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Sr Data Engineer
Horsham, Pennsylvania  |  Remote, Onsite
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Applied on November 27, 2022
Job Id #60304 Posted November 4, 2022

Role Summary:

  • This role will be responsible for transforming extensive and complex data into consumable business capabilities.
  • Create system architecture, design, and specification using in-depth engineering skills and knowledge to solve complex development problems and achieve engineering goals.
  • Determine and source appropriate data for a given analysis.
  • Work with data modelers/analysts to understand the business problems they are trying to solve, then create or augment data assets to feed their analysis.
  • Acts as a resource and mentor for colleagues with less experience.

Core Responsibilities:

  •  Lead a team of data engineers to develop data products and tools, explore new technologies, and continually improve tools and processes.
  •  Hands-on experience working with Data Analysis and Architecture, Spark, PySpark, Python, Sqoop, Pig, Hive, No SQL Data Stores, Object Store, Design and Development of APIs, Kafka
  •  Create business value by leading the design, get your hands dirty, write code, and ultimately deploy big data and machine learning capabilities.
  •  Possess expert knowledge in performance, large-scale data distributed system scalability, system architecture, and data engineering best practices.
  •  Give the highest priority to operational excellence, evaluate system performance, security, design system metrics, and driving quality improvements.
  •  Provide leadership, work collaboratively, and be a mentor in a fantastic team.
  •  Your expertise is deep and broad; you’re hands-on, producing both detailed technical work and high-level architectural designs.
  •  5+ years of recent hands-on in an object-oriented language (Java, Scala, Python).
  •  5+ years of experience designing and building data pipelines and data-intensive applications.
  •  Experience using Big Data frameworks (e.g., Hadoop, Spark), databases for complex data assembly and transformation.
  •  Experience working with Healthcare data is a plus.

Must have skills:

  • Data Analysis and Architecture, Spark, PySpark, Python, Sqoop, Pig, Hive, No SQL Data Stores, Object Store, Design and Development of APIs, Kafka

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact

All applicants applying must be legally authorized to work in the country of employment.


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Horizontal is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.


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