Senior Data Engineer: Data Pipelines & Insights Leader

Ameren

St. Louis (MO)

On-site

USD 105,000 - 204,000

Full time

2 days ago
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Benefits offered by this job

Medical coverage on date of hire
100% employer paid pension
401(k) with company match
15 days paid vacation and 12 holidays
Paid parental leave & family caregiver

Job summary

Ameren Services (B&CS) is seeking a Senior/Lead Data Engineer to generate reports and data sets, design data models, and lead enterprise-wide data integration. You will consolidate diverse sources, develop end-user portals, and work with cross-functional teams to drive data-driven decision making.

The role emphasizes ETL, data warehousing, and scalable data solutions across platforms, with strong collaboration with Data Scientists and stakeholders.

Qualifications

  • Bachelor’s degree in mathematics, statistics, computer science or business.
  • 5+ years of relevant experience.
  • Experience with data warehouses, ETL processes and data integration.

Responsibilities

  • Analyses data from multiple sources and consolidates into usable data assets.
  • Designs and maintains data models, reports and dashboards for end users.
  • Leads data integration and warehousing initiatives across platforms and teams.
  • Collaborates with Data Scientists to align architecture with project needs.
  • Translates business requirements into scalable data solutions aligned to enterprise goals.

Skills

Data pipelines
Data architectures
Data modeling
Cloud architecture
Big data querying tools
Agile development
Project management
Analytical thinking

Education

Bachelor’s degree

Job description

Ameren Services (B&CS) is seeking a Senior/Lead Data Engineer to generate reports and data sets, design data models, and lead enterprise-wide data integration. You will consolidate diverse sources, develop end-user portals, and work with cross-functional teams to drive data-driven decision making.

The role emphasizes ETL, data warehousing, and scalable data solutions across platforms, with strong collaboration with Data Scientists and stakeholders.

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