Senior Analytics Engineer

• Avant is a high-growth fintech company dedicated to creating rewarding financial products for the everyday consumer
• As a profitable, scale-up organization, we are focused on accelerating our market share growth and expanding our suite of product offerings
• We’re looking for builders and problem-solvers to join our Chicago-based team and help us define the next chapter of our growth
• As a Senior Analytics Engineer, you will be at the heart of Avant’s technical evolution
• This isn’t a maintenance role; you’ll be a key player in designing and building the foundational data and analytics solutions that power our products and decision-making
• Alongside that build work, you’ll partner directly with Business Operations and Product teams – understanding their needs, shaping those needs into a solution concept, and planning the work before implementing it on our stack
• You will tackle the dual challenge of scaling our core systems for the future while pioneering the practical application of Generative AI to create real business differentiation
• You will join a focused, agile team with significant autonomy and a mandate to build and optimize
• Design and implement solutions to automate the end-to-end data lifecycle
• Seamlessly integrate our complex ecosystem of systems, tools, and partner organizations
• Develop data solutions that empower teams with self-service access to data and insights, while ensuring rigorous adherence to data and process governance
• Evolve and expand our core data and analytics stack – working with technologies like Databricks, dbt, Spark, Kafka, and Airflow – to make advanced capabilities accessible to everyone, with a growing emphasis on agentic development
• Partner closely with Business Operations and Product teams: understand their needs and challenges, shape a clear solution concept, and build the tools that will accelerate their work
• Move beyond the hype and contribute to the practical adoption of GenAI, focusing on solutions that deliver real business value
• Help define patterns and practices for enabling reliable, observable, and cost-effective GenAI tooling for broad use across the organization
• Empower analysts with agentic tooling that will help streamline and automate their daily operations

Benefits

• 401(k) Match
• Choice of great medical, dental, and vision insurance plan options
• Unlimited paid time off
• Fun in-office and virtual social events
• Summer fridays
• No meeting wednesdays - (a.k.a. planned time to Get Sh!t Done)
• Access to LinkedIn Learning for professional development
• WFH stipends for our remote employees
• Lunch allowance (Fooda) and in-office snacks
• Generous paid parental leave
• Flexible work environment
• (And who doesn’t love the swag)- 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