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Open nowPosted 10 hours ago

Senior Data Engineer

Workable (global search)106,928 open roles

Where
FL, United States
Work mode
Remote
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Your applicationOpen nowSenior Data EngineerWorkable (global search) · FL, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

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The clock on this job

Early applications get read.

9.0% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.0%7 days
  4. 15.5%14 days
  5. 34.1%30 days
This job: posted 10 hours ago

Workable (global search) median: 4 days open

The posting

  • You’ll build and maintain data pipelines and datasets that support reporting, visualization, machine learning and data-driven decision making across finance, sales, supply chain, marketing and other business functions.
  • Your responsibilities will include:
  • Developing and maintaining scalable data pipelines and reusable datasets within a Databricks lakehouse environment
  • Ingesting, validating, cleaning and transforming structured and unstructured data from multiple sources using Python, PySpark and SQL
  • Building data models and reporting datasets that support Tableau and established analytics tools such as Spotfire
  • Integrating established data warehouse and reporting systems with modern cloud analytics platforms
  • Improving pipeline reliability, data quality and processing performance
  • Implementing automated testing, monitoring, documentation and CI/CD practices
  • Partnering with analysts, architects, developers and business stakeholders to deliver practical data solutions
  • Providing technical guidance, reviewing code and mentoring other data engineer

Requirements

  • 7+ years of experience in data engineering, including building and supporting production data pipelines
  • Strong SQL skills and a solid understanding of data modeling, database design and data warehousing
  • Hands-on experience with Databricks, Apache Spark and cloud data platforms
  • Strong proficiency in Python and PySpark
  • Experience developing ETL/ELT pipelines and integrating data from multiple source systems
  • Experience preparing reliable datasets for Tableau or comparable business intelligence tools
  • Familiarity with source control, automated testing and CI/CD practices
  • Ability to troubleshoot complex data issues and optimize pipeline performance
  • Strong communication skills and experience collaborating with technical teams and business stakeholders
  • Experience with Spotfire, Oracle, Informatica, R or data virtualization preferred
  • Databricks certification preferred
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