SailPoint

Senior Data Engineer – Snowflake

SailPoint

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $105,500 - $195,900 per year

Job Level

Senior

Tech Stack

ApacheAWSAzureCassandraCloudETLGoogle Cloud PlatformJavaKafkaPythonScalaSparkSQL

About the role

  • Design , construct, and optimize scalable ETL / ELT pipelines for both batch and real-time data using DBT, Apache Spark and Apache Flink.
  • Develop and manage data schemas and warehouses within Snowflake , ensuring data is organized for efficient querying and analysis.
  • Collaborate with infrastructure teams to administer and optimize data storage solutions using Cassandra for high-velocity, wide-column data, and graph databases for complex relationship-based data.
  • Build and maintain data ingestion workflows for real-time applications using Apache Flink to process data from sources like Apache Kafka.
  • Tune complex Spark, Flink , SQL, and CQL queries to improve performance and reduce cost within Snowflake and other database systems.
  • Implement and enforce data quality standards, monitor pipelines, and establish data governance policies to ensure data integrity and security.
  • Collaborate with DevOps teams to manage and automate the deployment of data applications using CI/CD pipelines.
  • Work with data scientists, BI analysts, and other stakeholders to translate complex data requirements into scalable engineering solutions.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 6+ years of professional experience in data engineering or a similar role.
  • Strong proficiency in programming languages like Python, Scala, or Java.
  • Expert-level knowledge of Snowflake for data warehousing, including data modeling and query optimization.
  • Hands-on experience with Apache Spark for large-scale data processing.
  • Experience with Apache Flink for building real-time data streaming applications.
  • Strong experience with Cassandra for managing and optimizing distributed data storage.
  • Solid understanding and hands-on experience with graph databases and their query languages (e.g., Gremlin, Cypher).
  • Familiarity with a major cloud provider (e.g., AWS, Azure, GCP) and its data-related services.
Benefits
  • Health and wellness coverage: Medical, dental, and vision insurance
  • Disability coverage: Short-term and long-term disability
  • Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
  • Additional life coverage options: Supplemental life insurance for employees, spouses, and children
  • Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
  • Financial security: 401(k) Savings and Investment Plan with company matching
  • Time off benefits: Flexible vacation policy
  • Holidays: 8 paid holidays annually
  • Sick leave
  • Parental support: Paid parental leave
  • Employee Assistance Program (EAP) and Care Counselors
  • Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
  • Health Savings Account (HSA) with employer contribution

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETLELTDBTApache SparkApache FlinkSnowflakeCassandraSQLCQLPython
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