RevOps Analytics Engineer
Lean Layer · Remote · United States · Brazil ·
COMPENSATION
$80k – $120k
Listed on the employer's job board (Ashby)
- Fully remote
- 3-5 years experience
- SQL + Python
- No US visa sponsorship
- Contractor outside US
Lean Layer is expanding its consulting team and needs a RevOps Analytics Engineer to own data infrastructure across client environments. You will ensure reliable pipelines, scalable data models, and high-quality revenue data by collaborating with consultants and analysts.
This position focuses on data engineering and warehouse management. You will translate business context into technical solutions, working directly with clients and internal teams to support reporting and decision-making.
What you'll do
- Design and maintain dataset structures and warehouse schemas
- Manage warehouse performance, partitioning, and cost optimization
- Build and maintain ETL/ELT pipelines from revenue systems
- Integrate data from HubSpot, Salesforce, and analytics platforms
- Monitor pipeline health and resolve synchronization failures
- Design analytics-ready data models for accounts and opportunities
- Support BI tools like Looker and optimize reporting queries
- Implement data validation, testing, and documentation
What you'll need
- 3-5 years in data engineering or analytics engineering
- Strong SQL skills and data warehouse experience
- Experience with Salesforce or HubSpot as data sources
- Proficiency in building and maintaining ETL/ELT pipelines
- Ability to design analytics-ready data models
- Familiarity with API-based integrations and data syncing
- Python skills for data pipelines or automation
- Experience with dbt, Looker, and GitHub
Nice to have
- Knowledge of marketing automation platforms like HubSpot
- Understanding of SaaS revenue metrics such as ARR and MRR
- Familiarity with SaaS terminology like MQL and SQL
- Experience with reverse ETL or operational data workflows
Stack
- SQL
- Python
- BigQuery
- Snowflake
- Redshift
- Salesforce
- HubSpot
- dbt
- Looker
- GitHub
How you'll work
- Fully remote position
- US visa sponsorship not available
- Non-US hires engaged as full-time contractors