Senior Data Engineer, Entity Resolution Team

Enigma Technologies; Los Angeles (CA); On-site; Confidential; Full time

Benefits offered by this job

Equity

Competitive compensation package

Job summary

Enigma Technologies in Los Angeles is seeking a Senior Data Engineer to join the Entity Resolution team and shape the trajectory of our next generation BI products. You will design, build, and maintain core data capabilities starting from raw sources to scalable pipelines and customer interfaces.

You will work with Databricks SQL, PySpark, and MLFlow on a modern data platform, collaborate across teams, and own end-to-end data solutions.

Qualifications

• 5+ years of engineering or data science experience
• 3+ years working on distributed data systems
• Experience extracting value from data to deliver customer impact
• Bias towards simple, elegant solutions while implementing state-of-the-art models when required
• Strong collaboration in cross-functional environments

Responsibilities

• Understand customer needs and create data capabilities to address them.
• Engineer scalable data systems that tell the story of millions of U.S. small businesses using Databricks SQL, PySpark, MLFlow.
• Build on a modern data infrastructure (Dagster for orchestration and LakeFS for data versioning).
• Apply a data-focused, first-principles approach to problem solving and iterate quickly.
• Foster a collaborative, high-performance team culture.

Skills

Distributed data systems

Data engineering

Python

Spark

Collaboration

Tools

Databricks

Databricks SQL

PySpark

MLFlow

Dagster

LakeFS

Job description

The Opportunity

This is an exciting time at Enigma. We’re on the cusp of releasing our next generation of small business intelligence products built on years of learnings in the space. We are seeking an experienced Senior Data Engineer to join our Entity Resolution team and help shape the trajectory of these products. Your work will directly impact the accuracy, scalability, and predictive capabilities of our data platform, influencing key business decisions for our customers.

The Role

As a Senior Data Engineer on the Entity Resolution Team, you will be responsible for designing, building, and maintaining our core small business data product. You will collaborate with cross-functional teams to build out new product capabilities starting from raw source data, through scalable data pipelines and models to the customer interface. We embrace customer focus and end-to-end ownership so your impact will be measured by the value we deliver and the technical quality and maintainability of our product.

What You’ll Do

• Understand the unmet needs of our customers and create capabilities to address these. This usually involves a process of exploring data, prototyping, and evaluation, followed by the build of robust and maintainable data pipelines.
• Engineer scalable and maintainable data systems that tell the story of millions of U.S. small businesses (we use Databricks SQL, PySpark, and MLFlow).
• You’ll be building on top of our innovative data infrastructure that’s designed for iteration and experimentation (uses Dagster for orchestration and LakeFS for data versioning).
• Apply a data-focused, first-principles approach to problem solving. We value candidates who bias towards simple and elegant solutions but have the capability to implement state-of-the-art models and techniques when required.
• Inspire your teammates to perform at their best while fostering a collaborative, supportive team culture.

What Makes This Role Exciting?

• Ownership and Impact: Work directly with customers and internal teams to build product capabilities in an environment of high-trust and responsibility.
• Technical Challenge: Tackle complex data and engineering problems, balancing speed of innovation with scalability and reliability.
• Learning: Work on unique, high-impact data challenges that require creative problem-solving and cutting-edge techniques.

Our Ideal Candidate

• Must have 5+ years of engineering or data science experience, including 3+ years working on distributed data systems.
• Has practical experience extracting value from data in a creative way to deliver customer impact.
• Cares deeply about creating value and wants to learn, ship, and iterate quickly.
• Strong collaboration skills and a desire to work in a cross-functional environment.
• A principled, metrics-driven approach to solving complex data problems.

Bonus Points If You

• Have built data products in the entity resolution, sales, marketing, KYB, or credit underwriting space.
• Prior experience in Python, Spark and Databricks.

About Us

At Enigma, we’re building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values - generosity, curiosity, ingenuity, & drive - guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We’re a team of curious, driven individuals with diverse backgrounds and skills, but we’re all passionate about engineering deeper understanding through data - together. If this resonates, we would love to hear from you!

We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Salary Range: $180,000-$295,000

A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we’re creating together.