Senior Analytics Engineer

Join Avant, a high-growth fintech company, as a Senior Analytics Engineer. In this role, you will design and build foundational data and analytics solutions, partner with Business Operations and Product teams, and contribute to the practical application of Generative AI. You will have significant autonomy and a mandate to build and optimize. Benefits include a 401(k) match, unlimited paid time off, and a flexible work environment.

• Design and implement solutions to automate the end-to-end data lifecycle, ensuring rigorous adherence to data and process governance.
• Partner closely with Business Operations and Product teams to understand their needs and challenges, shape a clear solution concept, and build the tools that will accelerate their work.
• Evolve and expand the core data and analytics stack, working with technologies like Databricks, dbt, Spark, Kafka, and Airflow, to make advanced capabilities accessible to everyone.
• If you are a curious, hands-on engineer who thrives on variety and wants to shape how a successful fintech scales its most critical capabilities, this is the opportunity for you
• Clear Communicator: You can articulate complex technical ideas and proposals, fostering open and productive design discussions
• Pragmatism and Agility: You are a practical thinker who can critically evaluate tools and ideas. You’re comfortable building rapid prototypes and iterating on proofs-of-concept to find the best path forward
• Problem-Solving Mindset: You can operate at multiple levels of abstraction, from high-level system design to hands-on coding. You approach unfamiliar tools and patterns with excitement and a desire to learn
• Consultative Approach: Comfortable in a business-facing environment – you can work with non-technical stakeholders to understand their processes and challenges, and turn that understanding into a solution concept and technical specification
• Experience: 5+ years of experience in data or platform engineering
• Technical Foundation: Strong data engineering and software development skills, experience building and deploying data solutions on modern data platforms like Databricks, and a solid understanding of data modeling and process automation. While our stack is SQL and Python heavy, we value engineering principles over specific tool expertise
• Experience with our core stack: Databricks, dbt, Spark, Kafka, and Airflow
• Familiarity with specific business domains (Accounting/Finance, Credit Risk Modeling, Marketing, etc.)
• Personal projects or a demonstrated interest in exploring GenAI or other emerging technologies