Data Engineer

Location: (hybrid – eventually 4 days onsite in and Fridays remote) - Salt Lake City, UT 84101 Client offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling parental leave unlimited paid time off (PTO) Position Summary Our client is seeking a Data Engineer for a direct hire opportunity. The Data Engineer will help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high-quality solutions. Data sits at the core of client operations. The firm relies on clean, reliable, well-structured data to drive decision-making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights. Responsibilities Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive business growth and enable data-driven decision making. Design and develop reusable components and frameworks for ingestion, cleansing, and data quality. Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse. Design data models for optimal storage and retrieval that represent the tangible business domains across ecosystem. Coordinate closely with the Operations, Sales, and Product Development teams daily to push FinTech strategy and improve the overall profitability of the business. Qualifications 6-10 years of professional experience in a data engineering or data-driven software engineering role Exceptional Python and SQL skills Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.) Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub) Experience developing and deploying code to Cloud environments (AWS, GCP, Azure) Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code Experience leveraging stream processing frameworks (Kafka, Flink, Spark) Knowledge of infrastructure-as-code frameworks (terraform or cloud formation) Detail-oriented and able to multitask and work in a fast-paced environment Able to work independently while also being a strong team player Passionate about learning and mastering cutting-edge technologies Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred Knowledge of financial markets and financial instruments is preferred #J-18808-Ljbffr Kavaliro