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BI (Analytics) Engineer (Full-time - Hybrid)

Cleo Consulting Inc.

Hybrid in San Francisco, California • 5d ago

Easy Apply

Full-time, Third Party

$135000 - $180000

Senior AI ML Software Engineer - Data Platforms - Remote Nationwide or Hybrid in MN or DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Job Details

Skills

Advanced SQL
dbt
Data Modeling
Snowflake
BigQuery
Redshift
Python
Terraform

Summary

Job Title: BI (Analytics) Engineer

Location: San Francisco, CA Denver, CO and NY

Full-time - Hybrid

Requirements

3 - 7 years of experience in analytics/data science at a high-growth company
Built data models and pipelines at a VC-backed startup or big tech company founded after 2005 (e.g., not FAANG, but companies like Uber, Lyft, Stripe, Datadog)
Experience partnering with product and operations teams on data needs
Experience working in highly regulated industries (e.g., fintech, shipping/logistics, insurance) dealing with large, complex data sets

Education

Bachelor's in CS, Math, Engineering, or hard sciences

Hard skills

Advanced SQL in complex production data environments
Hands on experience with common data warehouses (e.g., Snowflake, BigQuery, or Redshift)
Hands-on dbt experience for data modeling in production
Familiarity with Google Cloud Platform/BigQuery, Python, or Terraform

Miscellaneous

Able to work 4 days/week in-office in Denver, SF, or NYC

Traits to avoid

Only worked at large, slow-moving enterprises (e.g., UnitedHealth, legacy health systems)
Short tenures (<1 year) at multiple companies
Seeking management or leadership scope over IC work

Role

We are looking for a BI/Analytics Engineer with 4+ years of experience to own data modeling and pipelines at a rapidly scaling data company disguised as a healthcare platform. You'll join a lean but high-impact data team (currently just 3 people supporting 70+ engineers) and be responsible for building the foundational data layer that powers customer-facing reporting and future ML/AI products. This is a hands-on-deck role where you'll shape messy, complex data models into something reliable and scalable – working closely with product, operations, and engineering teams. The ideal candidate thrives in ambiguity, can quantify their impact, and brings the pace and ownership mindset of a high-growth startup.

What you will be doing

Owning and maturing the data modeling practice – building critical models and pipelines that power customer-facing reporting and analytics
Scaling and cleaning up existing data infrastructure to support increasingly large and complex enterprise customer integrations
Partnering closely with product management and internal operations teams to understand data needs and deliver accurate, trusted outputs
Deep diving with engineers to understand complex production data and ensuring visualization platforms (Metabase) are accurate and available
Setting the foundation for future ML and AI products by improving data quality, governance, and pipeline reliability

Visa Sponsorship Details

Open to visa transfers (e.g. OPT, H1B transfers)
Open to visa sponsorships (e.g. new H1B, TN)

Ask candidates

Walk me through a project where you owned data modeling end-to-end at a high-growth startup. What was the business impact and how do you quantify it?
How have you partnered with product teams or non-technical stakeholders to translate complex data work into something they can act on?

Interview

Head of Technical Recruiting (30 minutes)
SQL Technical Screen (1 hour)
Data Modeling Exercise (1 hour)
Product Team Member (1 hour)
Head of Engineering Interview (45 minutes)
Executive Who Interview w/ Co-Founder or Senior Leader (1 hour)

“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)”

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91081631
Position Id: 7792-22658-1785442144
Posted 5 days ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

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Job Details

Skills

Advanced SQL
dbt
Data Modeling
Snowflake
BigQuery
Redshift
Python
Terraform

Summary

Job Title: BI (Analytics) Engineer

Location: San Francisco, CA Denver, CO and NY

Full-time - Hybrid

Requirements

3 - 7 years of experience in analytics/data science at a high-growth company
Built data models and pipelines at a VC-backed startup or big tech company founded after 2005 (e.g., not FAANG, but companies like Uber, Lyft, Stripe, Datadog)
Experience partnering with product and operations teams on data needs
Experience working in highly regulated industries (e.g., fintech, shipping/logistics, insurance) dealing with large, complex data sets

Education

Bachelor's in CS, Math, Engineering, or hard sciences

Hard skills

Advanced SQL in complex production data environments
Hands on experience with common data warehouses (e.g., Snowflake, BigQuery, or Redshift)
Hands-on dbt experience for data modeling in production
Familiarity with Google Cloud Platform/BigQuery, Python, or Terraform

Miscellaneous

Able to work 4 days/week in-office in Denver, SF, or NYC

Traits to avoid

Only worked at large, slow-moving enterprises (e.g., UnitedHealth, legacy health systems)
Short tenures (<1 year) at multiple companies
Seeking management or leadership scope over IC work

Role

We are looking for a BI/Analytics Engineer with 4+ years of experience to own data modeling and pipelines at a rapidly scaling data company disguised as a healthcare platform. You'll join a lean but high-impact data team (currently just 3 people supporting 70+ engineers) and be responsible for building the foundational data layer that powers customer-facing reporting and future ML/AI products. This is a hands-on-deck role where you'll shape messy, complex data models into something reliable and scalable – working closely with product, operations, and engineering teams. The ideal candidate thrives in ambiguity, can quantify their impact, and brings the pace and ownership mindset of a high-growth startup.

What you will be doing

Owning and maturing the data modeling practice – building critical models and pipelines that power customer-facing reporting and analytics
Scaling and cleaning up existing data infrastructure to support increasingly large and complex enterprise customer integrations
Partnering closely with product management and internal operations teams to understand data needs and deliver accurate, trusted outputs
Deep diving with engineers to understand complex production data and ensuring visualization platforms (Metabase) are accurate and available
Setting the foundation for future ML and AI products by improving data quality, governance, and pipeline reliability

Visa Sponsorship Details

Open to visa transfers (e.g. OPT, H1B transfers)
Open to visa sponsorships (e.g. new H1B, TN)

Ask candidates

Walk me through a project where you owned data modeling end-to-end at a high-growth startup. What was the business impact and how do you quantify it?
How have you partnered with product teams or non-technical stakeholders to translate complex data work into something they can act on?

Interview

Head of Technical Recruiting (30 minutes)
SQL Technical Screen (1 hour)
Data Modeling Exercise (1 hour)
Product Team Member (1 hour)
Head of Engineering Interview (45 minutes)
Executive Who Interview w/ Co-Founder or Senior Leader (1 hour)

“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)”

Dice Id: 91081631
Position Id: 7792-22658-1785442144
Posted 5 days ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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