Data Platform Engineer

Astronautics Corporation of America

Oak Creek (WI)

Hybrid

USD 90,000 - 130,000

Full time

4 days ago
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Job summary

Astronautics Corporation of America in Oak Creek, WI is seeking a Data Engineer to design, build, and maintain robust data infrastructure across the organization. You will transform raw data into accessible datasets to empower data scientists, analysts, and business stakeholders.

The role emphasizes data architecture, ETL/ELT pipelines, cloud platforms (GCP, AWS, Azure), data governance, and collaboration with BI and analytics teams to deliver reliable, scalable data solutions.

Qualifications

  • Bachelor's degree in a related field from an accredited institution.
  • 3+ years of experience as a Data Engineer or similar role.

Responsibilities

  • Data Architecture Design: Design scalable data architectures including data lakes, warehouses, and streaming platforms.
  • End-to-End Data Pipeline Development: Build and maintain ETL/ELT pipelines for batch and real-time data.
  • Technology Evaluation & Implementation: Research and integrate new data technologies and cloud services.
  • Performance Optimization: Optimize pipeline performance, scalability and cost efficiency.
  • Data Modeling & Storage: Implement data models and manage relational, NoSQL, and object storage.
  • Data Governance & Security: Enforce data quality, validation, privacy, and compliance.
  • Cross-Functional Collaboration: Work with data architects, BI specialists, analysts and stakeholders.

Skills

SQL
Python
Java
Scala
Analytical skills
Problem solving

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field

Tools

Google Cloud Platform
AWS
Azure
Airflow
Prefect
Dagster
BigQuery
Dataflow
Cloud Storage
Dataproc
Data Catalog
Docker
Kubernetes

Job description

Astronautics Corporation of America in Oak Creek, WI is seeking a Data Engineer to design, build, and maintain robust data infrastructure across the organization. You will transform raw data into accessible datasets to empower data scientists, analysts, and business stakeholders.

The role emphasizes data architecture, ETL/ELT pipelines, cloud platforms (GCP, AWS, Azure), data governance, and collaboration with BI and analytics teams to deliver reliable, scalable data solutions.

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