
Senior SQL Server Database Developer – Azure & ETL - Hybrid,In Person Interview
Lansing, MI · HybridJobSeen todaySeen in employer's feed today
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Job overview
This position supports CEPI’s database environment, primarily for modernization of the Statewide Longitudinal Data System using Common Education Data Standards. The role serves as the subject matter expert for the data warehouse, directing data administration and management and supporting strategic information design, security, data modeling, and migration of ETL processes from on-premises to cloud servers. It also oversees implementation of architectural frameworks and database infrastructure.
Skills & qualifications
Skills
Qualifications
Full job description
In Person Interview *** Very long term project; initial PO for 1 year and usually the project goes for 3-5 years with this customer *** HybridNeed 2-3 professional referencesLocal candidates only
Job Description
This position supports the Center for Educational Performance and Information (CEPI) database environment primary for the Statewide Longitudinal Data System (SLDS) modernization with the Common Education Data Standards (CEDS). The database environment includes:
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Multiple SQL Server instances
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Multiple Collection Environments (Development, Quality Assurance/Testing, Pre-Release, and Production)
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Numerous SQL Reporting Services Servers
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35+ collection databases
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100+ analysis databases
This position is the Subject Matter Expert (SME) for the CEPI SLDS data warehouse and 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. Responsibility includes the identification, analysis, categorizing, synthesis, design, and productive use of business information. In addition, this position is responsible for enforcing/ensuring that the architectural frameworks are properly implemented and enforced, monitoring and upgrading the server infrastructure that supports the database environment.
Roles and responsibilities:
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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.
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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 database management system.
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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.
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Enters SQL to create production database. 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 database management system. Reviews and corrects programs. Answers user questions. Confers with coworkers to determine impact of database changes on other systems.
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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.
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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.
Top 3 skills needed:
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Azure Database services
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SQL Data Modeling/structure
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Extensive ETL development experience
Minimum Years experience required: 12
Requirement Years of Experience
TSQL 8-10 years
ETL development 6-8 years
PowerShell 5 years
Azure DevOps 5 years
Scrum 5 years
How this job compares
Set against the 6,316 open Data Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- Michigan median$107–208K/yr80 salary ranges
- US median$60–74/hr278 hourly ranges
- Openings
- Olive Jobs lists 110 open Data Engineer jobs in Michigan and 6,316 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Michigan
- Deloitte26 open
- Accenture9 open
- General Motors9 open
- Experience
- This posting asks for at least 12 years of experience — more than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,498 postings).
- Education
- 2,401 of the 6,316 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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