Job Application for Sr. Data Engineer at Wisetack

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Since 2018, Wisetack has been building transparent and intuitive consumer lending products that help service-based businesses thrive (think HVAC companies, veterinarians, or auto repair shops).

Our leadership team comes from top fintech companies such as Lending Club, Affirm, and Varo Money. And we’re backed by leading VCs, including Insight Partners, Greylock, Quadrille, and Bain Capital Ventures (investors in Airbnb, LinkedIn, Instagram, Dropbox, and more).

Having raised $84M, we’re a well-funded startup and have invested in people and technology while growing our partnerships — responsibly.

We’re also proud to have received recognition from the fintech world. Awards we’ve won include:

Ranked #21 on 2024 Inc. 5000 based on revenue growth
Ranked #15 on 2024 Deloitte Fast 500 based on revenue growth
2024 Best Embedded Finance Solution for Banking Tech Awards
2023 Best Consumer Lending Program by Tearsheet
2023 Best Point of Sale Product by Fintech Breakthrough

But what you’ll find us gleaming about the most is the recognition from our own customers, particularly our sky-high NPS rating of 79. (For reference, the average score is 44 for financial services and 36 for SaaS companies.)

As a result of our efforts in building this healthy company culture, we’ve been nominated to several Great Places to Work lists, such as Best Small Workplaces, Best Workplaces in the Bay Area, and Best Workplaces in Financial Services & Insurance.

Like any startup, we’re in it for the long haul, and we’re looking for people willing to join our journey of building something special together.

This process starts with our company values, which guide us in everything we do — and have played a critical role in our success. We valiantly abide by them, and would expect you to do the same:

Put customers first (that’s our M.O.)
Act fast (leverage our startup environment).
Lead the way (show and tell).
Take ownership (everyone is hands-on here).
Be a good human (no egos, build financial products that do right by people).

Learn more about our values here.

Our Engineering Team Principles

Everyone is an engineer. No matter what their title is, everyone contributes to the code. Everyone delivers.

Initiative and ownership. We want every team member to lead the work they do. Design the best solutions and implement them. Ask for help from others when you need it.

One team. We are low ego and support each other.

Learning and growth. We believe growth is a huge motivator. We want everyone on the team to have an opportunity to learn and grow in their career. If you are smart and want to learn, you should be with us even if you don't have all the skills we need at the moment.

Check out this post from our blog where we go into more detail about these principles.

The Role

We are looking for a Sr. Data Engineer to join our growing Data Engineering Team. You’ll help evolve Wisetack’s data platform, which powers analytics, reporting, and operational data products across the company. Our platform includes Airbyte for ingestion, dbt for modeling, Athena for querying, Census for reverse ETL, and Dagster for orchestration.

Responsibilities

Build and maintain data pipelines that bring together internal and external sources.
Contribute to dbt transformations, ensuring reliable, well-tested datasets for analytics and downstream consumers.
Support operational data delivery via Dagster, configuring data models to be distributed across Slack, S3, and other delivery channels.
Collaborate with engineering and business teams across the organization to make data accessible and useful.
Ensure data quality, freshness, and documentation across the platform.
Participate in code reviews, design discussions, and Agile ceremonies, contributing to a culture of continuous improvement.

Requirements

3+ years of professional experience with SQL and Python for data processing.
3+ years of professional experience with dbt for modeling and transformations.
Experience with ingestion/integration tools (Airbyte, Fivetran, Stitch, or similar).
Familiarity with data orchestration frameworks such as Dagster, Airflow, or Prefect.
Familiarity with version control (GitLab or similar) and Agile workflows.
Strong communication skills, with the ability to work cross-functionally.

Bonus points

Exposure to BI tools such as Tableau, Metabase, or similar.
Experience with reverse ETL tools such as Census.
Experience with financial data and financial services data pipelines.
Knowledge of data governance, cataloging, and lineage practices.
Familiarity with the AWS data stack (S3, Athena, Glue, Lake Formation, DynamoDB, Lambda, etc.).
Interest in machine learning pipelines or advanced analytics.
Exposure to Infrastructure-as-Code tools such as Terraform, Pulumi, or AWS CloudFormation.
Exposure to containerization technologies such as Docker.

Conclusion

The range of base salary for the position is between $120,000-$180,900, plus equity, and benefits. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level and competencies.

Spend a little time on our About Us page and check out our Press page and our blog for more. If you think this might be a fit, we’d love to hear from you!

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