Data Platform Engineer
8.0/10
Sardine
Not specified
Remote
mid
29 days ago
aidevtechETLAPIsBigtableBigQueryElasticSearchNoSQLSQLApache FlinkApache Beam
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Description
Our culture
- •We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere
- •We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
- •We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
What you'll be doing
- •Design and implement ETL pipelines capable of processing terabytes of data efficiently.
- •Develop and optimize APIs to support fast and reliable data retrieval, including both exact and partial matches.
- •Architect and manage scalable storage solutions (e.g., Bigtable, BigQuery, ElasticSearch, or other NoSQL/SQL systems).
- •Collaborate with teams to turn raw data into actionable products, driving insights and business value.
- •Work closely with both internal and external stakeholders, including data science, product, and operation.
- •Document processes, architectures, and APIs.
- •Mentor junior engineers and foster a culture of technical excellence.
Benefits we offer
- •Generous compensation in cash and equity.
- •Early exercise for all options, including pre-vested.
- •Work from anywhere: Remote-first Culture.
- •Flexible paid time off and Year-end break.
- •Health insurance, dental, and vision coverage for employees and dependents - *US and Canada specific*.
- •4% matching in 401k / RRSP - *US and Canada specific*.
- •MacBook Pro delivered to your door.
- •One-time stipend to set up a home office — desk, chair, screen, etc.
- •Monthly meal stipend.
- •Monthly social meet-up stipend.
- •Annual health and wellness stipend.
- •Annual Learning stipend.
Requirements
What you'll need
- •Advanced English proficiency (C1 level) is mandatory.
- •5+ years of experience building scalable backend systems, designing high-performance APIs, and processing large-scale datasets.
- •Hands-on experience designing and building streaming pipelines using technologies like Apache Flink, Apache Beam, Airflow, and Apache Spark.
- •Expertise in Go, Python, or Java, combined with a strong foundation in SQL and NoSQL databases (such as Bigtable, BigQuery, or DynamoDB) for scalable storage solutions.
- •Proficiency with AWS or GCP infrastructure, containerization using Docker and Kubernetes, and managing CI/CD pipelines to support efficient deployments.
- •Strong analytical skills with the ability to thrive in a fast-paced, team-driven environment and clearly communicate complex technical concepts.
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