Data Engineer: Build Scalable, Real-Time Data Pipelines

Astronautics-Corporation-of-America-1; Oak Creek (WI); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Astronautics seeks a Data Engineer to design and maintain scalable data infrastructure across the organization's data ecosystem. You will build robust ETL/ELT pipelines and collaborate with data scientists, analysts, and business stakeholders to enable data-driven decisions.

You will work in a hybrid on-site role at our Oak Creek, WI headquarters, reporting to the Senior Manager, Business Intelligence. Strong SQL and cloud experience are essential, with hands-on tools like Airflow, Docker, and

Qualifications

• Must be a U.S. person per export regulations.
• Degree in CS/Engineering/Math/Statistics or related field.
• Minimum three years as Data Engineer or similar role.

Responsibilities

• Design, build, and maintain scalable data architectures.
• Develop end-to-end ETL/ELT pipelines for batch and real-time data.
• Evaluate and implement new data technologies and cloud services.
• Optimize pipeline performance, cost, and scalability.
• Model data and manage storage (RDBMS/NoSQL/object storage).
• Enforce data quality, security, and governance controls.
• Collaborate with data architects, BI, analysts, and stakeholders.

Skills

SQL

Python

Java/Scala

Cloud platforms

Data warehousing

Data governance

CI/CD

Docker

Kubernetes

Airflow/Prefect/Dagster

ML basics

Education

Bachelor's degree

Master's degree

Tools

Docker

Kubernetes

Airflow/Prefect/Dagster

Job description

Astronautics seeks a Data Engineer to design and maintain scalable data infrastructure across the organization's data ecosystem. You will build robust ETL/ELT pipelines and collaborate with data scientists, analysts, and business stakeholders to enable data-driven decisions.

You will work in a hybrid on-site role at our Oak Creek, WI headquarters, reporting to the Senior Manager, Business Intelligence. Strong SQL and cloud experience are essential, with hands-on tools like Airflow, Docker, and