The Data Engineer will design, build, and maintain data pipelines and models to ensure high-quality data for analytics and machine learning. Key responsibilities include managing ingestion, transformation, and modeling workflows, optimizing data for analytics, and ensuring governance and reliability across data processes.
We are looking for a skilled Data Engineer to design, build, and maintain the pipelines and models that power our analytics, reporting, and machine learning initiatives. You’ll be central to transforming raw data into reliable, actionable insights by integrating diverse sources into a unified data platform.
This is a hands-on role where you’ll own the end-to-end data flow — from ingestion and transformation to modeling and optimization — ensuring that data across the company is high-quality, consistent, and scalable.
Key Responsibilities
- Design, develop, and maintain data ingestion, transformation, and modeling pipelines.
- Build and optimize data models to support analytics, dashboards, and KPIs.
- Deliver data models for use by ML Engineers, Data Analysts, and Data Scientists.
- Ensure data quality, reliability, and governance across ingestion and transformation workflows.
- Collaborate cross-functionally on initiatives requiring clean, well-structured data.
- Continuously improve performance, scalability, and maintainability of data workflows.
Core Technologies
- Fivetran – for automated, scalable data ingestion.
- Snowflake – as our centralized, cloud-native data warehouse.
- GraphQL – for flexible, application-agnostic data consumption.
Required Qualifications
- 4+ years of experience in data engineering, with strong pipeline and modeling expertise.
- Deep knowledge of data warehousing and data modeling in cloud platforms (e.g., Snowflake).
- Hands-on experience with Fivetran and GraphQL.
- Strong skills in SQL and Python for data manipulation and pipeline development.
- Familiarity with AWS and Google Cloud environments.
- Understanding of data governance, schema evolution, and CI/CD practices.
Preferred Qualifications
- Experience with Snowpark AI / Cortex or similar AI-enabled data platforms.
- Exposure to Connector SDK for building custom connectors.
- Knowledge of data security, replication, and failover strategies.
- Experience working with educational data platforms or LMS systems.
At PeopleGrove, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. PeopleGrove is proud to be an equal opportunity workplace.
If you need assistance or an accommodation due to a disability, you may contact us at [email protected]
Top Skills
AWS
Fivetran
GCP
GraphQL
Python
Snowflake
SQL
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