Junior Data Engineer

Job highlights
Identified by Google from the original job post
Qualifications
A valid work permit is necessary in the US
Are you a passionate and detail-oriented individual with a knack for problem-solving?
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
Knowledge of big data technologies and cloud platforms (e.g., Azure Synapse)
Experience with PySpark and Databricks
Benefits
Annual Income: $58K - $76K
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
Responsibilities
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
You'll work alongside a talented team to develop machine learning and AI solutions that will revolutionize CVS Health's IT operations
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
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively
This can help reduce coding errors, improve productivity, and accelerate the development process
Job description
Junior Data Engineer - Hybrid (3 days in office) Job, 1+ Year Experience

Annual Income: $58K - $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.

Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation. Read more