Data Platform Engineer

You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration pipeline development data modeling quality monitoring documentation reporting support and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable asks thoughtful questions follows work through to completion and knows how to use modern AI development tools responsibly and effectively.

Essential Functions

• Build maintain and improve pipelines that move data between operational systems databases warehouses and reporting tools.
• Help document our existing data environment including data sources integrations transformations storage reporting dependencies and access controls.
• Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability scalability data-quality security or maintainability concerns.
• Work with more experienced team members and business stakeholders to evaluate and prioritize improvements.
• Develop and maintain reusable data models for reporting analytics and operational use.
• Add testing monitoring alerting logging and documentation to important data workflows.
• Investigate failed jobs inconsistent metrics and other data issues through structured root-cause analysis.
• Write readable maintainable code using source control code review automated testing and repeatable deployment practices.
• Translate business needs into practical technical solutions with guidance from internal stakeholders.
• Use AI-assisted development tools to accelerate research coding testing documentation and troubleshooting.
• Review and validate AI-generated work rather than accepting it without verification.
• Learn unfamiliar systems and technologies as needed and share what you discover with the team.

Knowledge Skills & Abilities

• Strong foundational SQL skills and experience working with relational data.
• Working knowledge of Python R or another language used for data processing and automation.
• Some experience building modifying or supporting ETL/ELT pipelines.
• Familiarity with databases data warehouses APIs scheduled jobs or cloud-based data services.
• Basic experience with Git and modern software-development practices.
• An ability to investigate unfamiliar problems test assumptions and communicate findings clearly.
• A dependable approach to execution documentation and follow-through.
• Genuine curiosity and a willingness to learn technologies outside your current experience.
• Practical experience using AI coding assistants or language models as part of a development workflow.
• Good judgment about validating AI-generated code and protecting confidential or sensitive company information.

Education and Experience

• Bachelors degree in Computer/Data Science or lieu of a degree comparable professional experience in this discipline.
• Approximately 1-3 years of relevant professional experience in data engineering software development analytics engineering database development or a related area.
• Equivalent hands-on experience through internships substantial projects certifications or other demonstrated work will also be considered.

Additional Preferred Experience

• Cloud platforms such as Azure AWS or Google Cloud.
• Data platforms such as Snowflake Databricks BigQuery Redshift Microsoft Fabric or Synapse.
• Transformation or orchestration tools such as dbt Airflow Dagster Prefect or Azure Data Factory.
• Business intelligence tools such as Power BI Tableau or Looker.
• CI/CD infrastructure as code containers or automated deployment processes.
• Data quality governance lineage cataloging privacy or access management.
• Supporting or documenting an existing data architecture.

Required Certification/License

• Ability to obtain an OCCC Gaming License OCCC Sports Gaming License and an OLC Gaming License

Required Experience:

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