Senior Data Engineer

Summary

Join phData, a leading innovator in the modern data stack, partnering with major cloud data platforms. We are a remote-first global company committed to helping global enterprises overcome their toughest data challenges. We offer a casual, exciting work environment with autonomy for top performers. We've received multiple awards as a workplace and boast numerous partner of the year awards and expert cloud certifications. phData is looking for a skilled Data Engineer with 4+ years of experience. The ideal candidate will have expertise in Java, Python, or Scala, core cloud data platforms, and SQL. Competitive compensation, excellent benefits, and generous PTO are offered, along with opportunities for professional development.

Requirements

• Demonstrate programming expertise in Java, Python, and/or Scala
• Show proficiency in core cloud data platforms including Snowflake, AWS, Azure, Databricks, and GCP
• Write, debug, and optimize SQL queries
• Possess client-facing English written and verbal communication skills and experience
• Hold a 4-year Bachelor's degree in Computer Science or a related field
• Showcase strong English communication skills (written and verbal)

Responsibilities

• Develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration
• Create and deliver detailed presentations
• Produce detailed solution documentation (e.g., including POCs and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

Preferred Qualifications

• Have production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
• Be experienced with Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
• Have experience with 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
• Have experience with Multiple data sources (e.g., queues, relational databases, files, search, API)
• Have complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
• Have experience with Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
• Have experience with Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

Benefits

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