Cloud Data Engineer
About The Position
The Cloud Data Developer supports the development and operation of cloud-based data pipelines that power analytics, marketing operations, and reporting across the organization. This role focuses on building reliable ELT workflows, supporting Snowflake environments, and ensuring data quality, governance, and operational stability for marketing and data privacy teams. This position is well-suited for early-career engineers looking to grow within a modern data stack centered on Snowflake, dbt, and enterprise orchestration tools, with exposure to privacy, compliance, and downstream marketing activation platforms.
Requirements
- Bachelor's Degree in Computer Science, Engineering or other related field of study.
- 1–2 years of experience in data engineering, analytics, or a related role (internships included).
- Solid working knowledge of SQL.
- Familiarity with Snowflake, dbt, or comparable cloud data warehouse tools.
- Basic understanding of ELT concepts and job scheduling/orchestration (e.g., Control-M).
- Exposure to enterprise data environments and production data workflows.
- Strong analytical thinking, attention to detail, and collaboration skills.
Nice To Haves
- Experience with cloud data platforms such as Snowflake.
- Experience with dbt/Matillion or similar ELT tools.
- Familiarity with Salesforce data structures or integrations.
- Exposure to OneTrust, data privacy, or consent-driven data controls.
- Experience using Git and basic CI/CD concepts.
- Introductory experience with Python for data or automation tasks.
- Familiarity with BI tools (Tableau, Power BI, Looker).
Responsibilities
- Build, test, and support ELT pipelines using Matillion and dbt to ingest and transform data into Snowflake.
- Assist with onboarding new source data and maintaining existing ingestion workflows.
- Develop modular, version-controlled dbt models aligned with business and analytics requirements.
- Support dimensional and analytical modeling efforts under guidance from senior engineers.
- Schedule and monitor data workflows using Control-M, ensuring reliable and timely execution.
- Assist in troubleshooting job failures and resolving upstream/downstream dependencies.
- Help manage Snowflake warehouses, schemas, and roles under established governance standards.
- Support performance tuning, cost awareness, and basic access control requests.
- Implement and monitor basic data quality checks and freshness validations.
- Support privacy and consent workflows by integrating data outputs with OneTrust controls.
- Assist in ensuring downstream data usage aligns with compliance and marketability requirements.
- Support data feeds into platforms such as Salesforce Marketing Cloud or other marketing and analytics tools.
- Partner with analysts and stakeholders to validate data outputs and resolve issues.
- Maintain clear documentation for pipelines, models, and operational procedures.
- Contribute to team standards, naming conventions, and best practices.
- Maybe asked to participate in a rotational on-call schedule, including evenings or weekends, to help resolve data pipeline or platform incidents.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
