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Posted 45d ago (Aug 1, 24)

Junior Data Engineer

πŸ‡ΊπŸ‡Έ United States$57k - $76kFull-timePythonJavaSQLETL toolsKafkaAzure SynapsePySparkDatabricks

This is a remote position.

Junior Data Engineer - Remote Job, 1+ Year Experience

Annual Income: $57K - $76K

A valid work permit is necessary in the US

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

Are you a passionate and detail-oriented individual with a knack for problem-solving? Do you thrive in a fast-paced, collaborative environment? If so, then this Junior Data Engineer role at CVS Health could be your perfect match!

In this exciting role, you'll play a key role in building and scaling our cutting-edge AIOps platform. You'll work alongside a talented team to develop machine learning and AI solutions that will revolutionize CVS Health's IT operations.

Here's what you'll do:

  • Design, implement, and manage data pipelines to extract, transform, and load data for analysis and insights.
  • Develop and automate data cleaning, transformation, and preparation processes to ensure data quality and consistency.
  • Integrate data from various sources to create a unified view of our IT infrastructure and applications.
  • Leverage big data technologies like Kafka to handle large data volumes efficiently.
  • Implement data security measures to safeguard sensitive information.
  • Create and maintain documentation for data processes, data flows, and system configurations.
  • Continuously monitor and optimize data pipelines and systems for performance, scalability, and cost-effectiveness.

To be successful, you'll need:

  • 2+ years of programming experience in Python, Java, and SQL.
  • 2+ years of experience with ETL tools and database management (relational and non-relational).
  • 2+ years of experience with data modeling techniques and tools for designing efficient data structures.
  • Strong skills in data quality assessment, cleansing, and validation.
  • Excellent communication, collaboration, and problem-solving skills.
  • A meticulous attention to detail and a strong work ethic.

Bonus points if you have:

  • Knowledge of big data technologies and cloud platforms (e.g., Azure Synapse).
  • Experience with PySpark and Databricks.

We offer:

  • The opportunity to work on a cutting-edge AIOps platform that's transforming healthcare.
  • A collaborative and supportive work environment where you can learn and grow.
  • A chance to make a real impact on the success of CVS Health.

Please note: While this role is fast-paced, we value work-life balance and offer a comprehensive benefits package.

Salary and compensation

$57,000 - $76,000 per year

Benefits

Comprehensive benefits packageCollaborative and supportive work environmentOpportunity to work on a cutting-edge AIOps platformChance to make a real impact on the success of CVS Health
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