Data Engineer
New
United StatesFull-TimeMiddle
Salary118,000 - 148,000 USD per year
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Job Details
- Experience
- 3-5 years
- Required Skills
- PythonSQLKafkaKubernetesSnowflakeAirflowTerraformBigQueryDatabricks
Requirements
- 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
- Proven experience building and scaling modern data platforms and delivering high-impact data solutions
- Strong proficiency in Python and SQL
- Experience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks)
- Experience building batch pipelines using DAG-based orchestrators (e.g., Dagster, Airflow)
- Experience with event-driven architectures using Kafka, Kinesis, or Event Hubs
- Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming
- Experience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm or Istio
- Experience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage)
- Experience with Infrastructure-as-Code (e.g., Terraform)
Responsibilities
- Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
- Contribute to the architecture and maintenance of the Data Platform, ensuring systems are performant, cost-efficient and scalable
- Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
- Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization
- Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
- Contribute to team standards, patterns, and best practices
- Drive improvements to infrastructure, developer workflows, CI/CD, and data platform tooling
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