Senior Data Engineer

5 days ago


Plano, Texas, United States JobRialto Full time

About the Role

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JobRialto is seeking a skilled Senior Data Engineer to join our team at our San Antonio or Plano campus. This role involves working on-site, focusing on data engineering tasks including real-time data ingestion and validation using tools like Snowflake, Kafka, and DBT.

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About You

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We are looking for an experienced professional with 6+ years of experience in data engineering and data movement, strong proficiency in SQL, and expertise in Snowflake and Kafka. Familiarity with DBT for data transformation is also essential.

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The ideal candidate will have hands-on experience with mid to large-sized development projects, a strong attention to detail, and effective documentation and validation skills.

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Your Key Responsibilities

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  • Design and develop high-quality, scalable, and efficient solutions on schedule.">
  • Support the creation of unit tests to ensure accuracy and reliability of deliverables.">
  • Identify and resolve high-risk areas to ensure project success.">
  • Provide timely and accurate updates on the status of technical tasks.">
  • Ensure alignment of project goals with development objectives.">
  • Document processes and suggest improvements under the guidance of senior team members.">
  • Migrate near real-time data from source systems to the Snowflake database using Kafka.">
  • Perform data validation and maintain documentation for processes and workflows.">
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About the Compensation

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The estimated annual salary for this position is $140,000-$180,000, depending on experience and qualifications.

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What We Offer

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At JobRialto, we offer a competitive compensation package, opportunities for career growth, and a collaborative work environment.

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Requirements

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  • 6+ years of experience in data engineering and data movement.">
  • Strong proficiency in SQL (6+ years).">
  • Experience with Snowflake and Kafka.">
  • Familiarity with DBT for data transformation.">
  • 3+ years of experience with Python (preferred but not mandatory).">
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Preferred Qualifications

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  • Experience in ingesting data using Kafka and working with real-time data processes.">
  • Strong attention to detail with effective documentation and validation skills.">
  • Familiarity with working in collaborative on-site environments.">


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