Data Engineer — Build Scalable Data Pipelines (Remote)

Adroit; Phoenix (AZ); Hybrid; USD 75,000 - 125,000; Full time

Benefits offered by this job

Comprehensive health, dental and vision insurance

Hybrid / remote work options

Learning budget for certifications

Job summary

A premier IT solutions company in Phoenix is seeking a Data Engineer to design and maintain data pipelines and integration layers for analytics and machine learning initiatives. The successful candidate will have at least 2 years of experience, proficiency in Python and SQL, and familiarity with tools like Airflow and dbt. This role offers a competitive salary and benefits including health insurance, a hybrid working model, and a professional development budget.

Qualifications

• 2+ years of professional data engineering experience.
• Proficiency in Python 3 for data processing and workflow automation.
• Strong SQL skills and experience with at least one cloud data warehouse.

Responsibilities

• Build and maintain ELT/ETL pipelines using Python, dbt, and Airflow.
• Design and implement data models in cloud warehouses.
• Ensure data quality through testing and validation.

Skills

Proficiency in Python 3

Strong SQL skills

Experience with ELT/ETL orchestration tools

Understanding of data modeling

Tools

Apache Airflow

dbt

Snowflake

BigQuery

Redshift

Job description

A premier IT solutions company in Phoenix is seeking a Data Engineer to design and maintain data pipelines and integration layers for analytics and machine learning initiatives. The successful candidate will have at least 2 years of experience, proficiency in Python and SQL, and familiarity with tools like Airflow and dbt. This role offers a competitive salary and benefits including health insurance, a hybrid working model, and a professional development budget.