Senior Data Consultant: AI-Driven Healthcare Analytics & Architecture

Campana Schott

New York (NY)

On-site

USD 120,000 - 132,000

Full time

5 days ago
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Benefits offered by this job

PTO 25 days
Holidays 10 days
401(k) with company match
Health benefits
Annual company trip

Job summary

Campana & Schott in New York City is seeking a Senior Data Consultant to join a fast-moving team. You will shape data pipelines, models, and schemas, turning business questions into solid data architecture while managing clients and guiding a growing data practice.

The role emphasizes consulting, collaboration with stakeholders, and delivering end-to-end data work, with opportunities to grow alongside a expanding team of data engineers and consultants.

Qualifications

  • Bachelor’s or Master's degree in Computer Science, Data Science, Engineering, or related field.
  • 2–5 years hands-on experience in a data-focused role (data analyst, data engineer, or data architect).
  • Proficiency in Python and SQL for data manipulation and pipeline development.
  • Experience with cloud data platforms such as Azure, Databricks, AWS, or Snowflake.
  • Strong communication skills for client-facing consulting.

Responsibilities

  • Work across the full data lifecycle on client engagements, from pipelines to data architecture.
  • Translate business questions into scalable data solutions and architectures.
  • Manage clients and stakeholders, communicating with both technical and non-technical audiences.
  • Help shape and grow a team of data engineers and consultants.

Skills

Python
SQL
Data manipulation
Data modeling
Communication

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Azure
Databricks
AWS
Snowflake

Job description

Campana & Schott in New York City is seeking a Senior Data Consultant to join a fast-moving team. You will shape data pipelines, models, and schemas, turning business questions into solid data architecture while managing clients and guiding a growing data practice.

The role emphasizes consulting, collaboration with stakeholders, and delivering end-to-end data work, with opportunities to grow alongside a expanding team of data engineers and consultants.

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