Data Engineer: Scalable ETL & Analytics (Hybrid)

Socket.dev

Jackson (MI)

Hybrid

USD 90,000 - 130,000

Full time

6 days ago

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Benefits offered by this job

Medical, Dental, Vision

401k with company match

Paid time off

13 paid holidays

Educational Assistance Program

Job summary

Consumers Energy in Michigan seeks a Data Engineer to design, develop, and maintain data pipelines and architectures in line with IT standards. You will partner with analytics teams and business stakeholders to gather requirements and translate them into scalable data solutions.

The role focuses on ETL, data warehouses, data quality, and performance optimization, with guidance from senior engineers. Hybrid work with some onsite days in Jackson, MI is available.

Qualifications

2+ years in data engineering or software engineering.
Strong understanding of ETL and data warehousing concepts.
Experience with data quality and data governance practices.

Responsibilities

Gather and evaluate requirements from data architects and stakeholders.
Assemble, cleanse, and prepare large data sets from multiple sources.
Design and develop scalable data pipelines and ETL processes.
Develop data visualizations and reporting solutions for insights.
Identify opportunities to automate data prep and improve data quality.
Prepare technical documentation and project artifacts.

Skills

Data pipelines

SQL

Python

Communication

Agile

Data modeling

Education

Bachelor's degree in CS/Engineering/Data Science

Associate degree

High School Diploma

Tools

Databricks

Delta Lake

CI/CD

Job description

The role focuses on ETL, data warehouses, data quality, and performance optimization, with guidance from senior engineers. Hybrid work with some onsite days in Jackson, MI is available.

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