HumanaHiring

Senior Data Manager

  • Remote, worldwide
  • Full-time
  • Lead
  • Posted 5 days ago
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In one line

Senior data role focused on building and running data pipelines in Databricks and SQL, mostly remote, for a healthcare organization.

About the role

Owning the data lifecycle end to end: sourcing, cleaning, storing and governing datasets so analysts and leaders can trust them. The job sits between business teams and IT, turning needs into technical data requirements.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Lead
Employment
Full-time
Skills
Databricks, ETL, SQL, SSMS, SSIS, Azure Synapse Analytics, Snowflake, Power BI
Visa
No sponsorship
Posted
30 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Build and maintain ETL pipelines and stored procedures that feed reporting and analysis
  • Prepare data for reports and dashboards, including visualizations for business users
  • Coordinate with other teams and run data projects on time and within scope

What they look for

  • At least seven years of technical data analysis work with ETL tools and solutions
  • Three years of hands-on Databricks experience
  • Strong SQL background, including SSMS, SSIS, dynamic SQL and stored procedures
  • Familiarity with cloud data tools such as Azure Synapse or Snowflake, plus Power BI, Power Automate and Power Apps
  • Bachelor's degree and a track record of leading projects from design through deployment

Nice to have

  • Master's degree in statistics, math, computer science or engineering, or healthcare and managed care background

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ClaudeConnectorChatGPTConnectorMuseby Meta

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Message for Muse
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Muse is available in the US only for now.

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Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote with no single country named, so candidates from different countries can apply.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: at least seven years of technical data analysis work with ETL tools and solutions; three years of hands-on Databricks experience; strong SQL background, including SSMS, SSIS, dynamic SQL and stored procedures. Skills it names include Databricks, ETL, SQL, SSMS.

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