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Company

State of Colorado · 1 day ago

Principal Data Operations Engineer (Remote from anywhere in Colorado).

Colorado, United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

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Responsibilities

Implement the designs and standards provided by the Data and Integrations Architect.

Provide platform and application administration, configuration management, end user management, security and application level patching and upgrades as well as source code control, deployment and release management; and providing support services as needed.

Provide operational support ranging from minor bug fixes to major enhancements and participate in planning for application replacement and modernization.

Consulting with Data and Integrations Architects, Principal Developers and other CDO and OIT team members, as appropriate to maintain and enhance existing platforms in line with OIT strategies (e.g., API Led Connectivity, Cloud First, Mobile First, Secure Colorado, etc.).

Performing platform administration and support for applications within the Chief Data Office portfolio.

Working with Data Engineers and Integration Developers on data ingestion, data transformation and data presentation tasks and scripts, including automation of these tasks.

Establish automation of manual processes, including code deployment and environment provisioning.

Acting as Tier-2 escalation point for on-call/break-fix efforts, to diagnose and resolve incidents and problems with platforms and applications within Chief Data Office portfolio.

Working with SecOps resources to ensure network security policy is established in a consistent, repeatable and automated manner.

Collaborating with Business Analysts, Customers, Project Managers, and others as appropriate to assist in the creation of estimates and timelines.

Performing coding (in-house applications) or configuration management (COTS applications) in accordance with standards and best practices and further minimize defects through disciplined unit testing.

Coordinating update releases and other system changes, contribute to the implementation of break/fix solutions, and update documentation and configuration information related to changes as needed throughout the life cycle.

Organizing, build, and validate all segments of the code and configurations related to a specific build (release) through CI/CD pipelines.

Ensuring application maintenance and configuration activities are consistent with established service portfolio policies, procedures, standards and guidelines.

Identifying and recommending changes to application and platform policies, processes, templates and standard operating procedures to improve the overall quality of services being delivered.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringDevOps EngineeringAPI Lifecycle ManagementETL Pipeline DevelopmentSnowflakeInformaticaTableauAzure DevOpsCI/CD PipelinesMOVEit TransferMOVEit AutomationMS SQLPostgreSQLMySQLSource Code ManagementGitTFSData TransformationData PresentationNetwork Security

Required

A minimum of eight (8) years of experience as a data engineer, DevOps Engineer, or similar software engineering role.

A minimum of one year (1) of experience designing, building, implementing, and maintaining data and system integrations using dimensional data modeling and development and optimization of ETL pipelines.

Experience with API lifecycle management platforms and API led connectivity.

Preferred

Subject Matter Domain Expertise on the platforms (applications) used for the execution of the State Strategy for Data Sharing and Integrations premised on API led connectivity: Snowflake, Ipswitch MOVEit Transfer and MOVEit Automation, Informatica, Tableau.

Current MuleSoft certification.

Experience with columnar and relational database technologies such as MS SQL, PostgreSQL, MySQL, or others desired.

Familiarity with Continuous Integration and Continuous Delivery (CI/CD) pipelines.

Experience using Azure DevOps.

Familiarity with source code management tools such as TFS or Git.