Database Admin

Machine Learning Technologies, LLC; Lansing (MI); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a data engineering specialist to support CEPI's SLDS modernization within the CEDS framework. The role focuses on designing, implementing, and expanding data pipelines, performing ETL, and ensuring data quality for reporting and analysis.

The position requires strong SQL data modeling, experience with Azure database services, and extensive ETL development. Collaboration with multiple teams and ensuring data integrity are essential responsibilities.

Qualifications

• Experience with Azure Database services.
• Strong SQL data modeling and database design skills.
• Extensive ETL development experience using industry-standard tools.

Responsibilities

• Designs, implements, and maintains data pipelines including ETL processes; performs data preparation, analysis, and reporting.
• Analyzes and manages databases; participates in data dictionaries, physical/logical models, and performance tuning.

Skills

Azure DB services

SQL data modeling

ETL development

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Position Summary

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).

Responsibilities:

• 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.

Top 3 skills needed:

Azure Database services, SQL Data Modeling/structure, Extensive ETL development experience.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.