Clair

Senior Analytics Engineer

New York, New York, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Financial ServicesIndustries

About Clair

If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck? At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day. Learn more about us at getclair.com/about

About the Role

As our first Senior Analytics Engineer, you’ll sit at the intersection of engineering and analytics, owning Clair’s data pipelines, modeling clean and trustworthy data sets, and collaborating closely with stakeholders across the entire organization (Product, Operations, and Finance, to name a few). You’ll play a critical role in defining our data architecture and improving data quality. Your primary stakeholder will be the analytics team. As you partner with data analysts and data scientists, you’ll design, develop, and deliver well-modeled, cost-efficient data models that power the impactful analyses that drive all decision-making at Clair.

Some examples of what you’ll do…

  • Model data from all of our products into flexible, trusted analytic reporting tables
  • Migrate all of our data sources from Airbyte cloud to our self-hosted instance
  • Support the data science team by building model feature pipelines
  • Build new data management processes to maintain the integrity of production reporting environments
  • Reduce Snowflake computing costs by identifying and optimizing key bottlenecks
  • Implement a robust code style guide across the entirety of our dbt project(s)

Key Responsibilities

  • Own Clair’s ELT pipeline from start to finish and contribute to the development of best practices in modeling, testing, documentation, and observability
  • Design, build, and maintain scalable data models using dbt that power analytics and business decisions
  • Ingest and model data from new source systems to incorporate them into the data warehouse
  • Partner with analysts, engineers, and business stakeholders to define metrics, data definitions, and governance standards
  • Implement data governance, access control, and monitoring strategies across the entire data stack
  • Identify data quality issues and lead efforts to resolve root causes
  • Guide technical decisions as we scale the data function
  • Occasionally support the analytics team with ad-hoc or high priority analysis.

Qualifications

  • 4-5 years of professional experience in the data analytics field
  • Advanced SQL proficiency
  • 2-3 years hands-on experience modeling data with dbt in a production environment
  • Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
  • Familiarity with cloud data loading tools (e.g., Fivetran, Airbyte, Airflow)
  • Strong understanding of data modeling concepts (dimensional modeling, Kimball, etc.)
  • Experience with a scripting language like Python or R
  • Experience working in a high-growth start-up environment
  • Excellent communication skills, you can translate technical work into clear business value

Additional Details

Location: This is a hybrid position based out of New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings. Compensation: The annual base salary for this role is $155,000-$160,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair’s competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future.

Skills

ELT pipeline
Data modeling
Data architecture
Data quality
Airbyte
Snowflake
dbt
Feature engineering
Data management
Cost optimization

Clair

On-demand wage access for employees

About Clair

Clair provides a service that allows employees to access their earned wages before the traditional payday, without any fees or interest. This service is especially useful for hourly workers and those in gig economy jobs who may need immediate access to their earnings for unexpected expenses. Clair partners with employers to integrate its service into existing HR and payroll systems, allowing employees to access their wages through a platform that includes a virtual or physical debit card. Unlike many competitors, Clair does not charge fees or interest for its wage advance service, making it an attractive option for companies looking to enhance employee financial well-being. The goal of Clair is to improve financial wellness for employees by offering a flexible solution for accessing earned wages.

New York City, New YorkHeadquarters
2019Year Founded
$43.8MTotal Funding
DEBTCompany Stage
Fintech, Financial ServicesIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Unlimited Paid Time Off
Paid Vacation
Hybrid Work Options
401(k) Retirement Plan
401(k) Company Match
Parental Leave

Risks

Regulation in states like Wisconsin may increase compliance costs for Clair.
TriNet's new marketplace could challenge Clair's position with integrated solutions.
Clair's consumer lending program may expose it to credit risk and scrutiny.

Differentiation

Clair offers a fee-free model for earned wage access, unlike many competitors.
Clair integrates with existing HR and payroll systems for seamless employer adoption.
Clair's partnership with Pathward supports a consumer lending program, diversifying offerings.

Upsides

Clair secured $175 million funding to expand its on-demand pay solution.
Increased EWA adoption in regulated states provides a stable market for Clair.
Clair's integration with global platforms like Oyster expands international reach.

Land your dream remote job 3x faster with AI