Data Engineer

Harrison Clarke is hiring for a Data Engineer / Analytics Engineer role at a fast-growing technology company. The role focuses on building analytical data models, ETL/ELT pipelines, KPI definitions, dashboards, and reporting infrastructure, with opportunities to support entity resolution and advanced data science initiatives.

Responsibilities:

• Design and build scalable analytical data models that support reporting, analytics, and downstream applications
• Develop and maintain ETL/ELT pipelines and transformation workflows across multiple data sources
• Establish consistent definitions for core business KPIs and metrics
• Build and organize dashboards and reporting used by business and product teams
• Work closely with stakeholders to understand business questions and translate them into robust data solutions
• Investigate data quality issues, anomalies, and inconsistencies and improve the reliability of the underlying data
• Develop aggregation tables and optimized datasets for analytics and application use cases
• Perform deeper analysis when needed to identify trends, opportunities, and problems
• Partner closely with Engineering, Product, and business leaders to improve the company's overall data infrastructure
• Help establish the foundations for future initiatives around entity resolution, identity matching, and more advanced data science

Requirements:

• 3+ years of experience in Data Engineering, Analytics Engineering, Data Analytics, or a closely related role
• Strong SQL skills and experience working directly with production data
• Experience designing data models for reporting and analytics
• Hands-on experience building ETL/ELT pipelines and transformation workflows
• Experience working with BI/reporting tools and building reliable dashboards
• Strong understanding of data quality, metric definitions, and analytical best practices
• Ability to work closely with non-technical stakeholders and translate ambiguous business questions into practical data solutions
• Comfortable operating in a fast-moving environment where you'll have significant ownership
• Some experience with Python and/or statistical analysis
• Experience with dbt, ClickHouse, or other analytical/OLAP technologies
• Experience working with high-volume event, transactional, or behavioral data
• Experience with attribution, marketing/ad-tech, marketplaces, or other complex data environments
• Exposure to entity resolution, record linkage, identity graphs, or graph databases
• Experience partnering with Data Science or ML teams