or apply directly on Aceable's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 35 days Aceable's roles stay open a median of 71 days
- Reposted
- No
- Salary listed
- Yes 57% of Aceable's roles list one
- Ghost-job risk at Aceable
- high 5 stale, 0 reposted of 7 open
- Hiring momentum
- 9 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 Aceable's own greenhouse board since 2026-08-03. Full hiring picture for Aceable.
About this role
The Sr Analytics Engineer at Aceable will work on a small team to tackle complex data architecture and pipeline challenges, from building data pipelines to creating dashboards and AI agents. This hands-on role involves collaborating with various stakeholders to transform ambiguous business questions into reliable data products, while ensuring data quality and improving existing systems. The engineer will also be responsible for the entire data product lifecycle, from design to deployment and maintenance.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
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 Aceable as an employer.
What you need
- 7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similarly technical data role
- Advanced SQL and hands-on experience building production-scale transformations in a cloud data warehouse, ideally Snowflake, dbt, and GitHub or close equivalents
- Strong understanding of dimensional modeling, data marts, data quality testing, documentation, version control, code review, and software development lifecycle practices
- Experience with at least one data integration, ETL/ELT, orchestration, or event-data platform
- Experience building semantic models, DAX measurements, dashboards, and self-service data products using Power BI or an equivalent modern BI platform
- Ability to take a highly ambiguous business problem, ask the right questions, and turn it into something reliable and maintainable
Nice to have
- Hands-on experience with Matillion or Segment
- Experience supporting digital event instrumentation and transforming customer journey, product usage, and marketing data into trusted, analytics-ready datasets
- Familiarity with APIs, JSON, Python, Git, CI/CD, and automated deployment workflows
- Experience with data observability, lineage, governance, privacy, role-based access, and warehouse cost optimization
What you get
- Competitive total rewards (base salary + bonus/stock options, if applicable)
- 401k match
- Robust medical, dental, and vision benefits
- Generous paid time off programs + 19 paid holidays per year
- Flexible work schedule
- Wellness programs
Worth weighing
- No salary listed in the posting, but a range is provided
- The role requires a strong technical depth across multiple areas, which may be challenging for some candidates
- The position involves a high degree of autonomy and problem-solving, which may not suit everyone
- The company is in a hybrid work environment, which may have varying expectations for remote work
Summarised from Aceable's posting. Read the full original.
Listed by Aceable on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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