9 часов назад
Senior Analytics Engineer (GenAI)
90 000 - 110 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (GenAI) (Databricks/SQL/Python): Designing and building foundational data and analytics solutions that automate the data lifecycle, integrate complex systems, and support self-service insights with an accent on scalable data platforms and practical GenAI adoption. Focus on developing reliable, observable, and cost-effective agentic tooling, shaping business requirements into technical solutions, and optimizing data capabilities for fintech products.
Location: Downtown Chicago office at the Merchandise Mart; hybrid schedule with in-office work on Monday, Tuesday, and Thursday.
Salary: USD $90,000–$110,000 per year, plus eligibility for an annual bonus.
Company
is a profitable, high-growth fintech company creating financial products for everyday consumers and expanding its digital banking offerings.
What you will do
- Design and implement solutions that automate the end-to-end data lifecycle.
- Integrate complex systems, tools, and partner organizations across the data ecosystem.
- Build governed data solutions that provide teams with self-service access to data and insights.
- Evolve the data and analytics platform using Databricks, dbt, Spark, Kafka, and Airflow, with an increasing focus on agentic development.
- Partner with Business Operations and Product teams to understand needs, define solution concepts, and build productivity tools.
- Develop practical GenAI approaches, including reliable, observable, cost-effective tooling and agentic solutions for analysts.
Requirements
- 5+ years of experience in data or platform engineering.
- Strong data engineering and software development skills, including experience building and deploying data solutions on modern data platforms.
- Strong SQL and Python skills, with knowledge of data modeling and process automation.
- Ability to work with non-technical stakeholders, translate business challenges into solution concepts, and create technical specifications.
- Ability to work across high-level system design, hands-on coding, prototyping, and proof-of-concept development.
- Clear communication skills for explaining complex technical ideas and participating in design discussions.
Nice to have
- Experience with Databricks, dbt, Spark, Kafka, and Airflow.
- Experience in accounting or finance, credit risk modeling, marketing, or similar business domains.
- Personal projects or demonstrated interest in GenAI and emerging technologies.
Culture & Benefits
- Collaborative, agile environment with significant autonomy and ownership.
- Medical, dental, and vision insurance options.
- 401(k) matching and flexible time off.
- Paid parental leave, adoption assistance, and a post-parental-leave ramp-up program.
- Lunch allowance, in-office snacks, summer Fridays, and social events.
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