Staff Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the development, maintenance, and scaling of our data pipelines that integrate data from various internal and external sources into our data warehouse.

• Collaborate with internal stakeholders to comprehend analysis requirements and consumption trends.

• Work alongside upstream engineering teams to improve data logging practices and standards.

• Engage in architectural discussions and contribute to planning for the company’s evolving data needs as we grow.

• Embrace and promote best practices in data engineering related to data processing, modeling, and lake/warehouse development.

• Provide guidance to engineers and other cross-functional partners on the efficient use of our data tools.

⛳️ Requirements

• Possess 7+ years of experience in building large-scale data platforms.

• Background in Data Engineering and/or Analytics Engineering, focusing on scalable data warehouses.

• Proficient in Dimensional Modeling (Star Schema, Kimball, Inmon) and Data architecture concepts; capable of coaching and influencing others to elevate the practice of Data Engineering.

• Excellent collaboration and communication abilities, proven by successful large-scale projects involving multiple teams.

• Advanced SQL expertise (comfort with window functions, defining UDFs).

• Experienced in Python and Spark for developing and maintaining data pipelines and ETL/ELT processes.

• Familiarity with dbt, Snowflake, BigQuery, Redshift, or other data warehouses.

• Experience in implementing real-time and batch data pipelines with strict SLOs and complex transformation needs.

• Develop data models, schemas, and standards for event data.

• Optimize data storage and access methods for quick querying.

• Enhance data reliability, discoverability, and observability.

• Knowledge of Data Engineering tools: data ingestion, transformation testing, lineage, orchestration, data publishing, and metric layers.

• Familiarity with storage solutions such as Hudi, Delta Lake, and Iceberg.

• Aptitude for product analysis, dashboard creation, and reporting.

• Understanding of infrastructure tools such as Terraform/Pulumi and experience with Kubernetes.

• Proficiency in AWS cloud services.

• Nice to haves:

• Experience in building streaming applications or pipelines utilizing asynchronous messaging services or distributed streaming platforms like Apache Kafka.

• Knowledge of Airflow or other orchestration tools.

• Experience with Spark or PySpark.

• Familiarity with event-driven architecture and streaming data processing frameworks such as Kafka, Spark, and Flink.

• Experience with time-series databases like Clickhouse or InfluxDB.

🏝️ Benefits

• Competitive salary along with a stock option incentive program.

• Healthcare coverage fully funded by the company.

• Flexible work arrangements.

• Company-sponsored team lunches and retreats.

• An international organization that allows you to work across borders, travel to different locations, and experience the dynamics of a rapidly growing startup.

• A diverse and inclusive team.