Hybrid Senior Data Engineer - Data Pipelines & Analytics

Consumers Energy; Jackson (MI); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Medical benefits

401k with match

Parental leave

Paid holidays

Paid time off

Educational assistance

Job summary

Consumers Energy in Michigan seeks a Senior Data Engineer to design and build data pipelines, ETL processes, and analytic tools to enable enterprise insights. This role involves collaborating with analytics teams and business partners, and working within a hybrid schedule with required onsite days in Jackson, MI.

The ideal candidate has strong Databricks, Delta Lake, and data warehousing experience, plus the ability to lead data initiatives and ensure data quality.

Qualifications

• Bachelor's degree in Data Engineering, Computer Science, Engineering, Data Sciences or related field with 4+ years in Data Engineer role.
• Associate degree with 6+ years in Data Engineer role and related experience.
• High School Diploma with 8+ years in Data Engineer role and related experience.

Responsibilities

• Provide technical leadership for incident management and support for current applications/solutions.
• Assemble and clean large data sets from diverse sources to meet business requirements.
• Build analytic tools and data pipelines to enable insights on customer acquisition and operations.
• Design and build efficient data pipelines and ETL processes for medium to large projects.
• Create complex data visualizations for customer insights and performance metrics.

Skills

Big data handling

Data modeling

Agile delivery

Strong communicator

Vendor collaboration

Education

Bachelor's degree in data engineering / CS / related field

Associate degree in data engineering / related field

High school diploma with extensive experience

Tools

Databricks

Delta Lake

Delta Live Tables

Unity Catalog

Databricks Workflows

Databricks Asset Bundles

Job description

Consumers Energy in Michigan seeks a Senior Data Engineer to design and build data pipelines, ETL processes, and analytic tools to enable enterprise insights. This role involves collaborating with analytics teams and business partners, and working within a hybrid schedule with required onsite days in Jackson, MI.

The ideal candidate has strong Databricks, Delta Lake, and data warehousing experience, plus the ability to lead data initiatives and ensure data quality.