MLOps & Data Engineer: Build Real-Time AI Pipelines

Sierra Nevada Corporation

Lone Tree (CO)

Hybrid

USD 108.000 - 149.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Medical, dental and vision plans
401(k) with matching
Paid time off

Zusammenfassung

Sierra Nevada Corporation is seeking a Data Engineer II to lead the design and optimization of data pipelines powering AI/ML systems. You will collaborate with cross-functional teams, mentor junior engineers, and uphold data governance across the enterprise data warehouse.

You will apply strong SQL, Python, and cloud skills (AWS/Azure/GCP) to build reliable data architectures, feature stores, and model-serving infrastructure while ensuring security and compliance across SNC platforms.

Qualifikationen

  • Bachelor’s degree or higher in CS/Data Eng or related field
  • 2+ years in data engineering or related role
  • Experience with ETL/orchestration tools like Airflow, dbt, or Prefect
  • Cloud experience with AWS, Azure, or Google Cloud
  • Strong SQL and Python skills; knowledge of data modeling and data governance

Aufgaben

  • Oversee design and development of data pipelines and transformations feeding AI/ML systems
  • Collaborate with AI/LLM Platform and engineering teams on data and model requirements
  • Mentor junior data engineers
  • Enforce best practices for data engineering processes
  • Implement data integration, data management, and data quality solutions
  • Test, debug, and optimize pipelines and model serving infrastructure
  • Ensure data security and compliance with CMMC and SNC standards
  • Maintain documentation for data processes
  • Operate feature stores and model serving infrastructure for real-time and batch inference
  • Manage graph and relational data stores for knowledge graphs and entity resolution
  • Monitor pipeline and model health; participate in on-call rotation

Kenntnisse

SQL
Airflow
dbt
Prefect
Python
Spark
MLflow
Weights & Biases
Kubeflow
AWS
Redshift
Glue

Ausbildung

Bachelor’s degree in Computer Science/Data Engineering or related field
2+ years of data engineering experience
Higher degree may substitute for experience
6+ years of experience in absence of degree

Tools

AWS
Azure
Google Cloud
S3
Redshift
Glue
Airflow
dbt
Prefect
Spark

Jobbeschreibung

Sierra Nevada Corporation is seeking a Data Engineer II to lead the design and optimization of data pipelines powering AI/ML systems. You will collaborate with cross-functional teams, mentor junior engineers, and uphold data governance across the enterprise data warehouse.

You will apply strong SQL, Python, and cloud skills (AWS/Azure/GCP) to build reliable data architectures, feature stores, and model-serving infrastructure while ensuring security and compliance across SNC platforms.

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