Senior Data Engineer

CFS; East Lansing (MI); On-site; USD 125,000 - 155,000; Full time

Benefits offered by this job

Free Healthcare options

Retirement Plan w/ match

PTO 3.5 Weeks

Job summary

CFS is seeking a Data Engineer in East Lansing, MI to build and maintain scalable data solutions using Microsoft Fabric and Power BI. Strong SQL skills and enterprise data warehouse experience are required.

You will develop data pipelines, ETL/ELT workflows, and semantic models to support analytics across teams, ensuring data quality and performance. This onsite role offers growth in a modern, collaborative environment.

Qualifications

• Strong SQL skills and experience with data modeling.
• Experience building data pipelines for enterprise warehouses.
• Knowledge of analytics and reporting data needs.

Responsibilities

• Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems.
• Develop and optimize ETL/ELT workflows using Microsoft Fabric Data Factory.
• Write advanced SQL queries, stored procedures, and functions for high-performance data operations.
• Apply best practices in data modeling for enterprise-scale data warehouses.
• Architect and manage data warehouse solutions using Microsoft Fabric Data Warehouse and OneLake.
• Ensure data consistency, reliability, and scalability across reporting and analytics platforms.
• Collaborate with developers to structure data for Power BI usage, including semantic modeling and partitioning.
• Work with analysts and stakeholders to gather requirements and deliver clean, actionable datasets.
• Provide guidance on SQL optimization, data governance, and reporting standards.

Skills

SQL

ETL/ELT

Data modeling

Data warehousing

Analytics

Tools

Azure Data Factory

Databricks

OneLake

Power BI

Data Warehouse

Job description

Position

Data Engineer

Job Type

Permanent or Contract-to-Hire

Salary

$125,000 - 155,000

Benefits

• Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc.

Location

East Lansing, MI area (Onsite)

Why You Should Apply

• Outstanding culture with a family-oriented feel, where technology is highly valued.
• Competitive compensation and benefits package with $0 cost healthcare options.
• Work in a modern environment with the latest tools, collaborative spaces, and a strong focus on professional growth.

Job Summary

We are seeking a Data Engineer with strong SQL skills and hands-on experience working with enterprise data warehouse environments. This role will play a key part in building and maintaining scalable data solutions using Microsoft Fabric and Power BI. If you're passionate about transforming raw data into meaningful insights and enjoy collaborating across teams to support analytics initiatives, this could be a great fit.

Responsibilities Of The Senior Data Engineer

• Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems.
• Develop and optimize ETL/ELT workflows using Microsoft Fabric Data Factory.
• Write advanced SQL queries, stored procedures, and functions to support high-performance data operations.
• Apply best practices in data modeling for enterprise-scale data warehouse environments.
• Architect and manage data warehouse solutions using Microsoft Fabric’s Data Warehouse and OneLake.
• Ensure consistency, reliability, and scalability of data across reporting and analytics platforms.
• Work closely with developers to structure data for efficient Power BI usage, including semantic modeling and partitioning.
• Collaborate with business analysts and stakeholders to gather requirements and deliver clean, actionable datasets.
• Provide guidance on SQL optimization, data governance, and reporting standards.

Preferred Experience Of The Senior Data Engineer

• Advanced SQL skills, including query tuning, indexing, and performance optimization.
• Experience with enterprise data warehouse architecture and implementation.
• Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI.
• Solid understanding of data modeling techniques (e.g., star schema, snowflake schema, normalization).
• Experience with data integration, data orchestration and data ingestion
• Familiarity with ETL/ELT processes and orchestration frameworks.
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication and collaboration skills.
• Comfortable working in agile, fast-paced environments.
• Bonus: Experience with real-time analytics and large-scale data processing.
• Bonus: Experience with Microsoft Fabric