Senior Data Engineer, Finance

SoFi; New York (NY); On-site; USD 124,000 - 234,000; Full time

Job summary

A leading financial services company is seeking a Senior Data Engineer for its Finance BI & Systems team in New York. This role involves designing and maintaining data pipelines, managing a Snowflake data warehouse, and optimizing data for financial analytics. Ideal candidates will have significant experience in data engineering, a strong foundation in programming, and excellent communication skills to collaborate with finance teams. Competitive salary and benefits are offered to the right candidate.

Qualifications

• 5+ years of hands-on experience in data engineering.
• Proficiency with core data engineering technologies.
• Strong analytical and problem-solving abilities.

Responsibilities

• Design and maintain scalable data pipelines (ETL/ELT).
• Collaborate with Finance stakeholders for data solutions.
• Implement data governance policies to ensure quality.

Skills

Data Engineering

Data Warehousing

Python

SQL

Airflow

GitLab

Analytical Skills

Education

Bachelor's degree in Computer Science, Data Science, Engineering

Tools

Snowflake

AWS

PostgreSQL

Job description

Join to apply for the Senior Data Engineer, Finance role at SoFi

Join to apply for the Senior Data Engineer, Finance role at SoFi

This range is provided by SoFi. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$124,800.00/yr - $234,000.00/yr

Employee Applicant Privacy Notice

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.

The Role:

We are seeking a talented, enthusiastic, and detail-focused Senior Data Engineer to join our Finance BI & Systems team. In this pivotal role, you will take on significant data challenges, designing, building, and optimizing the data infrastructure that powers our financial reporting and automation. You will manage our Snowflake data warehouse and develop robust, scalable ETL/ELT pipelines. This role is perfect for someone passionate about data, with a strong engineering mindset, and a keen interest in applying these skills within the financial domain to drive efficiency and insight.

What you’ll do:

• Design, develop, and maintain scalable and reliable data pipelines (ETL/ELT) to ingest, process, and transform financial data from various sources into our Snowflake data warehouse.
• Develop and optimize data models within Snowflake to support financial reporting, business intelligence, forecasting, and advanced analytics needs.
• Act as a subject matter expert for Snowflake within the Finance team
• Collaborate closely with Finance stakeholders (including FP&A, Accounting, and Strategic Finance), BI analysts, and other engineering teams to understand data requirements and deliver high-quality data solutions.
• Build and support foundational data sets and data products that empower self-service analytics and reporting for the Finance team.
• Implement and enforce data governance policies and best practices to ensure data quality, integrity, security, and compliance.
• Write clear, maintainable code and comprehensive documentation for data pipelines and processes.
• Troubleshoot and resolve data-related issues in a timely manner, ensuring minimal disruption to financial operations.
• Contribute to the continuous improvement of our data engineering standards, tools, and processes.
• Operate effectively as part of a team while also demonstrating the ability to work independently, managing relationships, deliverables, and expectations with your business partners.
• Possess strong interpersonal skills, being personable, approachable, and able to connect effectively with individuals across the team and throughout the business.
• Remain detail-oriented while working across a wide variety of projects.
  
  
  

What you’ll need:

• A Bachelor's degree in Computer Science, Data Science, Engineering, a related technical field, or equivalent practical experience.
• 5+ years of hands-on experience in data engineering, with a focus on building and maintaining data warehouses and ETL/ELT pipelines.
• Proficiency in core data engineering technologies, including:
• Data Warehousing: Snowflake (primary), experience with PostgreSQL.
• Programming/Scripting: Python, SQL.
• ETL/ELT & Orchestration: Airflow, dbt, and experience with tools like MuleSoft, Fivetran, or similar.
• Cloud Platforms: AWS.
• Version Control/CI/CD: GitLab.
• 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.
• Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences, particularly within a finance context.
• Demonstrated ability to work collaboratively in a fast-paced, agile environment.
• A proactive and detail-oriented approach to your work.
  
  

Strong Plus:

• Experience working directly with financial data (e.g., general ledger, financial planning, transactions).
• Experience deploying resources using Infrastructure as Code - IaC tools (i.e. Terraform)
• Familiarity with Finance ERP systems (e.g., Workday, NetSuite) and Financial Planning & Analysis (FP&A) tools (e.g., TM1/Planning Analytics).
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Experience in the Fintech or banking industry.
  
  
  

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 SoFi page!

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.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [e-mail].

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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