Manager – Data Engineering Job
If this is a scam...
Mark as SPAM
Thank you for helping!...
Undo
Employer: Tredence Inc.
SpiderID: 14010353
Location: San Jose, California
Posted: 6/10/2025
Wage:
Priority Review Date: 7/10/2025
Job Code / NOC / SOC: D04576-01
Category: Management
Job Description:
Company: Tredence Inc.
Position Title: Manager – Data Engineering
Location: 1900 Camden Ave., Suite 66, San Jose, CA 95124
Position Responsibilities: Own the roadmap, timelines and delivery of data engineering and data science work streams. Build end-to-end schedules and managing cross team and cross functional project timelines in collaboration with engineering management, product management and business stakeholders. Lead multiple data-solution programs covering data pipelines, visualizations, data alerts, advanced analytics and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams. Lead the technical delivery, implementation, and business adoption of new scalable and reliable data analytics, and business intelligence solutions for cross-functional teams. Act as custodian of agile and scrum processes. Conduct retrospectives, understand best practices, drive process improvements, find new ways of operating with a focus on engineering efficiency, and ensure simplicity of processes. Ensure that the team is adhering to estimates, schedule and agreed quality parameters of their tasks. Create quarterly and sprint wise plans, and sprint delivery reports and be able to drive improvements on any deviations from set goals. Manage risks and issues to closure. Manage and track all action items with respective stakeholders and bring it to closure. Collaborate across teams to work with technology vendors to enable financial plans, operating plans, vendor onboarding and continuous monitoring of performance and cost. Create presentations based on multiple sources of data, and bring out insights from the data, to recommend actions and plans for execution.
Position Requirements: Bachelor’s degree (or foreign equivalent) in Engineering (any), Computer Science, Information Technology, or related field, PLUS five (5) years of experience in the job offered or a related position. Experience must include demonstrable knowledge of: Python; Spark; SQL; PowerShell; Data Factory; Databricks; Azure Synapse Analytics; Microsoft Fabric; Power Bi, and Azure DevOps. Travel to unanticipated client locations throughout the U.S. approximately 30%, as required. May telecommute from any location within the U.S. Supervise five (5) subordinate employees.
To apply, please email resume to [email protected]. Reference job code D04576-01. Salary $211,536
Position Title: Manager – Data Engineering
Location: 1900 Camden Ave., Suite 66, San Jose, CA 95124
Position Responsibilities: Own the roadmap, timelines and delivery of data engineering and data science work streams. Build end-to-end schedules and managing cross team and cross functional project timelines in collaboration with engineering management, product management and business stakeholders. Lead multiple data-solution programs covering data pipelines, visualizations, data alerts, advanced analytics and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams. Lead the technical delivery, implementation, and business adoption of new scalable and reliable data analytics, and business intelligence solutions for cross-functional teams. Act as custodian of agile and scrum processes. Conduct retrospectives, understand best practices, drive process improvements, find new ways of operating with a focus on engineering efficiency, and ensure simplicity of processes. Ensure that the team is adhering to estimates, schedule and agreed quality parameters of their tasks. Create quarterly and sprint wise plans, and sprint delivery reports and be able to drive improvements on any deviations from set goals. Manage risks and issues to closure. Manage and track all action items with respective stakeholders and bring it to closure. Collaborate across teams to work with technology vendors to enable financial plans, operating plans, vendor onboarding and continuous monitoring of performance and cost. Create presentations based on multiple sources of data, and bring out insights from the data, to recommend actions and plans for execution.
Position Requirements: Bachelor’s degree (or foreign equivalent) in Engineering (any), Computer Science, Information Technology, or related field, PLUS five (5) years of experience in the job offered or a related position. Experience must include demonstrable knowledge of: Python; Spark; SQL; PowerShell; Data Factory; Databricks; Azure Synapse Analytics; Microsoft Fabric; Power Bi, and Azure DevOps. Travel to unanticipated client locations throughout the U.S. approximately 30%, as required. May telecommute from any location within the U.S. Supervise five (5) subordinate employees.
To apply, please email resume to [email protected]. Reference job code D04576-01. Salary $211,536
Job Criteria:
Start Date:
Position Type:
Experience: 5
Education: Bachelors
Travel:
Vacation:
Contact Information:
| Contact Name: Tredence Inc. | Type: |
| Company: |