Data Engineer

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NEWITY

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💸 Finance

💳 Fintech

🤝 B2B

Finance • Fintech • B2B

NEWITY is a leading facilitator of SBA 7(a) loans, offering small business loans up to $500,000. With a focus on streamlining the loan application process, NEWITY has helped over 120,000 businesses access more than $11. 4 billion in funding, significantly reducing the time required to secure capital compared to traditional means. The company works in partnership with Northeast Bank, a participant in the SBA’s 7(a) loan program, to provide small businesses with the financial support they need to grow and succeed. NEWITY is committed to providing an easy and fast way for small businesses to access the funds they need, often achieving loan approvals in a fraction of the time typically expected from other lenders.

📋 Description

• Own pipeline and infrastructure work from intake through production • Build and maintain ingestion and transformation pipelines from operational systems, third-party APIs, and event streams into the warehouse • Turn product and business requirements into specifications and well-modeled datasets • Write and maintain Terraform for the AWS resources your pipelines run on • Use CI/CD to ship pipeline and infrastructure changes safely and often • Build data quality checks, unit tests, and integration tests for the pipelines you own • Use modern tooling, including AI assistants, to move faster on development, testing, and documentation • Build datasets and reporting layers for product features, BI, and operational reporting • Work with Product, Engineering, Operations, Sales, and Compliance so data solutions actually fit the downstream use case • Write the runbooks and documentation that on-call teammates and stakeholders will rely on • Watch your pipelines in production and fix issues before someone has to ask • Keep up with what is changing in data engineering, cloud infrastructure, and fintech compliance

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field • 3-5 years of professional data or backend engineering experience with a clear data focus • Hands-on experience building batch and/or streaming pipelines that run in production • Working knowledge of AWS data services (S3, RDS, Lambda, Glue, ECS, EventBridge, IAM) • Familiarity with Terraform for managing AWS infrastructure • Experience with CI/CD for data and application deployments • Strong SQL and at least one general-purpose language (Python preferred) • Experience with a modern data warehouse such as Snowflake, Redshift, BigQuery, or Databricks • Working understanding of dimensional modeling, ELT, and data quality basics • Clear writing for runbooks, design notes, and PR or Slack communication • Ability to manage multiple priorities and work with non-engineering partners • Interest in fintech and the data-handling rules that come with it (preferred)