Data Engineer

Data Engineer / Analytics Engineer - High-Growth Technology Company

Remote | US

We're working with a fast-growing technology company looking for a Data Engineer / Analytics Engineer to build the data foundation behind a rapidly scaling business.

This is a highly hands-on role sitting at the intersection of data engineering, analytics, and business intelligence . You'll be responsible for bringing structure to fragmented data, building reliable analytical models, standardizing KPIs, and creating the reporting infrastructure that enables teams to make better decisions.

Over time, the role will expand into more sophisticated data science initiatives, including entity resolution and identity matching .

What you'll do

• 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

What we're looking for

• 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 is a plus

Nice to have

• 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

Why this role?

This is an opportunity to become a foundational member of the data function and have a meaningful impact on how the company understands and uses its data.

You'll have significant ownership over the data models, metrics, pipelines, and analytical infrastructure that the wider organization relies on, while also having the opportunity to grow into more advanced data science and entity-resolution work as the function develops.