Associate-Graduate Developer (Data Engineering)

TL;DR

Associate Data Engineer (Python/SQL): Building and maintaining data applications and processing pipelines for various clients with an accent on clean code and iterative delivery. Focus on implementing Big Data technologies, optimizing SQL queries, and collaborating in a pair programming environment.

Location: Remote within the US (East & Central Time Zones). Must be authorized to work in the United States on a full-time basis without employer sponsorship.

Salary: $83,000 — $88,000 USD

Company

A leading technology consultancy that helps clients solve complex business problems using technology as a differentiator.

What you will do

• Write clean, iterative code using pair programming best practices.
• Build data processing pipelines to solve diverse client challenges.
• Apply the latest Big Data technologies and data engineering practices.
• Implement continuous delivery practices to enhance software delivery.
• Collaborate in cross-functional teams to create innovative customer experiences.
• Integrate data quality measures into daily development and delivery processes.

Requirements

• Must be authorized to work in the United States on a full-time basis without sponsorship now or in the future.
• Strong foundational knowledge of Python and Object-Oriented (OO) concepts.
• Working knowledge of writing and optimizing SQL queries.
• Basic conceptual understanding of data modeling and clean-code practices.
• Ability to thrive in a collaborative, transparent, and flat organizational environment.

Nice to have

• Exposure to cloud data platforms such as Snowflake or Databricks.

Culture & Benefits

• First Year Experience program including immersive training at hirify.global University.
• Culture of cultivation with interactive tools and numerous development programs.
• Collaborative, flat environment valuing transparency, feedback, and openness.
• Commitment to fairness and responsible use of AI in recruitment.
• Equal-opportunity employer with a focus on diversity and inclusion.