
51 - 200 employees
đŒ Consulting
đ„ Healthcare
đ Manufacturing
Consulting âą Healthcare âą Manufacturing
Myriad360 is a worldwide technology leader specializing in data center modernization, cloud services, cybersecurity solutions, and artificial intelligence. The company offers tailored end-to-end IT infrastructure solutions, delivering powerful cybersecurity solutions, cutting-edge cloud services, and advanced AI technologies. Myriad360 enhances business efficiency and connectivity with modern infrastructure and networking solutions and provides agile, scalable IT solutions-as-a-service. With expertise across various industries including healthcare, finance, manufacturing, retail, legal, and media, Myriad360 helps businesses optimize their IT potential with a range of advisory, implementation, and lifecycle services.
đ„ 16 hours ago
đșđž United States â Remote
âł Contract/Temporary
đĄ Mid-level
đ Senior
đ° Data Engineer
đ» Ghost score 25%
Where this job comes from
Posted on Myriad360's careers page, not through a job board
First seen by Remote Rocketship 16 hours ago
Still open on Myriad360's site. Checked 3 hours ago.

51 - 200 employees
đŒ Consulting
đ„ Healthcare
đ Manufacturing
Consulting âą Healthcare âą Manufacturing
Myriad360 is a worldwide technology leader specializing in data center modernization, cloud services, cybersecurity solutions, and artificial intelligence. The company offers tailored end-to-end IT infrastructure solutions, delivering powerful cybersecurity solutions, cutting-edge cloud services, and advanced AI technologies. Myriad360 enhances business efficiency and connectivity with modern infrastructure and networking solutions and provides agile, scalable IT solutions-as-a-service. With expertise across various industries including healthcare, finance, manufacturing, retail, legal, and media, Myriad360 helps businesses optimize their IT potential with a range of advisory, implementation, and lifecycle services.
âą Report to the Director of Enterprise Data & Analytics and work closely with data engineers and analysts âą Manage workflows, pipelines, integrations, access, and platform configuration âą Monitor and resolve operational issues âą Support testing and release practices âą Document ownership, procedures, and recovery steps âą Implement and maintain Airflow workflows, including scheduling, dependencies, monitoring, alerting, and troubleshooting âą Build and support data pipelines and integrations across the data platform âą Configure and maintain platform environments, integrations, and settings âą Administer users, roles, permissions, and service accounts using least-privilege access and secure credential practices, including row-level security âą Monitor pipeline freshness, volume, and failures; investigate issues, restore service, and prevent recurring problems âą Support GitHub, CI/CD, testing, and documented release practices for platform and pipeline changes âą Assess downstream effects of access and configuration changes and coordinate with analytics engineers and analysts âą Identify and escalate security risks and contribute to remediation efforts âą Ensure workflow failures, stale data, unusual volume changes, configurations, integrations, and access are detected and managed consistently and securely âą Establish clear ownership, documentation, recovery steps, and repeatable processes for ingestion workflows and new integrations
âą Experience administering or supporting a cloud data platform and its production workflows âą Experience with dbt, lineage best practices, and stage-dev-prod architecture âą Working SQL skills for validating data, investigating pipeline issues, and troubleshooting warehouse queries âą Working knowledge of Python or another language used for automation âą Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift âą Hands-on experience with workflow orchestration, scheduling, monitoring, alerting, and recovery âą Experience building scalable data systems and pipelines âą Experience configuring platform environments, integrations, users, roles, permissions, and service accounts âą Familiarity with Git and collaborative testing and release practices âą Strong troubleshooting, documentation, and follow-through âą Ability to coordinate platform changes with analytics engineers and analysts, including assessing downstream effects âą Complete ongoing security awareness training and comply with company policies âą Experience with Airflow, Snowflake, and Fivetran âą Experience with Microsoft Fabric or Azure services âą Familiarity with Power BI refreshes and their data platform dependencies âą Experience implementing CI/CD or automated testing âą Familiarity with APIs, OAuth, service accounts, and secure credential management âą Experience supporting a growing company with evolving systems or acquisitions âą IT, VAR, distribution, or supply chain data experience
âą Inclusion and an environment that enables every employee to work to the best of their ability âą Accessible and engaged executive team âą Working hours aligned with US Eastern Hours, Monday-Friday, 9am-5pm ET âą Contractor engagement (as indicated by the office designation)
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