Data Engineer Snowflake and Databricks

FinTrust Connect

Chicago, IL, United States

10 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$176,800.0 - $343,200.0

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

Airflow Microsoft Azure Information Engineering Microsoft SQL Server Role-Based Access Control Reliability Engineering SQL Server Integration Services Azure Data Factory Snowflake Multi-Cloud Pyspark Star Schema

+2 more

Azure Synapse Analytics Databricks

Job description

Join our Talent Community for Chicago. Winning posts here stress Azure aligned stacks with Databricks plus Snowflake and Azure Data Factory and Synapse or SQL Server integration, and clear impact on risk and finance analytics.

As a Data Engineer you will design and optimize pipelines and models on Databricks and Snowflake for regulated workloads, with strong documentation and evidence for audit., * Build secure and reliable ELT, manage secrets, and enforce roles

Deliver curated marts for CECL and risk and finance and product use cases
Add quality checks and lineage and drift monitors
Partner with platform teams on cost and reliability improvements

Outcomes we track

SLA adherence 95% across critical tables
Cost per TB processed improved 20% in 90 days
Audit evidence packs complete 100% and on time

Requirements

5 to 8 years in data engineering with Azure or multi cloud
Databricks PySpark and Delta and jobs and repos
Snowflake performance and RBAC and streams and tasks
Azure Data Factory or Airflow, plus dbt for modeling
SQL Server or Synapse integration experience is a plus, Consulting, Documentation, Finance, Financial Analysis, LinkedIn, Microsoft SQL Server, Microsoft Windows Azure, Reliability Engineering, Risk, Risk Analysis, Snowflake Schema, Use Cases