or apply directly on Betty 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Betty 's roles stay open a median of 71 days
- Reposted
- No
- Salary listed
- No 0% of Betty 's roles list one
- Ghost-job risk at Betty
- high 35 stale, 2 reposted of 35 open
- Hiring momentum
- 48 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Betty 's own greenhouse board since 2026-08-03. Full hiring picture for Betty .
About this role
As a Senior Data Engineer at Betty, you will work closely with cross-functional teams to define data requirements and develop scalable data pipelines for the data warehouse. Your role will involve optimizing existing data processes, collaborating with infrastructure teams to enhance the data platform, and mentoring junior colleagues in best practices.
- benefits
- 3/5
- freshness
- 1/5
- 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 Betty as an employer.
What you need
- Bachelor's degree in Computer Science, Data Science, or a related field
- 3+ years of experience in a data warehouse engineering or related role
- Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery
- Good programming skills in Python
- Proficiency with SQL and data modelling
- Experience with pipeline orchestration tools (e.g., Airflow, Dagster)
Nice to have
- Experience with DBT
- Experience with stream processing frameworks (e.g., Apache Kafka)
- Experience with containerization technologies (e.g., Docker, Kubernetes)
- Experience with data visualization tools (e.g., Looker, Tableau, Power BI)
What you get
- Competitive salary
- Premium Health insurance
- Career and skills development opportunities
- Fun and collaborative team environment
- New modern office space
Worth weighing
- No salary range provided
- Focus on data engineering best practices may require ongoing learning and adaptation to new technologies
- Emphasis on collaboration suggests a potentially dynamic work environment with varying responsibilities
Summarised from Betty 's posting. Read the full original.
Listed by Betty on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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