Role Overview
The Data and Analytics Engineer will work across systems to manage the full lifecycle of data from source applications through the warehouse and into the hands of business users. This is a broad, hands-on role combining data engineering, analytics, systems thinking, and business problem-solving.
What You Will Do
The Data and Analytics Engineer will own the full data lifecycle, design and build data models, transformations, pipelines, and scheduled processes, and ensure data quality and reliability.
Why It Might Be a Fit
The ideal candidate will have 2–4 years of experience in data engineering, analytics engineering, or a closely related role, strong SQL skills, and experience with data warehousing and dimensional modeling.
Requirements
- 2–4 years of experience in data engineering, analytics engineering, or a closely related role
- Strong SQL skills, ideally T-SQL with SQL Server or Azure SQL
- Experience with data warehousing and dimensional modeling
- Ability to monitor and troubleshoot warehouse health
- Working knowledge of Power BI
- Experience using Git and pull-request workflows for source control
- Ability to understand and troubleshoot data flows across interconnected business applications and a central data warehouse
- A strong understanding of data quality and how changes in one system can affect downstream data and reporting
- Clear communication with both technical and business stakeholders
- Self-direction and initiative
Benefits
- Participation in GoEngineer’s unlimited PTO program
- 401(k) retirement plan with up to a 6% company match
- Comprehensive medical coverage
- Paid Family Leave
- Employer paid Life Insurance policy
- Dental and Vision insurance
- Mental health, telemedicine, and wellness programs
- Fertility, adoption, and family building benefits
- Employee Assistance Program (EAP)
- Optional voluntary benefits
To apply for this job please visit careers.goengineer.com.
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