Job Specifications
Title: Data Engineer
Employment Status: Full-Time
Location: Remote (U.S.)
Schedule: Standard business hours with occasional evenings/weekends as needed
Salary Range: $100,000 - $120,000
Position Overview
A rapidly growing, multi-site consumer services organization is seeking a Data Engineer to own customer/member data, core KPIs, and the underlying data infrastructure that supports analytics and marketing workflows.
This role sits between analytics engineering and data engineering, with a strong emphasis on data accuracy, reliability, and trust. The data environment directly supports executive KPI dashboards and customer engagement workflows, where incorrect data can materially impact business operations and customer experience.
A significant portion of this role focuses on CRM and lifecycle data, including customer attributes, segmentation, and targeting logic. While not responsible for building dashboards or campaigns, this role owns the data that powers them.
The ideal candidate brings strong experience in SQL, data modeling, and modern data stack tools, along with a clear understanding of how marketing and CRM systems consume data in production environments.
Key Responsibilities
Own and maintain the customer/member data environment, including the health and reliability of key data integrations
Define, model, and manage customer attributes and core KPIs used across the organization
Ensure the accuracy, consistency, and reliability of data supporting dashboards and customer engagement workflows
Design, build, and maintain data integrations and ingestion pipelines supporting CRM and lifecycle use cases
Develop and maintain analytics-ready data models for long-term metric stability
Build and manage automated testing, validation, and data quality safeguards
Enforce system-level data validation to ensure only trusted data reaches downstream systems
Own data incidents from detection through resolution, including stakeholder communication
Contribute to ETL pipelines using dbt, Airflow, and Python-based processes
Support API-based data ingestion and enrichment initiatives
Collaborate with analysts and business stakeholders on data definitions and usage
Qualifications
Core Requirements
Strong SQL experience for analytical and production use cases (joins, window functions, aggregations, temporal logic, deduplication)
Experience with data modeling for analytics (fact/dimension design, event models, historical/snapshot modeling)
Experience working with dbt or similar transformation tools
Experience working in a modern cloud data warehouse environment
CRM / Data Application Experience
Experience supporting CRM data, customer attributes, or lifecycle metrics used for marketing or customer engagement
Understanding of segmentation, targeting, and campaign data usage
Ability to assess downstream business and customer impact of data quality issues
Strong ownership mindset around data accuracy and reliability in production environments
Preferred Qualifications
Experience with customer engagement platforms (e.g., Braze or similar)
Exposure to data testing, observability, or data quality frameworks
Experience with Snowflake
Working knowledge of Python
Experience with Airflow or similar orchestration tools
Experience integrating data from external APIs
Benefits
Competitive base salary + performance bonus
Medical, dental, and vision insurance
401(k) with company match
Paid time off
Growth and advancement opportunities
Collaborative, high-performance environment
Additional Information
Fully remote role with occasional travel
Employment contingent on background screening
Must be authorized to work in the United States
About the Company
Addison Group is a leading professional services firm specializing in talent solutions (staffing) and consulting services, offering a full suite of capabilities across multiple practice areas, including information technology, finance and accounting, non-clinical healthcare, human resources, administrative, and digital marketing.
We work in specialized markets and channel decades of expertise into real, honest conversations, not just software. We know that great teams start with great people. That means we focus on quality...
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