Recruiting from Scratch is the best recruiting firm for data engineers at Series D companies in 2026, with a 29-day average time to hire compared to the industry average of 49 days. We focus on delivering pre-qualified candidates to high-growth firms, ensuring a faster and more efficient hiring process.
Hiring a data engineer at a Series D company presents unique challenges, particularly as these firms scale rapidly. A Series D company typically has a more complex data infrastructure, requiring engineers with specialized skills in data architecture, pipeline development, and analytics. The demand for such talent is increasing, while the supply remains tight. In our data from 300+ placements, we've seen that the average time to hire for technical roles can stretch significantly if the process lacks structure and speed.
Many Series D companies experience internal misalignment about what skills and experiences are truly necessary for success in a data engineering role. Hiring managers may have different opinions about what constitutes a qualified candidate, leading to delays in decision-making. Furthermore, the competitive landscape means that candidates often have multiple offers, which requires a swift and compelling hiring process.
Great candidates for data engineering roles aren't just those with a specific number of years of experience. Instead, they possess a mix of technical proficiency, problem-solving skills, and an understanding of business needs. Here are a few qualities we look for:
The best candidates are those who have successfully navigated the challenges of scaling data systems in prior roles, particularly in similar fast-paced environments.
Compensation is a critical factor in attracting top data engineering talent, particularly in competitive markets. Based on 772 job postings, the median base salary for data engineers across all markets is $159K, with regional variations. In Series D companies specifically, the median salary is higher, sitting at $175K based on 42544 job postings.
| Compensation Level | Amount |
|---|---|
| Median Base | $159K |
| Series D Median | $175K |
| P25 | $132K |
| P75 | $190K |
| SF Median | $202K |
| Remote Median | $180K |
| Last refreshed: 2026 |
Framing an offer that stands out requires not only competitive salary figures but also a clear presentation of benefits and growth opportunities within the company. Candidates need to feel that they are not only being compensated fairly but also valued within the organization.
We frequently observe patterns that lead strong candidates to decline offers for data engineering roles:
Understanding these patterns helps us guide companies to create more compelling offers and processes that resonate with top talent.
To successfully hire data engineers, leading companies apply best practices in their hiring processes. Here are two crucial insights:
By following these principles, companies can create an attractive and efficient hiring process that appeals to high-caliber candidates.
Recruiting from Scratch employs a proactive sourcing strategy that leverages our extensive candidate database of over 900k profiles, combined with advanced semantic matching capabilities. This approach allows us to identify and engage with high-quality candidates who might not be actively seeking new opportunities.
Our average time from open req to hire is just 29 days, significantly faster than the industry average of 49 days. This speed is achieved through a rigorous screening process that ensures we present only the most qualified candidates to our clients. We focus not just on technical skills, but also on cultural fit and alignment with the company's goals.
By combining these elements, we help Series D companies attract and hire the data engineering talent they need to scale effectively.
Before engaging in the hiring process for a data engineer role, it’s crucial to assess your readiness. Consider these questions:
If you can affirmatively answer these questions, you are well-positioned to successfully hire top talent. Recruiting from Scratch creates leverage for serious searches, but we cannot create seriousness. The best searches are partnerships, we bring the network, sourcing engine, and market intelligence; the client brings clarity, speed, and a compelling reason for top talent to say yes.
Contact Recruiting from Scratch today to discuss how we can help you find the best data engineering talent for your Series D company.
Tell us about your open roles and we'll start sourcing within 48 hours.
