Senior SQL Server / Azure Data Engineer - CEPI

IO Datasphere, Inc.

Lansing (MI)

On-site

USD 110,000 - 150,000

Full time

10 hours ago

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Job summary

CEPI in Lansing, MI is seeking a Senior SQL Server/Azure Data Engineer to lead data warehouse initiatives, manage SQL Server environments, and drive ETL modernization as we move from on-prem to cloud. You will guide data architecture, security, and data modeling to support agency reporting.

This role requires extensive hands-on SQL, T-SQL, ETL development, PowerShell, Azure DevOps, and Scrum experience; you will design pipelines, maintain databases, optimize performance, and coordinate with

Qualifications

12+ years of experience in the field.
8-10+ years experience with TSQL.
6-8+ years experience with ETL development.
5+ years experience with PowerShell.
5+ years experience with Azure DevOps.
5+ years experience with Scrum.
Experience with Azure Database services.
Experience with SQL Data Modeling/structure.
Experience with Extensive ETL development experience.

Responsibilities

Identify, analyze, categorize, synthesize, design, and productive use of business information.
Enforce architectural frameworks; monitor and upgrade server infrastructure.
Designs, implements, and expands data pipelines with ETL; data prep, analysis, and reporting; troubleshoot; collaborate with developers and business teams to deliver high-quality data.
Data analysis and database management; maintenance, enhancement, data dictionaries, models, and performance tuning.
Establishes physical database parameters; uses SQL to define objects and controls access.
Enter SQL to create production databases; monitor performance with utilities; direct programmers and analysts.
Evaluates user requests for new data elements; ensure data integrity; load databases; model data; develop ETLs.
Executes procedures to save, retrieve, and recover databases; assist with security standards and disaster recovery.

Skills

12+ years experience

T-SQL

ETL development

PowerShell

Azure DevOps

Scrum

Azure Database

SQL Data Modeling

ETL development experience

Job description

Client Name Michigan Center for Educational Performance and Information (CEPI)

Requisition 167740

Location Lansing, MI

Duration 1 year

Due Date 11/06/2026

C2C Possible Yes. Rate depends on experience

Interview Method 1st round will be webcam. 2nd round will be in person

NOTE: Candidates MUST be located within 90-100 miles of Lansing, MI at time of submission. Relocation not allowed. Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week. Required onsite days are Wednesdays and Thursdays. We can accept H1b, H4, TN and other valid work visas for IT. However we cannot accept OPT or CPT visas at this time.

Description:

Our client is looking for a Sr SQL Server/Azure Data Engineer to assist with the data warehouse system. This position requires considerable independent judgment directing and coordinating the appropriate data administration and management methods, practices, procedures and tools, to complete the required assignments. Expertise is required in Microsoft SQL Server database support, and professional knowledge on CEDS standard.

This position is heavily involved with strategic and tactical information design, the analysis of business areas, security, and data modeling to meet data collection needs and the transition of ETL process from on premise to cloud servers.

Tasks

Responsibility includes the identification, analysis, categorizing, synthesis, design, and productive use of business information.
Responsible for enforcing/ensuring that the architectural frameworks are properly implemented and enforced, monitoring and upgrading the server infrastructure that supports the database environment.
Designs, implements, and continuously expands/maintains data pipelines by performing extraction, transformation, and loading activities. Responsible for data preparation jobs, data analysis and data reporting. Performs technical troubleshooting, root cause analysis and provides technical expertise for ETL jobs. Collaborates with developers. business and other team members to design and deliver correct high-quality data and to provide advice and support.
Responsible for data analysis and database management. Involved in maintenance, enhancement, designing of data dictionaries, physical and logical database models, and performance tuning. Knowledge of the utilities and production tools used for data storage management to support the Application Team. Coordinates physical changes to computer databases; codes, tests, and implements physical database, applying knowledge of data base management system.
Establishes physical database parameters. Uses structured query language (SQL) to define database objects using database definition language (DDL) and control access to database objects using data control language (DCL). Tests and corrects errors and refines changes to database.
Enters SQL to create production data base. Uses database utility programs and 3rd party utilities to monitor database performance, such as distribution of records and amount of available memory. Directs programmers and analysts to make changes to data base management system. Reviews and corrects programs. Answers user questions. Confers with coworkers to determine impact of data base changes on other systems.
Evaluates users' requests for new data elements and systems, incorporates them into the existing shared data environment, and provides technical assistance. Coordinates the use of data to ensure data integrity and control redundancy, loads databases, and reorganizes as needed. Performs data modeling and prototyping. Responsible for the development of ETLs. Performs logical and physical data modeling, designs relational database models, and creates physical data models from logical data models. Performs security recovery procedures.
Executes the procedures necessary to save, retrieve, and recover databases from hardware and software failures within established procedures. Assists with determining, implementing, and enhancing standards on database security and with monitoring agency disaster recovery procedures and systems.

Environment: Multiple SQL Server instances, Multiple Collection Environments (Development, Quality Assurance/Testing, Pre-Release, and Production), Numerous SQL Reporting Services Servers, 35+ collection databases, 100+ analysis databases

Skills Required