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Lead/Senior Data Engineer

phData
US - Remote, United StatesRemotefull_timeVerifiedPosted 11 Mar 2025

About the role

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges.   

phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

Required Experience:

  • 4+ years as a hands-on Data Engineer and/or Software Engineer designing and implementing data solutions
  • Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
  • Ability to multitask, prioritize, and work across multiple projects at once.
  • Programming expertise in Java, Python and/or Scala, including experience with software development life cycle, including unit and integration testing
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • Experience using SQL and the ability to write, debug, and optimize SQL queries
  • Client-facing written and verbal communication skills and experience
  • Create and deliver detailed presentations 
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
  • 4-year Bachelor's degree in Computer Science or a related field

Prefer any of the following: 

  • Production experience in core data platforms: Snowflake (including Snowflake Native Apps), AWS, Azure, GCP, Hadoop, Databricks, IICS
  • Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
  • Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
  • Multiple data sources (e.g. queues, relational databases, files, search, API)
  • Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
  • Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
  • Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

Why phData? We offer:

  • Remote-First Work Environment
  • Casual, award-winning small-business work environment
  • Collaborative culture that prizes autonomy, creativity, and transparency
  • Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
  • Accelerated learning and professional development through advanced training and certifications

 

#LI-DNI

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and

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phData

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