Remote Senior Manager, Global Data Engineering & Analytics

CopilotIQ

United States

Remote

USD 150,000 - 210,000

Full time

14 days+
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Job summary

CopilotIQ is seeking a Senior Manager, Data Engineering & Analytics to lead and scale our data function from a remote US-based base. You will manage a small global team and contribute to data architecture, pipelines, analytics, and customer reporting.

The role demands hands-on leadership, strong communication with executives, and a track record of delivering reliable data platforms in healthcare or related fields. You’ll partner with stakeholders across the company.

Qualifications

  • 5+ years of data engineering/ data-platform experience.
  • 2+ years of technical leadership experience mentoring engineers.
  • Hands-on experience designing and operating production data platforms.
  • Strong data architecture, ingestion, orchestration, modeling, warehousing, and performance optimization.
  • Advanced SQL and Python/PySpark skills.
  • Experience with dbt, Apache Airflow, AWS Glue, or similar tools.

Responsibilities

  • Lead a small global team across data engineering, analytics, and BI.
  • Own the analytics data platform architecture and reliability.
  • Build scalable batch and event-driven data pipelines across domains.
  • Establish data-quality practices including monitoring and lineage.
  • Define metrics, dimensional models, and semantic layers.
  • Deliver dashboards and self-service datasets for stakeholders.
  • Collaborate with clinical, operations, product, finance, and engineering teams.
  • Communicate findings to technical and non-technical audiences.
  • Drive platform improvements balancing strategic and urgent needs.

Skills

Data engineering
Leadership
Python
SQL
dbt
Airflow
AWS
Redshift
PySpark
Data modeling

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field

Tools

dbt
Apache Airflow
AWS Glue
Lambda
S3

Job description

CopilotIQ is seeking a Senior Manager, Data Engineering & Analytics to lead and scale our data function from a remote US-based base. You will manage a small global team and contribute to data architecture, pipelines, analytics, and customer reporting.

The role demands hands-on leadership, strong communication with executives, and a track record of delivering reliable data platforms in healthcare or related fields. You’ll partner with stakeholders across the company.

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