Senior Data Engineer: Build Scalable AI-Ready Pipelines

NexusOne; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

NexusOne in Atlanta, GA is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure powering analytics, reporting, and product features. You will own end-to-end pipelines and collaborate with analytics, product, and engineering teams to turn raw data into reliable, well-modeled datasets.

The role emphasizes data quality, observability, and cost efficiency, with opportunities to work on ETL/ELT pipelines, data models, and production-grade tooling.

Qualifications

• 4+ years of professional experience in data engineering.
• Strong proficiency in SQL and at least one programming language used for data engineering (Python/Scala/Java).
• Hands-on experience building and operating ETL/ELT pipelines in production.
• Experience with cloud data platforms (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 ingesting data from multiple sources.
• Develop and optimize data models and schemas to support analytics and downstream applications.
• Monitor pipeline health, troubleshoot data quality issues, and implement observability practices.
• Partner with analytics, product, and engineering teams to translate data needs into durable solutions.
• Improve performance, scalability, and cost-efficiency of existing data infrastructure.
• Write clear technical documentation and contribute to testing, reviews, and deployment standards.
• Participate in on-call rotations to support production data systems.

Skills

SQL

Python/Scala/Java

ETL/ELT pipelines

Cloud data platforms

Data modeling

Data quality

Observability

Tools

Airflow

Dagster

dbt

Terraform

Job description

NexusOne in Atlanta, GA is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure powering analytics, reporting, and product features. You will own end-to-end pipelines and collaborate with analytics, product, and engineering teams to turn raw data into reliable, well-modeled datasets.

The role emphasizes data quality, observability, and cost efficiency, with opportunities to work on ETL/ELT pipelines, data models, and production-grade tooling.