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Day Shift Databricks Jobs in New York (NOW HIRING)

... Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate ... Type - Hybrid Work Shift - Day Job (United States of America) The approximate annual base ...

... Shift - The approximate annual base compensation range for this position is: The actual offer ... day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a ...

... Shift - The approximate annual base compensation range for this position is: The actual offer ... boundaries every day • Thrive in a values-driven culture - Our courage, curiosity, and ...

Shift: Day * Schedule: Monday to Friday * Hours: Standard business * Setting: Hybrid (at least 4 ... Experience with Databricks, Snowflake, Azure DevOps, microservices, job schedulers, or MDM concepts

Manage the day-to-day work and tasks for your direct reports, ensuring projects and resources stay ... Experience with Databricks SQL, Delta Lake, Notebooks, and BI visualization tools for data analysis ...

Manage the day-to-day work and tasks for your direct reports, ensuring projects and resources stay ... Experience with Databricks SQL, Delta Lake, Notebooks, and BI visualization tools for data analysis ...

We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks , and have been ... We move fast, priorities shift constantly, and adaptability is essential. You should thrive in high ...

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Day Shift Databricks information

What is the difference between Day Shift Databricks vs Data Engineer?

AspectDay Shift DatabricksData Engineer
CredentialsTypically requires Databricks certifications, SQL, Python, and cloud platform knowledgeRequires similar skills, often with certifications in cloud platforms (AWS, Azure), SQL, Python, and data modeling
Work EnvironmentCollaborates within data teams, often in cloud-based environments, during daytime hoursWorks on data pipelines, infrastructure, and architecture, usually in similar cloud or on-premise settings
Industry UsageCommon in tech, finance, and healthcare sectors utilizing Databricks platformWidely used across industries for building and maintaining data systems

While both roles require data processing skills and cloud platform knowledge, Day Shift Databricks focuses on using the Databricks platform for data analytics, whereas Data Engineers design and build data pipelines and infrastructure. The roles often overlap but differ in scope and specific platform expertise.

What are popular job titles related to Day Shift Databricks jobs in New York? For Day Shift Databricks jobs in New York, the most frequently searched job titles are:
What job categories do people searching Day Shift Databricks jobs in New York look for? The top searched job categories for Day Shift Databricks jobs in New York are:
What cities in New York are hiring for Day Shift Databricks jobs? Cities in New York with the most Day Shift Databricks job openings:

Sr Manager, Data Engineering (Remote)

Tandym Tech

Manhattan, NY • On-site

Other

Posted 20 days ago


Job description



A property management organization is seeking a new Senior Manager, Data Engineering to lead platform engineering and team leadership efforts in a remote role aligned to U.S. Eastern or Central time. This position oversees the buildout of scalable data solutions, hands-on Databricks delivery, and the development of a high-performing data engineering team.


About the Opportunity:




  • Shift: Day shift




  • Schedule: Monday-Friday




  • Hours: 9:00 AM-5:00 PM, flexible depending on project and time zone needs




  • Setting: Remote




Responsibilities:




  • Lead the design, build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products.




  • Contribute hands-on to high-impact engineering work, including code reviews, architecture reviews, and complex troubleshooting.




  • Provide technical leadership across data quality, observability, security, governance, and platform standards.




  • Directly manage and develop a team of data engineers, including hiring, onboarding, coaching, performance management, and retention.




  • Plan, prioritize, and coordinate delivery across the team while managing risks, dependencies, and cross-functional stakeholder expectations.




Qualifications:




  • Significant data engineering experience with hands-on Databricks and Azure platform delivery.




  • Experience formally managing data engineers, including hiring, performance management, and career development.




  • Track record of delivering production-grade data platforms and pipelines at scale.




  • Experience leading technical work through influence in a global, matrixed environment.




  • Strong communication, stakeholder management, and prioritization skills.




Desired Skills:




  • Experience with commercial real estate or professional services environments.




  • Familiarity with Lakehouse, Unity Catalog, medallion, and data mesh architecture patterns.




  • Experience with DataOps practices and metadata-driven or configuration-driven pipeline frameworks.




  • Exposure to CI/CD and infrastructure-as-code tooling such as Azure DevOps, Databricks Automation Bundles, or GitHub Actions.




  • Experience working across multiple geographies and time zones.