Lead Data Engineer — Remote, Scalable Data Stack

Ledgebrook; United States; Remote; USD 100,000 - 170,000; Full time

Benefits offered by this job

Full remote work

Unlimited PTO

Comprehensive health benefits

401(k) and equity program

Autonomy and ownership

Equity incentive program

Job summary

Ledgebrook seeks a Data & Analytics Engineer to own critical data stack components, partner with leadership, engineers, underwriters, and actuaries, and build scalable data platforms for reporting and applications.

You will drive data modeling, governance, security, and a data-driven culture while aligning with the Director of Data and Analytics Engineering to elevate best practices across the stack.

Qualifications

• 4+ years of experience in data engineering, with a track record of designing and managing complex data systems.

Responsibilities

• Design, develop and deploy a scalable modern data stack to support business objectives (application, reporting and the like)

Skills

Python

IaC

SQL

NoSQL

Data modeling

ELT

Data warehousing

Data security

Cloud (AWS/Azure/GCP)

Snowflake/Databricks/BigQuery

BI tools (Power BI/Tableau/Looker)

Education

Degree in science or engineering

Tools

Terraform

dbt

Fivetran

Airflow

Job description

Ledgebrook seeks a Data & Analytics Engineer to own critical data stack components, partner with leadership, engineers, underwriters, and actuaries, and build scalable data platforms for reporting and applications.

You will drive data modeling, governance, security, and a data-driven culture while aligning with the Director of Data and Analytics Engineering to elevate best practices across the stack.