Senior Data Engineer

Harnham Inc.
Orange County, CA, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$160,000 - $180,000
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Big Data Computer Programming Information Engineering Data Security Python (Programming Language) SQL Databases Cloud Platform System Apache Spark Containerization Pyspark

Job description

As a Senior Data Engineer you will help build and evolve the systems that power internal data products and operational insights.

Requirements

  • 5+ years of experience in data engineering or backend engineering \n

  • Strong programming skills in Python or a comparable language \n

  • Hands on experience with Spark, PySpark, SQL, and dbt \n

  • Experience working with large scale data platforms in cloud environments such as AWS, Azure, or GCP \n

  • Familiarity with containerization and modern deployment practices \n

  • Ability to work autonomously in fast moving environments, * Strong ownership mindset and attention to data security and reliability

Benefits & conditions

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  • Design and build scalable data pipelines and transformation frameworks for high volume data processing \n

  • Own data ingestion and egress systems that integrate multiple operational data sources \n

  • Develop secure, reliable data models that power internal data products and applications \n

  • Partner with engineering, product, and operations teams to translate business needs into production grade systems \n

  • Implement and advocate for best practices across data modeling, testing, CI/CD, and security \n

  • Debug, monitor, and optimize complex transformation pipelines in production environments \n

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