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 getclair.com
ABOUT THE ROLE
As an Analytics Engineer, you'll sit at the intersection of engineering and analytics, helping build Clair's data pipelines, modeling clean and trustworthy data sets, and collaborating with stakeholders across the organization (Product, Operations, and Finance, to name a few). You'll play a key role in improving our data quality and contributing to our data architecture as it evolves. Your primary stakeholder will be the analytics team. Partnering with data analysts and data scientists, you'll help design, develop, and deliver well-modeled, cost-efficient data models that power the analyses driving decision-making at Clair.
SOME EXAMPLES OF WHAT YOU'LL DO…
- Model data from our products into flexible, trusted analytic reporting tables
- Help maintain and extend data pipelines that move data from source systems into Snowflake (e.g., CDC streams, batch ingestion)
- Build and maintain scheduled Python jobs for data processing and automation
- Support the data science team by building model feature pipelines
- Help build new data management processes to maintain the integrity of production reporting environments
- Help identify and optimize Snowflake computing cost bottlenecks
- Contribute to and help maintain a code style guide across our dbt project(s)
KEY RESPONSIBILITIES
- Contribute to Clair's ELT pipeline and help apply best practices in modeling, testing, documentation, and observability
- Support and improve data ingestion pipelines, including CDC replication from Postgres via Kafka and batch loading through Airbyte
- Develop and maintain Python-based data jobs that run on a scheduled basis in Snowflake
- Build and maintain 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 help define metrics, data definitions, and governance standards
- Support data governance, access control, and monitoring efforts across the data stack
- Identify data quality issues and help resolve root causes
- Contribute ideas and input as we scale the data function
- Occasionally support the analytics team with ad-hoc or high-priority analysis
QUALIFICATIONS
- 3-4 years of professional experience in the data analytics field
- Strong SQL proficiency
- 1-2 years hands-on experience modeling data with dbt in a production environment
- Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
- Familiarity with data ingestion and orchestration tools (e.g., Airbyte, Kafka, Airflow)
- Understanding of data modeling concepts (dimensional modeling, Kimball, etc.)
- Experience with a scripting language like Python or R
- Exposure to CDC pipelines, event streaming, or real-time data ingestion is a plus
- Comfortable working in — or excited to work in — a high-growth start-up environment
- Strong communication skills, with the ability to translate technical work into clear business value
ADDITIONAL DETAILS
Location: This is a hybrid position based in 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 $140,000 - $150,000. 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.
Clair will only contact candidates from @getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it.
NEED MORE CONVINCING?
Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair:
- Medical, Dental, & Vision Coverage, with option to extend to your family
- Fully-paid parental leave
- Company-sponsored 401k, HSA, and FSA
- Unlimited vacation for salaried roles, generous PTO for hourly roles
- Work from home setup allowance
- Access to your earnings every day on Clair
- Company-sponsored short-term and long-term disability insurance
EQUAL OPPORTUNITY EMPLOYER INFORMATION
Clair is an equal opportunity employer and we value diversity at our company. We actively seek a diverse applicant pool and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For questions, please email us at careers@getclair.com
Requirements
Must-haves
Model data from our products into flexible, trusted analytic reporting tables
Help maintain and extend data pipelines that move data from source systems into Snowflake (e.g., CDC streams, batch ingestion)
Build and maintain scheduled Python jobs for data processing and automation
Support the data science team by building model feature pipelines
Help build new data management processes to maintain the integrity of production reporting environments
Help identify and optimize Snowflake computing cost bottlenecks
Contribute to and help maintain a code style guide across our dbt project(s)
Contribute to Clair's ELT pipeline and help apply best practices in modeling, testing, documentation, and observability
Support and improve data ingestion pipelines, including CDC replication from Postgres via Kafka and batch loading through Airbyte
Develop and maintain Python-based data jobs that run on a scheduled basis in Snowflake
Build and maintain 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 help define metrics, data definitions, and governance standards
Support data governance, access control, and monitoring efforts across the data stack
Identify data quality issues and help resolve root causes
Contribute ideas and input as we scale the data function
Occasionally support the analytics team with ad-hoc or high-priority analysis
3-4 years of professional experience in the data analytics field
Strong SQL proficiency
1-2 years hands-on experience modeling data with dbt in a production environment
Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
Familiarity with data ingestion and orchestration tools (e.g., Airbyte, Kafka, Airflow)
Understanding of data modeling concepts (dimensional modeling, Kimball, etc.)
Nice-to-haves
Exposure to CDC pipelines, event streaming, or real-time data ingestion is a plus
Application prep
Use the role’s language and application details while tailoring your materials.