or apply directly on Lyft's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Lyft's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- No 62% of Lyft's roles list one
- Ghost-job risk at Lyft
- high 80 stale, 4 reposted of 171 open
- Hiring momentum
- 267 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 Lyft's own greenhouse board since 2026-08-03. Full hiring picture for Lyft.
About this role
As a Senior Software Engineer, Data on the Mapping team at Lyft, you will focus on enhancing route recommendations and travel time estimations. Your role involves leading the architecture for offline experimentation tooling and route simulation services, building scalable data pipelines, and ensuring data governance and observability. Collaboration with engineers, product managers, and data scientists is key, as your work will directly influence Lyft's growth and profitability.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- 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 Lyft as an employer.
What you need
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
- 5+ years of professional experience in backend or data engineering with large-scale distributed systems
- Strong experience with Spark, and with a scripting language (Python, Ruby, Bash)
- Experience with distributed storage, querying, and streaming technologies (e.g. Clickhouse, Hive, Presto, Delta, Iceberg, Kafka)
- Strong SQL skills (MySQL, PostgreSQL or similar), with experience conducting advanced performance tuning and querying high volume events data (e.g. geospatial, behavioural)
- Strong data quality instincts, with hands-on experience using tools like dbt, Great Expectations, or Monte Carlo to diagnose and resolve issues in complex datasets
Nice to have
- Experience with LLM orchestration or vector databases, or with experimentation/simulation platforms and A/B testing infrastructure at scale
What you get
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
Worth weighing
- Hybrid role requiring in-office work at least 3 days per week, including Mondays, Wednesdays, and Thursdays
- No specific mention of the company culture or team dynamics beyond collaboration
- Salary range provided but not inclusive of potential equity offering, bonus or benefits
Summarised from Lyft's posting. Read the full original.
Listed by Lyft on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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