Top 10 Careers in Data

Opinions may vary...

Would you re-order these?

Machine Learning Engineer $$$$$

  • Develop and deploy AI models

  • Optimize machine learning algorithms for efficiency

  • Work with big data frameworks to process large datasets

Data Scientist $$$$$

  • Build predictive models and machine learning algorithms

  • Analyze large datasets to identify trends and insights

  • Communicate findings to stakeholders and guide business decisions

Data Engineer $$$$

  • Design, build, and maintain data pipelines

  • Optimize databases and data warehouses for performance

  • Ensure data integrity, security, and accessibility

Data Architect $$$$

  • Design enterprise data infrastructure

  • Ensure scalability and security of data systems

  • Define best practices for data management

Database Developer $$$$

  • Design, develop, and optimize database structures (tables, indexes, constraints)

  • Write and tune SQL queries, stored procedures, and functions

  • Integrate databases with applications and ETL processes

Database Administrator (DBA) $$$

  • Manage, maintain, and secure databases

  • Optimize performance and ensure high availability

  • Handle backups, disaster recovery, and troubleshooting

Business Intelligence (BI) Developer $$$

  • Design and maintain BI tools and dashboards

  • Integrate data from multiple sources for reporting

  • Optimize data queries for performance

Data Analyst $$$

  • Interpret and visualize data for reporting

  • Query and clean datasets for analysis

  • Provide business insights based on data trends

Data Governance Specialist $$$

  • Ensure data compliance with regulations (GDPR, HIPAA, etc.)

  • Define and enforce data policies and standards

  • Monitor and improve data quality

ETL Developer $$$

  • Build and manage Extract, Transform, Load (ETL) pipelines

  • Optimize data movement between systems

  • Ensure data quality in integration processes

 Check out Brent Ozar’s 2025 Salary Survey Results here

 The Bottom Line:

The world revolves around data, from your banking info to crypto to your Fortnite stats and Spotify playlists. There will always be jobs available to wrangle that data.

Free SQL Server 2022 Installation webinar on February 13:

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SQL tidBITs:

Several versions ago, SQL Server introduced Data-Tier applications. You can extract a “code only” version of a database in a .DACPAC. Or you can export the data as well, in a .BACPAC. I remember this as if I’m wearing a giant camping backpack full of data. BACPAC is a great way to move Azure SQLDB databases from one server to another, or between subscriptions.

Please share with your hiking and camping friends. They won’t understand anything but the Backpack reference…but maybe they want a job in data?

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