Data Engineer II

ICONMA; Myrtle Point (OR); Remote; USD 100,000 - 130,000; Full time

Job summary

A Consumer Goods and Software Services company is seeking a Data Engineer II for remote work. The successful candidate will assist in building and maintaining essential ML data pipelines. Candidates should have over 5 years of experience, strong proficiency in Python, and experience with cloud platforms. This role offers health benefits and excellent growth opportunities.

Benefits

Health Benefits

Referral Program

Excellent growth and advancement opportunities

Qualifications

• >5 years experience in data engineering.
• Experience with data validation, cleansing, and transformation.
• Ability to automate repetitive tasks.

Responsibilities

• Assist team in building and maintaining ML data pipelines.

Skills

Cloud platforms (AWS, Azure, GCP)

Python proficiency

Data quality focus

Scripting and automation

Fluent in English or Farsi

Job description

Overview

Our Client, a Consumer Goods and Software Services company, is looking for a Data Engineer II for their Remote location.

Responsibilities

• Assist team in building, maintaining, and running essential ML Data Pipelines.

Requirements

• Minimum Requirements: >5yr experience
• Experience with cloud platforms (AWS, Azure, GCP)
• Strong Data quality focus: Implementing data validation, cleansing, transformation
• Data Versioning
• Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy).
• Experience with distributed computing
• Experience dealing with image-type and array-type data
• Able to automate repetitive tasks and processes
• Experience with scripting and automation tools
• Able to execute tasks independently and creatively
• Languages: Fluent in English or Farsi

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.