Senior Data Engineer
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Before you apply
LocationTampa, Florida, United States
Typecontract
SenioritySenior
Experience7+ yrs
Company size2+ people
PostedOct 12, 2026 · 3w ago
Verified live5h ago
At a glanceSummarised by Seekless from the posting.
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
Databricks certification
Skills
Databricks
Python
PySpark
SQL
Apache Spark
Tableau
Spotfire
Oracle
Informatica
R
Responsibilities
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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.
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Your responsibilities will include:
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Developing and maintaining scalable data pipelines and reusable datasets within a Databricks lakehouse environment
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Ingesting, validating, cleaning and transforming structured and unstructured data from multiple sources using Python, PySpark and SQL
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Building data models and reporting datasets that support Tableau and established analytics tools such as Spotfire
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Integrating established data warehouse and reporting systems with modern cloud analytics platforms
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Improving pipeline reliability, data quality and processing performance
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Implementing automated testing, monitoring, documentation and CI/CD practices
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Partnering with analysts, architects, developers and business stakeholders to deliver practical data solutions
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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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