The Senior Data Engineer will play a key role in driving data insights to support product adoption and customer retention at Zendesk. This individual will design and implement scalable, high-quality data solutions while collaborating closely with engineering and analytics teams to enhance data systems and operations.
What You'll Do
- Collaborate with team members to define requirements and translate them into scalable data models and pipelines.
- Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.
- Work with raw data and transform it into structured, usable formats for analytics and reporting.
- Build and optimize SQL-based data models using dbt and other ETL tools.
- Identify and implement improvements in data delivery, processing performance, and system efficiency.
- Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.
- Partner with data engineering teams to drive standardization and consistency of product data modeling, schemas and insights reporting across the entire company.
What We're Looking For
- Background in a quantitative field, such as analytics, engineering, applied mathematics, statistics.
- A degree (BS/BA or equivalent experience) is preferred.
- Data engineering/analytics engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments.
- Extensive experience with SQL, ideally in the context of data modeling and analysis.
- Hands-on production experience with dbt, Airflow and Snowflake.
- Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.
- Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems. This includes identifying bottlenecks, ensuring scalability, and minimizing operational costs in cloud-based data environments.
- Experience with Tableau, Looker, or similar data visualization tools.
- Excellent communication and collaboration skills.
- Boundless intellectual curiosity - you are self-motivated and unafraid to ask questions in order to learn and grow.
Nice to Have
- Experience at fast-paced and scaled B2B Tech companies a plus.
Technical Stack
- SQL
- dbt
- Airflow
- Snowflake
- Google BigQuery
- Amazon Redshift
- ETL
- ELT
- data modeling
- Tableau
- Looker
Team & Environment
- Product Analytics team collaborating with engineering and analytics teams
Benefits & Compensation
- Hybrid work model allowing both onsite and remote work
- Opportunity to purposefully come together in person at Zendesk offices to connect, collaborate, and learn
- Flexibility to work remotely for part of the week
- Fulfilling and inclusive work experience
- Global diversity, equity, & inclusion in the workplace
- Reasonable accommodations for applicants with disabilities and disabled veterans
Work Mode
- Part of the week onsite at local office; specific in-office schedule determined by hiring manager
- Locations: Mexico City (CDMX), Mexico State (Estado de Mexico)
- Type: hybrid
Zendesk is an equal opportunity employer. Individuals are considered without regard to race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. Zendesk is an AA/EEO/Veterans/Disabled employer. Reasonable accommodations are provided for applicants with disabilities pursuant to applicable federal and state law.
