CertifID

Data Engineer

CertifID

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAmazon RedshiftBigQueryCloudCyber SecurityKafkaPythonScalaSparkSQL

About the role

  • Build and maintain scalable, secure, and reliable data pipelines to support analytics, product insights, and machine learning initiatives.
  • Contribute to data architecture decisions, balancing performance, reliability, and maintainability.
  • Collaborate with product, engineering, and business stakeholders to deliver data solutions that drive strategic and operational impact.
  • Promote data quality and governance by implementing best practices for validation, lineage tracking, and observability.
  • Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.

Requirements

  • 5+ years of proven experience in data engineering, ideally in a fast-paced, product-focused environment.
  • Solid understanding of cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).
  • Strong programming skills in Python or Scala, and proficiency in writing efficient SQL.
  • Familiarity with real-time data processing frameworks (e.g., Kafka, Spark Streaming).
  • Experience designing data models for analytics and machine learning use cases.
  • A proactive mindset, a strong sense of ownership, and a passion for solving meaningful problems.