Overview
On Site
120k - 125k
Full Time
Skills
Analytics
Marketing Operations
Customer Support
Decision-making
Computer Science
Data Analysis
SQL
Extract
Transform
Load
ELT
Cloud Computing
Snow Flake Schema
Amazon Redshift
Dimensional Modeling
Amazon Web Services
Amazon S3
Electronic Health Record (EHR)
Visualization
Tableau
Python
Shell Scripting
Communication
Reporting
Data Quality
Data Engineering
Continuous Integration
Continuous Delivery
Testing
Documentation
Performance Tuning
Collaboration
Data Modeling
Mentorship
Regulatory Compliance
Privacy
FSA
Insurance
Training
SAP BASIS
Job Details
We're looking for a Senior Data Engineer to join a high-growth private company that provides marketing, operations, and customer support for a nationally recognized membership-based organization focused on empowering responsible Americans through education, preparedness, and protection. This role will be reporting to their northern Milwaukee office three days a week and will be a full-time permanent role from the start.
As a Senior Data Engineer, you'll play a key role in shaping and scaling the organization's data capabilities. Your work will directly support cross-functional stakeholders by developing reliable data models, enhancing data infrastructure, and enabling insight-driven decision making across the business. This will be a unique opportunity to put yourself in a position to help lead and mentor junior engineers for future career development.
Required Skills & Experience
#LI-EM1
As a Senior Data Engineer, you'll play a key role in shaping and scaling the organization's data capabilities. Your work will directly support cross-functional stakeholders by developing reliable data models, enhancing data infrastructure, and enabling insight-driven decision making across the business. This will be a unique opportunity to put yourself in a position to help lead and mentor junior engineers for future career development.
Required Skills & Experience
- Bachelor's degree in IT, Computer Science, Data Analytics, or related field-or equivalent experience.
- 4+ years of advanced SQL experience and strong familiarity with ETL/ELT processes.
- Proficiency with dbt (Data Build Tool) is required.
- Experience with cloud data platforms (Snowflake, BigQuery, or Redshift).
- Understanding of dimensional data modeling and star schemas.
- Familiarity with AWS tools (e.g., S3, EMR) and visualization tools (e.g., Tableau).
- Bonus: Experience with Python and shell scripting.
- Strong verbal and written communication skills and a collaborative mindset.
- Lead the development of robust, reusable, and tested data pipelines from diverse data sources.
- Design and maintain scalable dimensional data models for enterprise reporting.
- Define and enforce data transformation standards with a strong emphasis on data quality.
- Champion best practices in data engineering, including CI/CD, testing, documentation, and performance optimization.
- Collaborate with data architects and analysts to ensure a unified and accessible data model.
- Guide and mentor junior engineers, especially in using dbt to transform data effectively.
- Ensure compliance with data privacy and risk standards, including handling of PII.
- Bonus eligible
- 23 days of PTO + 8 company holidays + 1 day of paid volunteer service
- $500 wellness & home office stipend
- On-Site Gym
- Competitive medical, dental, vision, HSA/FSA, life, and disability insurance
- Complimentary elite membership in the organization's programs
- Discounted merchandise and training
- Recognized as a Top Workplace multiple years running
- A fast-paced, supportive, and mission-oriented team culture
#LI-EM1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.