
Data Engineer II
Continental Properties
full-time
Posted on:
Location Type: Hybrid
Location: Menomonee Falls • Wisconsin • United States
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Salary
💰 $100,000 - $110,000 per year
About the role
- Work with data from internal and external sources, using both cloud and on-premises environments
- Develop and support automated processes to clean, organize, and transform data into products and insights
- Make key decisions on complex data issues and help shape technical approaches for projects
- Design and develop data pipelines for warehousing, BI reporting, and analytics using tools like Matillion, DBT, Snowflake and Power BI
- Implement data quality and integrity checks, proactively identifying and resolving issues
- Collaborate with business users to understand analytics and reporting needs, and identify the best data sources
- Assist business users with technical tasks, including data extracts, report creation, SQL, and troubleshooting
- Develop and maintain documentation for databases and Power BI datasets.
Requirements
- Bachelor's or Master’s degree in Computer Science, Data Science, Finance, Statistics, Mathematics, or a related field
- 3–5 years of experience in a SQL-based data engineering or analytics role
- Skilled with data visualization tools (Power BI, Tableau, Qlik, or similar)
- Experience with databases (Microsoft SQL, MySQL, etc.) and technical tools (Snowflake, Azure, Matillion, DBT, Python, R, REST API, AWS)
- Experience developing complex queries, data modeling, and ETL processes in SQL, Python, R, or similar languages
- Must be legally authorized to work in the United States without sponsorship now or in the future.
Benefits
- Comprehensive mental health support including 8-free counseling sessions per year
- Access to additional wellness resources
- Generous vacation time
- 9-paid holidays
- Half-days on Fridays during designated months
- Paid professional memberships
- Certifications
- Tuition reimbursement
- 6-weeks paid parental leave
- Family-forming & fertility resources (up to 12-weeks leave for birth mothers).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata engineeringdata analyticsdata visualizationETLdata modelingPythonRcomplex queriesdata quality checks
Soft skills
collaborationproblem-solvingdecision-makingcommunication