Data Platform Engineer: Build Scalable Pipelines

Kavaliro; Salt Lake City (UT); On-site; USD 100,000 - 135,000; Full time

Job summary

Kavaliro seeks a Data Engineer in Salt Lake City to scale data foundations powering the business. You will design, build, and optimize pipelines and infrastructure, enabling data as a strategic asset across the organization.

The role requires collaborating with Product, Engineering, Analytics, and business stakeholders to deliver scalable, high-quality solutions. We expect 6+ years in data engineering, expert Python/SQL skills, and strong cloud experience (AWS/GCP/Azure).

Qualifications

• 6+ years in data engineering or data-driven software engineering.
• Exceptional Python and SQL skills.
• Experience with orchestration frameworks (Prefect, Airflow, Dagster).
• Deep knowledge of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB).
• Cloud experience (AWS, GCP, Azure).
• Strong OO/FP programming and scalable code practices.
• Experience with streaming frameworks (Kafka, Flink, Spark).
• Knowledge of IaC (Terraform).
• Detail-oriented, multitasking in fast-paced environments, strong communicator.
• Nice-to-have: JVM languages (Scala/Java/Kotlin) and finance domain knowledge.

Responsibilities

• Develop and automate large-scale, high-performance data pipelines and infrastructure.
• Create reusable components for ingestion, cleansing, and data quality.
• Ingest raw data into Data Lake and Data Warehouse from multiple sources.
• Design data models for scalable storage and retrieval across domains.
• Collaborate daily with Operations, Sales, and Product teams to align on FinTech strategy.

Skills

Python

SQL

Airflow

Prefect

Dagster

ELT

Data modeling

Scala/Java/Kotlin

Tools

Snowflake

Databricks

PostgreSQL

MongoDB

dbt

Terraform

AWS

GCP

Azure

Job description

Kavaliro seeks a Data Engineer in Salt Lake City to scale data foundations powering the business. You will design, build, and optimize pipelines and infrastructure, enabling data as a strategic asset across the organization.

The role requires collaborating with Product, Engineering, Analytics, and business stakeholders to deliver scalable, high-quality solutions. We expect 6+ years in data engineering, expert Python/SQL skills, and strong cloud experience (AWS/GCP/Azure).