Analytics Engineer (LatAm)
Homeward · Remote - Latin America
Posted about a month ago · Previously reposted
or apply directly on Homeward's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 42 days Homeward's roles stay open a median of 22 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 14% of Homeward's roles list one
- Ghost-job risk at Homeward
- low 1 stale, 5 reposted of 7 open
- Hiring momentum
- 19 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-24
Measured from postings appearing on and disappearing from Homeward's own greenhouse board since 2026-08-03. Full hiring picture for Homeward.
About this role
The Analytics Engineer at Homeward will focus on building and maintaining the data infrastructure that supports decision-making across the company. This role involves owning the data pipelines, ensuring their reliability and scalability, and collaborating with various teams to translate business needs into technical solutions. The engineer will also be responsible for designing data models, implementing data governance practices, and preparing the architecture for AI use cases.
- benefits
- 2/5
- freshness
- 1/5
- 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 Homeward as an employer.
What you need
- Strong experience in analytics engineering, data engineering, business intelligence, or a similar data-focused role.
- Advanced proficiency in SQL and dimensional data modeling, with demonstrated experience designing scalable analytical datasets.
- Hands-on experience building and maintaining production data models and semantic layers using dbt.
- Demonstrated experience owning or supporting data ingestion and transformation pipelines, including diagnosing failures and improving pipeline reliability.
- Experience designing data architecture that balances scalability, maintainability, usability, and business needs.
- Experience with AWS or a comparable cloud data environment.
Nice to have
- Familiarity with modern AI/LLM applications and AI-enabled data tooling, with an understanding of how data architecture needs to evolve to support AI use cases.
What you get
- Contractor engagement
- Competitive hourly rate
- Computer reimbursement
- Fully remote, LatAM-based, meaningful overlap with U.S. Central Time business hours.
Worth weighing
- Position is a long-term contract and not eligible for U.S. visa sponsorship or relocation.
- Candidates must be based in Latin America.
- The role emphasizes ownership and proactive problem-solving, which may require a high level of independence.
- The focus on AI readiness suggests a forward-looking data architecture, but specifics on current tools and practices are not detailed.
Summarised from Homeward's posting. Read the full original.
Listed by Homeward on their greenhouse job board, last confirmed open on 2026-09-24. PitchMeAI is not the employer.
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