Analytics Data Engineer
OfficeRnD•Boynton Beach, FL
•Hybrid
About The Position
OfficeRnD is seeking a passionate Analytics Data Engineer who is enthusiastic about championing data practices and making a significant impact on the teams they collaborate with. As an Analytics Data Engineer, you will own and evolve our modern data stack, ensuring that data flows seamlessly from source systems to business-facing analytics. A core part of this role is building and maintaining well-structured data models in the warehouse, defining how data is organized, transformed, and consumed across the company.
Requirements
- 2–4 years of experience as a Data Engineer or Analytics Engineer
- Proficiency in SQL
- Strong experience with dbt, including macros, tests, and performance optimization
- Experience with Snowflake or a similar cloud data warehouse (Redshift, BigQuery, etc.)
- Familiarity with Fivetran or other ELT tools
- Experience with Looker (LookML, dashboards, user permissions)
- Good understanding of data modeling concepts (e.g. fact and dimension tables, structuring data for analytics)
- Comfort working with Git-based workflows, preferably GitHub Actions or similar CI/CD orchestration
- Analytical mindset with attention to detail and a pragmatic approach to problem-solving
- Excellent communication and documentation skills in English
Nice To Haves
- Experience with dimensional modeling in practice (e.g. star schema)
- Python
- Data quality frameworks
- Background in SaaS or B2B product analytics
Responsibilities
- Build and maintain robust data models in dbt, leveraging advanced features, macros, and best practices
- Structure and transform data into clear layers (staging, intermediate, marts)
- Maintain and support our data infrastructure
- Monitor and optimize data syncs, warehouse performance, and cost
- Support Looker dashboards and explores by ensuring accurate and well-modeled underlying data
- Collaborate cross-functionally with diverse stakeholders to deliver data solutions that drive decision-making
- Identify and resolve data quality issues, performance bottlenecks, and data integration challenges
- Act as a subject-matter expert on the data, its relationships, and overall structure
Benefits
- Premium health insurance incl. dental.
- 25 days off a year.
- 1 additional day off for your birthday.
- 3 days off for volunteering.
- Full remuneration of your first 3 days of sick leave.
- Co-funded sports card to support your active lifestyle.
- Learning and development opportunities.
- Parking access or a public transport pass.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
