SimplePractice

Senior Analytics Engineer, Marketing Sciences

SimplePractice · United States

Posted 26 days ago

or apply directly on SimplePractice's site. We never take the application ourselves.

Is this posting real?

This role has been open
26 days
SimplePractice's roles stay open a median of 36 days
Reposted
No
Salary listed
No
5% of SimplePractice's roles list one
Ghost-job risk at SimplePractice
high
13 stale, 0 reposted of 37 open
Hiring momentum
57 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from SimplePractice's own greenhouse board since 2026-08-03. Full hiring picture for SimplePractice.

About this role

As a Senior Analytics Engineer at SimplePractice, you will lead the development of the Marketing Sciences data ecosystem, focusing on building scalable data pipelines and enabling predictive models for growth initiatives. Your role will involve collaborating with various teams to ensure accurate data for marketing attribution, demand modeling, and A/B testing, while also integrating marketing technology platforms to maintain data consistency across the organization.

Our read on this posting3.2out of 5
benefits
4/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SimplePractice as an employer.

What you need

  • Expert proficiency in Snowflake and DBT
  • Proficient in Python and SQL
  • Proven experience handling semi-structured API data (JSON) from marketing sources
  • Expertise in designing, implementing, and managing Segment event pipelines
  • Ability to lead a technical vision impacting business-critical metrics like LTV, CAC, and ROAS
  • Experience working in an Agile (SCRUM/Kanban) environment

Nice to have

  • Experience with Reverse ETL tools (e.g., Census, Hightouch)
  • Familiarity with Real-time ETL (Kafka streaming, AWS Kinesis)
  • AWS DevOps experience (Terraform, Kubernetes, Docker)

What you get

  • Medical, dental, vision, life & disability insurance
  • 401(k) plan with company match
  • Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
  • Mental health resources
  • Paid parental leave & Backup Care
  • Tuition reimbursement

Worth weighing

  • No salary listed in the posting, but a range of $160,000 - $200,000 is mentioned
  • The role requires a strong technical background in modern data stacks and marketing data, which may be demanding for some candidates

Summarised from SimplePractice's posting. Read the full original.

Listed by SimplePractice on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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