Remote Azure Data Engineer - ET/CT Time Zone

Bull City Talent Group; Pennsylvania; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive base salary and bonus opportunities

Paid time off (three-week minimum)

Medical, dental and vision starting day one

401(k) with employer match

Paid parental leave

Child and family care assistance

Tuition assistance

Wellness program savings on insurance premiums

Job summary

Bull City Talent Group is hiring a Data Engineer to work remotely from the Eastern or Central Time Zone. The ideal candidate will design and implement data architecture, collaborate closely with stakeholders, and develop effective data pipelines.

Qualifications include a Bachelor's degree in a related field and 3 years of experience in data engineering solutions. This role offers a competitive salary, comprehensive benefits package, and a supportive team environment.

Qualifications

• 3 years of experience in designing and implementing data engineering solutions on-prem/cloud.
• Strong proficiency in SQL and Python.
• Good knowledge of ETL/ELT processes and data integration patterns.

Responsibilities

• Design and implement data architecture and ETL solutions.
• Collaborate with business stakeholders and data scientists to define data requirements.
• Develop data ingestion pipelines and frameworks to integrate data into the data warehouse.

Skills

SQL

Python

ETL Tools

Data Modeling Principles

Data Warehousing Concepts

Problem-Solving Skills

Communication Skills

Education

Bachelor’s degree in computer science, Information Technology, Engineering, or related field

Tools

ADF

Azure Databricks

QlikView

Tableau

Power BI

Job description

Bull City Talent Group is hiring a Data Engineer to work remotely from the Eastern or Central Time Zone. The ideal candidate will design and implement data architecture, collaborate closely with stakeholders, and develop effective data pipelines.

Qualifications include a Bachelor's degree in a related field and 3 years of experience in data engineering solutions. This role offers a competitive salary, comprehensive benefits package, and a supportive team environment.