Senior Data Infrastructure Engineer: Scale AI-Ready Pipelines

Nexus One; United States; Remote; USD 130,000 - 170,000; Full time

Job summary

Nexus is leading the way in data infrastructure to power analytics, reporting, and product features across the company. You will design, build, and maintain end-to-end data pipelines with a focus on reliability and scalability.

You’ll collaborate with analytics, product, and engineering teams, own data modeling and quality, and drive observability to keep data trust high. This role sits at the intersection of cloud, data, and AI-enabled initiatives.

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

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

Skills

SQL

Python/Scala/Java

ETL/ELT pipelines

Data modeling

Cloud platforms (AWS/GCP/Azure)

Data quality

Observability/Monitoring

Large datasets

Tools

Airflow

Dagster

Kafka

Kinesis

dbt

Terraform

Job description

Nexus is leading the way in data infrastructure to power analytics, reporting, and product features across the company. You will design, build, and maintain end-to-end data pipelines with a focus on reliability and scalability.

You’ll collaborate with analytics, product, and engineering teams, own data modeling and quality, and drive observability to keep data trust high. This role sits at the intersection of cloud, data, and AI-enabled initiatives.