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Alteryx Engineer

Job in Texas City, Galveston County, Texas, 77592, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2025-12-01
Job specializations:
  • Engineering
    Data Engineer
Job Description & How to Apply Below

Alteryx Engineer for onshore resource for a 12-month project supporting the Alteryx tool and current process supporting aftermarket solutions pricing model.

Key Responsibilities:
  • Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
  • Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
  • Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
  • Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS.
  • Support pipelines currently running from Alteryx to Enterprise Data Warehouse, and document business logic accordingly.
  • Develop and deliver detailed presentations to effectively communicate complex technical concepts.
  • Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
  • Adhere to Agile practices throughout the solution development process.
  • Design, build, and deploy databases and data stores to support organizational requirements.
  • Basic Qualifications:
  • 2-4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
  • Ability to travel at least 25%.
  • Preferred

    Skills:
  • 2+ years of experience leading a team supporting data-related projects to develop end-to-end technical solutions.
  • Demonstrate production experience in core data platforms such as Snowflake and Azure.
  • Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in ADLS.
  • Exhibit a strong understanding of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure Data Factory, Google Data Proc.
  • Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
  • Undergraduate or Graduate degree preferred.
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