Data Engineer (PRG)

HERZUM; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Data Engineer to join their remote team. The role involves designing data pipelines, ensuring data quality, and collaborating with engineers and data scientists. Ideal candidates should have strong software and data engineering skills, particularly in Python and PySpark, and experience with Azure services.

Qualifications

• Proficiency in at least one programming language, Python preferred.
• Good knowledge of distributed computing frameworks, PySpark is a must-have.
• Experience with CI/CD processes and data testing.

Responsibilities

• Design and implement data pipelines in collaboration with data users.
• Ensure reliability, data quality, and optimal performance of data assets.
• Work with solution engineers and data scientists to deliver products.

Skills

software

data engineering

Python

distributed computing frameworks

data modeling

data architecture concepts

CI/CD processes

data testing

monitoring

communication

Tools

PySpark

Delta Lake protocol

Lakehouse architectures

Databricks

Azure services

Azure Data Factory

Synapse Analytics

Fabric

YAML

Job description

We are much more than just an IT consulting company: we are innovators, pioneers, and excellence partners. As one of the largest Atlassian partners in the world, we lead organizations into the future with cutting-edge technological solutions. Founded in Chicago in 2000, we now operate in Italy, the United States, India, Switzerland, Ecuador, and the United Kingdom, with the ambition to continue expanding. We specialize in Agile, DevOps, and team collaboration technologies, offering strategic consulting and tailored solutions for SMEs and large enterprises. Every project we undertake is an opportunity to innovate and redefine industry standards.

The Role

Herzum is seeking a Data Engineer to join our team and support one of our Clients.

Key responsibilities:

• Design and implement data pipelines in collaboration with our data users and other engineering teams.
  
• Ensure reliability, data quality and optimal performance of our data assets.
  
• Transpose complex business and analytics requirements into high-quality data assets.
  
• Deliver high-quality code, focusing on simplicity, performance and maintainability.
  
• Where applicable, re-design and implement existing data pipelines to leverage the newest technologies and best practice.
  
• Work with solution engineers, data scientists and product owners to deliver end to end products.
  
• Support our partners with proof of concept initiatives and data related technical questions.

Required skills:

• Excellent software/data engineering skills and proficiency in at least one programming language, Python preferred.
  
• Good knowledge of distributed computing frameworks, PySpark is a must-have, with others being an advantage.
  
• Familiarity with system design, data structures, algorithms, storage systemsand cloud infrastructure.
  
• Understanding of data modeling and data architecture concepts.
  
• Experience with CI/CD processes as well as data testing and monitoring.
  
• Knowledge of Delta Lake protocol and Lakehouse architectures.
• Experience with Databricks and Azure services for data, such as Azure Data Factory, Synapse Analytics or Fabric.

Additional skills:

• Ability to work effectively in teams with both technical and non-technical individuals.
  
• Ability to communicate complex technical concepts and results in a clear and detailed manner to non-technical audiences.
• Excellent verbal and written communication skills.
  
• Experience with YAML is a plus.
  

Work mode: full remote

Join Us! Become part of a team driven by innovation, belief in talent, and a commitment to excellence. Your next career step starts here.

This announcement is addressed to both sexes, in accordance with Laws 903/77 and 125/91, and to people of all ages and nationalities, in accordance with Legislative Decrees 215/03 and 216/03.

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