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 fostering a community of technological curiosity and ownership. We hire top performers and offer autonomy to deliver results. phData is an award-winning workplace seeking top talent to expand our network of skilled professionals. We encourage applications even if no role is currently available; your information will be added to our system for future opportunities. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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 written and verbal communication skills and experience
• Create and deliver detailed presentations
• Produce detailed solution documentation (e.g., POCs and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
• Hold a 4-year Bachelor's degree in Computer Science or a related field
• Have at least 4+ years of experience as a Software Engineer, Data Engineer, or Data Analyst

Responsibilities

Develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration

Preferred Qualifications

• Possess production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
• Show expertise in 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
• Demonstrate 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
• Show expertise in 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