Tandem

11 months ago

Data & Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build the data foundation that powers operations, measurement, and growth by designing and maintaining core data models, pipelines, and reporting infrastructure. Work cross-functionally with product, ops, growth, and leadership to deliver clean, trustworthy, decision-grade data. Define analytics engineering practices, enforce metric consistency, and help scale the analytics stack using tools like GCP BigQuery, Dataform, Fivetran, and Postgres, supporting both internal visibility and client reporting.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Build and maintain core data models that power internal analytics and client-facing insights.
•Design and operate data pipelines that transform raw sources into clean, analytics-ready tables.
•Create dashboards and reporting tools to drive performance visibility and decision-making across product, ops, and GTM.
•Define and enforce metric consistency across teams, including KPIs and product usage definitions.
•Improve and scale the analytics stack using tools such as BigQuery, Dataform, Fivetran, and Postgres while collaborating with stakeholders.

Pay and Benefits

Salary: USD 170,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid LeaveParental Leave401kFsaCommuter BenefitsDashpass

Key Requirements

•3–6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership.
•Expert-level SQL and comfort in a code-first environment, including versioning, testing, and documentation.
•Experience designing data models that balance usability, performance, and long-term maintainability.
•Familiarity with the modern data stack, including dbt, Fivetran, Airflow, and GCP/AWS/Snowflake (or equivalents).
•Strong written and verbal communication skills for internal debates and external relationships.

Experience:3-6 years

Skills:CommunicationOwnershipRigorResourcefulness

Tech Stack:SQLGCPBigQueryDataformFivetranPostgresAirflowAWSSnowflakeMetabaseDbt

Company Brief

Tandem

Builds a virtual office platform that helps remote teams connect, collaborate, and communicate in real time with presence, audio rooms, and workspace tools designed to recreate an in-person office experience online.

Industry: Enterprise Software

Website

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Tandem

11 months ago

Data & Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Build and maintain core data models that power internal analytics and client-facing insights.
•Design and operate data pipelines that transform raw sources into clean, analytics-ready tables.
•Create dashboards and reporting tools to drive performance visibility and decision-making across product, ops, and GTM.
•Define and enforce metric consistency across teams, including KPIs and product usage definitions.
•Improve and scale the analytics stack using tools such as BigQuery, Dataform, Fivetran, and Postgres while collaborating with stakeholders.

Pay and Benefits

Salary: USD 170,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid LeaveParental Leave401kFsaCommuter BenefitsDashpass

Key Requirements

•3–6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership.
•Expert-level SQL and comfort in a code-first environment, including versioning, testing, and documentation.
•Experience designing data models that balance usability, performance, and long-term maintainability.
•Familiarity with the modern data stack, including dbt, Fivetran, Airflow, and GCP/AWS/Snowflake (or equivalents).
•Strong written and verbal communication skills for internal debates and external relationships.

Experience:3-6 years

Skills:CommunicationOwnershipRigorResourcefulness

Tech Stack:SQLGCPBigQueryDataformFivetranPostgresAirflowAWSSnowflakeMetabaseDbt

Company Brief

Tandem

Industry: Enterprise Software

Website