Consultant.e Data Engineer responsible for end‑to‑end data stack deployment, pipeline construction, data modeling, quality assurance and client support.
Responsibilities
Deploy a modern data stack end‑to‑end for clients
Build and maintain robust data pipelines
Model data for usability (SQL, data warehouse, datamarts)
Ensure data quality, reliability and monitoring
Support business teams in data understanding and usage
This role sits at the intersection of SRE, DevOps, and data, helping to improve reliability, observability, and operational maturity of data platforms, Kubernetes-based deployment systems, internal applications, and cloud environments.
Compensation
In the U.S., the standard base pay range for this role is $102,800.00 - $190,204.00 Annual.
Responsibilities
Monitor service health, respond to alerts, and participate in incident response for cloud, Kubernetes, application, and data platform environments.
Support the reliability of internal applications, APIs, workers, streaming consumers, event-driven services, and deployment workflows used by data engineering and business teams.
Build and maintain dashboards, alerting, runbooks, and operational documentation that improve detection and recovery speed.
Improve observability for Databricks environments, including job health, Spark streaming workloads, structured streaming metrics, cluster behavior, failures, latency, throughput, and cost signals.
The role involves designing systems that improve accuracy, scalability, and resilience across a global cloud marketplace using Python, SQL, data engineering, and observability to support monthly billing operations.
Compensation
PHP 130,000 - 150,000 per month plus 30% night differential
The Masters Social Worker (MSW) works independently to assess the needs of, coordinate, and deliver social services for participants and families/caregivers as a member of the Participant Care Team (PCT) and Interdisciplinary Team (IDT).
Seeking a Senior Data Analyst with expertise in SQL and data validation to ensure accuracy of enterprise data. The role involves validating data pipelines, ETL processes, and Tableau dashboards while mentoring junior analysts.
Responsibilities
Validate data pipelines, ETL processes, semantic models, and Tableau dashboards
Ensure business metrics are accurate and reliable
Investigate data issues and perform root cause analysis
Design and develop scalable data processing systems; implement and maintain data pipelines; optimize data infrastructure; collaborate with data scientists and analysts; troubleshoot data-related issues; stay current with emerging technologies; mentor junior data engineers.
Responsibilities
Design and develop scalable data processing systems
Implement and maintain data pipelines to ingest, process, and store large volumes of data
Optimize data infrastructure for performance and reliability
Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions
Troubleshoot and resolve data-related issues in a timely manner
Provide individual, group, and family therapy to patients with substance use disorder, conduct assessments, develop treatment plans, and collaborate with a multidisciplinary care team.
Responsibilities
Deliver trauma‑competent therapy sessions
Conduct comprehensive assessments
Maintain accurate documentation
Develop individual treatment plans
Collaborate with multidisciplinary care team
Requirements
Master’s degree in counseling, social work, or a related field
Nice to have: Experience in addiction medicine, therapeutic counseling, or mental health services
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