a related field.
Over 5 years of hands-on experience in data engineering and analytics, with a proven track record of successfully building data pipelines and data platforms.
Strong programming skills in Python, SQL and/or another data centric language.
Proficiency in data engineering tech stack; Snowflake/GitLab/AWS/Airflow/DBT etc
Broad proficiency in relational database platforms and significant experience with cloud data warehouse platforms such as Snowflake, and familiarity with others like Redshift, or Google BigQuery
Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans with a detail-oriented approach to your work.
Thorough knowledge and passion around data modeling, database design, data architecture principles, and data operations.
Experience with data visualization tools (e.g., Tableau, Power BI)
Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences.
Good to have experience in building/deploying resources using Infrastructure as Code - IaC tools (like Terraform)
Good understanding of AI and its usage
Experience in a highly regulated and governed sector, though the Fintech industry is advantageous.

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFipage!

Pay range: $124,800.00 - $234,000.00

Payment frequency: Annual

This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.