Python Engineer, Consumer Subscriptions Marketing
Compensation
$93 – $95 /hr
Employment type
Full-time
Work setting
On-site
Location
Menlo Park, CA
Schedule
Day shift
Posted
You'll be redirected to the employer's application page.
Job overview
The Python Engineer, Consumer Subscriptions Marketing role is onsite in Menlo Park, CA, with compensation of $93–$95 per hour. The role supports consumer marketing acquisition and retention campaigns by developing and maintaining technical infrastructure.
What you'll do
- Develop and maintain deep links for paid campaigns, influencer attribution, referrals, and off-platform channels
- build audience data tables from cross-app behavioral metrics and integrate them with advertising platforms
- implement conversion tracking in onboarding flows
- map behavioral signals to marketing email audiences
- and run growth and promotional experiments.
What we're looking for
- Skills & competencies
- python engineermenlo park caaditi consultingonsite$93–$95/hourconsumer subscriptionsmarketing campaignspythonsqldeep linksconversion trackinggrowth experiments
- Work arrangement
- Weekend coverage required
Benefits & perks
- Potential benefits include medical, dental, and vision coverage
- health savings account
- 10 paid days off
- bereavement leave
- 401(k) with employer match
- life and disability insurance
- commuter benefits
- and other listed options.
Why this role
The posting seeks Python expertise alongside Hack/PHP, Java, or JavaScript, plus experience with campaign links, SQL and data pipelines, conversion tracking, audience integrations, and growth experiments. Full-time employees may select from benefits packages that may include medical, dental, vision, paid time off, 401(k) match, and other listed benefits.
About the employer
Aditi Consulting is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Computer Systems Design Services
- Occupation code
- 15-1252.00
You'll be redirected to the employer's application page.
Listing ID: 90c82e67-e40f-485a-b7a4-b8aca51714b6