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Data Engineer

Posted about 5 hours agoViewed

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💎 Seniority level: Middle, 3+ years

📍 Location: United States

💸 Salary: 135000.0 - 150000.0 USD per year

🔍 Industry: Fintech

⏳ Experience: 3+ years

🪄 Skills: AWSPythonSQLApache AirflowETLGCPKubernetesSnowflakeAPI testingData engineeringData modeling

Requirements:
  • 3+ years of experience as a Data Engineer
  • 3+ years of using Apache Airflow in a production setting.
  • Expert in Python and SQL
  • Hands-on experience with cloud platforms such as Google Cloud (GCP) or AWS.
  • Familiarity with our modern data stack: Snowflake, Airflow, Apache Beam, DBT, Looker, Secoda, Fivetran, hightouch
  • BS in Computer Science or equivalent program
Responsibilities:
  • Develop, maintain, and optimize data pipelines to support analytics, reporting, and business intelligence needs.
  • Design and implement data integrations across multiple backend business systems, ensuring efficient and reliable data flows.
  • Work on streaming data processing using frameworks like Apache Beam to handle real-time data ingestion and transformation.
  • Build and maintain APIs to enable seamless data access and sharing across internal teams and platforms.
  • Manage orchestration and automation of workflows using Airflow on Kubernetes.
  • Ensure data quality, security, and compliance by implementing best practices for monitoring, testing, and governance.
  • Collaborate with analytics and engineering teams to optimize data models and improve system performance.
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