[Hiring] Data Engineer @Kapitus

Role Description

Kapitus is building a next-generation enterprise data and AI capability for our financial services organization. This is a multi-year modernization program that replaces hundreds of legacy analytics workflows with governed, reusable business data products on a modern cloud data platform, stands up an AI/ML platform, and moves the organization from producing reports to producing decisions.

We are hiring Data Engineers to build that platform and the products on it. The core stack is Snowflake and dbt, organized around a layered medallion architecture bronze/silver/gold-style layers extended with governed conformed entities, certified semantic definitions, and reusable serving structures. You will build ingestion and transformation pipelines, model data across layers, migrate legacy workflows onto the platform, and ship data products through evidence-based acceptance gates.

You report to the Director of Data Engineering, who owns the platform architecture and engineering standards. This is a delivery role on a program that runs to tight timelines and real acceptance criteria: your work is done when it is validated, evidenced, and accepted code complete is not product complete. You will work alongside internal engineers and consulting-partner teams across onshore and offshore locations, all held to the same engineering bar.

Senior Data Engineers additionally own complex workstreams or product slices, lead technical design within the approved architecture, review other engineers’ work, mentor team members, and drive difficult migrations or production issues to closure.

Qualifications

• 5+ years of hands-on data engineering experience building production data pipelines and warehouse models.
• Strong hands-on Snowflake experience including warehouse and database objects, performance and cost-aware SQL, role-based access concepts, tasks/streams or equivalent patterns, and loading/unloading at production scale.
• Production dbt experience building and maintaining real dbt projects: layered model organization, incremental models, tests and documentation, macros, and working in a shared multi-developer project with CI.
• Expert SQL skills complex transformations, window functions, performance tuning, and the judgment to know when SQL is the wrong tool.
• Solid Python experience for data engineering ingestion utilities, API integrations, automation, and orchestration code.
• Layered/medallion architecture experience.
• Engineering fundamentals: Git, code review, CI/CD, environment promotion, and automated testing as normal practice, not aspiration.
• Data quality and verification mindset.
• Clear written communication for design notes, pull request descriptions, and documentation.

Requirements

• Experience migrating legacy analytics workloads (Alteryx, SSIS, SAS, stored-procedure estates, or similar) to a modern cloud stack, including parity testing against the legacy output.
• Experience in financial services, lending, banking, fintech, or another regulated environment including working with sensitive data classifications and audit expectations.
• Consulting or client-facing delivery experience.
• Orchestration experience (Airflow, Dagster, or similar), CDC/ingestion tooling, and streaming or near-real-time patterns.
• Exposure to data catalogs and lineage tooling, semantic/BI layers (e.g., Tableau, Sigma, or similar), and ML/AI data needs.
• SnowPro or dbt certifications — valued as evidence of rigor, not as a substitute for demonstrated delivery experience.

Benefits

• Competitive Base Salary Range of $96,300-$154,400.
• Annual Incentive Compensation Eligibility – Up to 10% annually.
• Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC).
• Flexible Spending Account: Set aside pre-tax dollars for qualified expenses.
• Lifestyle Spending Account: Employer sponsored post-tax benefits for well-being expenses.
• 100% Company Paid Insurances: Basic short-term and long-term disability insurance, as well as vision insurance.
• Voluntary Insurance: Supplemental life insurance and enhanced disability coverage available.
• Paid Maternity and Parental Leave: Company-paid leave beyond state-mandated policies.
• Commuter Benefits: Pre-tax benefits on parking and commuter expenses.
• LifeBalance Program: Discounts on outdoor activities, health, and fitness.
• Plum Benefits Discount Program: Access to exclusive discounts on shows, travel, and more.
• Tuition Reimbursement: Up to $5,000 annually for further education.
• Travel Reimbursement for all work-related travel.
• Paid Time Off and Sick Time.
• Retirement Benefits: 401K plan with a 25% match on contributions, up to 6% of annual salary.