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Cloud Database Administrator (DBA)/ETL Engineer Fully Remote - US

Cloud Database Administrator (DBA)/ETL Engineer

Full Time • Fully Remote - US
Cloud Data Engineer
100% Remote
Contract: Goes until 6/30 anticipated to renew each fiscal year
Hours: 37.5hrs a week (7.5hrs daily)
 
 
In alignment with state-level technology modernization initiatives, the Education Technology Office has undertaken a multi-year application and platform modernization project. The IT team is seeking a Cloud Database Administrator (DBA)/ETL Engineer to assist in maintaining, optimizing, modernizing, and troubleshooting the organization’s data warehouse, data mart, and overall data portfolio. Under the direction of senior leadership and data engineering team leads, the DBA/ETL/ELT Engineer will manage databases and data services hosted on cloud platforms, ensuring they are secure, performant, highly available, and compliant with governance policies.
 
The Engineer will be hands-on working with a team of cloud Engineers, ETL developers, technical leads, DBAs, project managers and analysts to design and implement the Education portfolio data, data pipelines, and transformations in a more stream-lined, scalable and cost-effective set of solutions.
 
Mandatory requirements
• Experience working with Oracle RDS
• Experience working with one or more AWS Cloud services such as S3 storage, Managed Airflow (MWAA),      Data Migration Service (DMS) in support of building data pipelines
• Experience working with a variety of backend data sources (e.g. SQL Server, Oracle, Postgres, DynamoDB,
Snowflake)
• Advanced SQL coding skills and ability to translate Oracle PL SQL and Stored Procedure code to alternative SQLplatforms such as Snowflake
• Familiarity with data warehouse and data mart concepts such as normalization, facts, dimensions, slowly
changing dimensions
• Familiarity with Change Data Capture (CDC) concepts and implementations. Knowledge of Kafka or similar
replication tools is a plus
• Understanding of common file formats such as JSON, XML, CSV
• Basic experience using scripting tools to automate tasks (e.g.: Python, Windows PowerShell, bash)
• Ability to write unit test scripts and be able to validate migrated ELT/ETL code
 
 
Preferred
• Experience configuring, managing, and troubleshooting Airflow tool. Knowledge of Airflow DAGs and concepts
for managing dependent graphs and complex steps
• Knowledge of Snowflake data warehouse features such as Snowpipe streaming, cloning, time travel, role-basedaccess control
• Prior experience working at other large organizations, preferably state or federal government
• Business domain knowledge in the Education and Student data management area.
• Experience working with software development tools such as GitHub, Jir
 
 
Regular responsibilities include:
• Create and manage cloud-native databases and services (e.g., RDS Oracle, Aurora, Postgres, Snowflake).
• Track and tune query execution, compute scaling, and storage performance.
• Define policies for snapshots, PITR (point-in-time recovery), and cross-region replication.
• Implement encryption, access policies, masking, and auditing to meet FERPA/PII standards.
• Manage schema migrations, data pipelines, and versioned deployments.
• Hands-on discovery, solution designing, re-platforming and troubleshooting to migrate the EOE Legacy SSIS
ETL code to a SQL based solution with Apache Airflow for scheduling and dependency management.
• Tasks may include re-Engineering overall solution approach, constructing code packages, bug
fixing, unit testing code and using GitHub code repository
• Develop and guide implementation of Apache Airflow Scheduling and Dependency Framework
• Performance tuning and optimizing solution implementation, benchmark the new solution against the on-prem
solution to ensure that it performs comparably or better
• Using Jira to review and work through assigned tasks
• Using GitHub to check in and manage code, code reviews, pull requests
 

This is a remote position.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.





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