Lead Data & Analytics Engineer
Kandu
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $175,000 per year
Job Level
Senior
Tech Stack
AirflowAmazon RedshiftBigQueryPythonSQLTableau
About the role
- Build and maintain data pipelines from key business systems
- Design ELT workflows to ingest, normalize, and transform data
- Architect, build, and implement a centralized data warehouse
- Develop dashboards, operational monitors, and recurring analytics
- Develop early predictive and prescriptive models
- Work closely with business stakeholders to understand requirements
Requirements
- 5–8 years of experience in data engineering, analytics engineering, or a full-stack data role
- Strong SQL and Python skills
- Experience with modern data stack tools (Airflow/Prefect, dbt, Fivetran/Airbyte, Snowflake/BigQuery/Redshift)
- Experience designing star schemas, dimensional models, or semantic layers
- Strong dashboarding experience (Looker, Tableau, PowerBI, Mode, Sigma, etc.)
- Comfort integrating data from multiple SaaS systems via APIs, webhooks, and vendor interfaces
Benefits
- Insurance (Medical/Dental/Vision)
- 401(k) with company matching
- Unlimited PTO & Holidays
- Life Insurance, LTD and STD
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondata engineeringanalytics engineeringdata pipelinesELT workflowsdata warehousepredictive modelsprescriptive modelsstar schemas
Soft skills
collaborationcommunicationrequirements gathering