Staff Data Engineer - Remote

Overview

Join the Team

Serv, a global executive recruitment partner, is hiring on behalf of our client Mercator.ai for a Staff Data Engineer (Data Pipelines).

MercatorAI is building scalable data infrastructure to power high-quality, data-driven decision making at scale. As an early-stage company, the team is focused on creating robust, future-ready systems that can handle complex data ingestion, transformation, and delivery across a growing national footprint.

This role is responsible for owning and evolving the company’s data pipeline architecture, ensuring systems are scalable, reliable, and built to support long-term growth.

In Short

• The Staff Data Engineer is the technical owner of MercatorAI’s data infrastructure and pipeline systems.
• This individual will lead the design, development, and scaling of distributed data pipelines while remaining hands-on in implementation.
• This is a builder role suited for someone who enjoys working directly in the code while also setting architectural direction.
• You will be responsible for scaling existing systems, improving performance and reliability, and integrating modern tools including AI-assisted workflows.
• This role requires strong technical depth, ownership, and the ability to operate effectively in a fast-paced environment.

Requirements

• 5+ years of experience in Data Engineering with a track record of scaling systems.
• Expert proficiency in Python and advanced SQL, including performance tuning and optimization.
• Strong experience with workflow orchestration tools such as Airflow or Prefect and transformation tools such as dbt.
• Proven experience building resilient web scraping systems using Playwright, Selenium, and BeautifulSoup.
• Deep understanding of relational and NoSQL databases including Postgres, MongoDB, and ElasticSearch.
• Experience working with large-scale data systems such as BigQuery.
• Strong proficiency with CI/CD pipelines, Git, and Docker.
• Experience designing and maintaining distributed systems with high availability and fault tolerance.

Benefits

• Opportunity to lead and shape the data engineering function.
• Work in a fast-paced, innovative environment.
• Competitive salary and benefits package.
• Remote work flexibility with a preference for Eastern timezone.
• Mentorship opportunities and a chance to elevate teammates.
• Engage with modern technologies and AI-assisted workflows.
• Cultivate a culture of curiosity and continuous improvement.