[Hiring] Senior Engineer @Nexus One

Role Description

We're looking for a Senior Engineer to design, build, and maintain the data infrastructure that powers analytics, reporting, and product features across the company. You'll work closely with engineering, analytics, and business stakeholders to turn raw data into reliable, well-modeled, and accessible datasets. This role is a strong fit for someone who enjoys owning pipelines end-to-end and who cares as much about data quality and reliability as about building new capability.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data from a variety of internal and external sources
• Develop and optimize data models and schemas that support analytics, reporting, and downstream application needs
• Monitor pipeline health, troubleshoot data quality issues, and implement alerting and observability practices
• Partner with analytics, product, and engineering teams to understand data needs and translate them into durable data solutions
• Improve performance, scalability, and cost-efficiency of existing data infrastructure
• Write clear technical documentation and contribute to team standards for testing, code review, and deployment
• Participate in on-call or incident response rotations as needed to support production data systems

Qualifications

• 4+ years of professional experience in data engineering or a closely related discipline
• Strong proficiency in SQL and at least one programming language commonly used for data engineering (e.g., Python, Scala, or Java)
• Hands-on experience building and operating ETL/ELT pipelines in a production environment
• Experience working with cloud data platforms (e.g., AWS, GCP, or Azure) and modern data warehousing tools
• Solid understanding of data modeling, data quality, and pipeline orchestration concepts
• Comfort working with large, complex datasets and diagnosing data issues independently

Requirements

• Experience with orchestration tools such as Airflow, Dagster, or similar
• Familiarity with streaming data technologies (e.g., Kafka, Kinesis)
• Experience with dbt or similar transformation frameworks
• Exposure to infrastructure-as-code practices (e.g., Terraform)
• Prior experience supporting analytics or data science teams directly

Benefits

• A collaborative team culture built on curiosity and respect
• Challenging work where your contributions clearly matter
• A leadership team that invests in learning and development
• The opportunity to work at the intersection of cloud, data, and AI innovation