Data Engineer II — BI & Data Platform (Hybrid)

Early Warning Services LLC; United States; Hybrid; USD 83,000 - 132,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan

Paid Time Off

Paid Parental Leave

Maven Family Planning

Job summary

Early Warning Services LLC seeks a Data Engineer to design and develop BI solutions across multiple stacks. You will translate metrics into clear insights, build datamarts, and support dashboards and reports using Tableau and Cloudera.

The role requires collaboration with business users, data scientists, and engineers to deliver scalable data infrastructure, ETL pipelines, and analytics tools while maintaining data quality and security.

Qualifications

• Bachelor’s degree in a related field or equivalent experience.
• 2-4 years progressive data engineering experience.
• Strong SQL and Python for data engineering.
• Experience building data pipelines and ETL in Hadoop/AWS.
• Experience with data visualization and dashboards.
• Ability to collaborate with cross-functional teams.
• Background check and drug screen.

Responsibilities

• Define requirements for reports and dashboards with business users.
• Design backend data sources using Cloudera technology stack.
• Create dashboards and reports in Tableau to support business processes.
• Perform in-depth data analysis and ETL design.
• Collaborate on architecture improvements and data platforms.
• Mentor interns and guide data engineers and scientists.

Skills

PySpark/Python

Spark/Scala

Tableau

SQL

Hadoop/AWS

Data modeling

Education

Bachelor’s degree

Tools

Cloudera

Tableau Server

Hive/Impala

Linux

Spark

Job description

Early Warning Services LLC seeks a Data Engineer to design and develop BI solutions across multiple stacks. You will translate metrics into clear insights, build datamarts, and support dashboards and reports using Tableau and Cloudera.

The role requires collaboration with business users, data scientists, and engineers to deliver scalable data infrastructure, ETL pipelines, and analytics tools while maintaining data quality and security.