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Hire analytics engineers through Recruiting from Scratch. We place analytics engineers who build dbt data models and reliable analytics infrastructure at startups. 29-day average.
An analytics engineer builds and maintains the data models, transformations, and infrastructure that power analytics at a company. They sit between data engineering (building raw data pipelines) and data analysis (consuming clean data) — using tools like dbt to create reliable, tested, documented data models that analysts and data scientists can trust. Analytics engineers emerged as a distinct role with the rise of the modern data stack.
Series A through Series C, when the analytics foundation has grown complex enough that raw data transformations are becoming brittle, undocumented, and hard to maintain. The signal: analysts are spending significant time cleaning data instead of analyzing it, or different teams are computing the same metrics differently and arriving at conflicting numbers.
Based on 105 real postings in our database, the median salary for an Analytics Engineer is $178K. Salaries typically range from $140K to $205K, reflecting variations in experience, location, and company size. We help connect top talent with roles that offer competitive compensation packages.
Through our specialized recruiting process, we typically fill Analytics Engineer roles in just 29 days. This is significantly faster than the industry average of 45-60 days. Our extensive network and efficient screening methods ensure a swift and successful placement for your team.
When hiring an Analytics Engineer, prioritize strong SQL proficiency and a deep understanding of data warehousing concepts. Look for candidates who demonstrate excellent problem-solving abilities and a commitment to data quality and governance. Experience with modern data stacks and cloud platforms is also highly valuable.
Effective assessment involves a combination of technical interviews and practical exercises. We recommend SQL coding challenges to evaluate their data manipulation skills and case studies to test their ability to design data models. Behavioral questions can also reveal their communication style and collaboration potential within a team.
The Analytics Engineer role has seen a significant shift towards remote work, though many companies still offer hybrid or in-person options. We find that flexibility often attracts a wider pool of highly qualified candidates. Our placements include both fully remote and on-site positions, depending on client needs and candidate preferences.
Tell us about your open roles and we'll start sourcing within 48 hours.
