Senior Data Engineer

About phData

phData is a dynamic and innovative leader in the modern data stack, partnering with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt. We are 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, fostering a community of technological curiosity, ownership, and trust in a casual, exciting work environment. We are recognized as an award-winning workplace in the US, India, and LATAM and are a 6x Snowflake Partner of the Year.

The Role: Data Engineer

Join phData as a Data Engineer to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration. You will work with core cloud data platforms and leverage your programming expertise to solve complex data challenges for global enterprises.

Required Experience

• At least 4+ years of experience as a Data Engineer, Software Engineer, or Data Analyst.
• Ability to develop end-to-end technical solutions into production and ensure performance, security, scalability, and robust data integration.
• Programming expertise in Java, Python, and/or Scala.
• Experience with core cloud data platforms including Snowflake, AWS, Azure, Databricks, and GCP.
• Proficiency in SQL and the ability to write, debug, and optimize SQL queries.
• Client-facing English written and verbal communication skills and experience.
• Ability to create and deliver detailed presentations.
• Experience creating detailed solution documentation (e.g., POCS, roadmaps, sequence diagrams, class hierarchies, logical system views).
• 4-year Bachelor's degree in Computer Science or a related field.
• Strong English communication skills (written and verbal).

Preferred Experience

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

Why phData?

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

Diversity & Inclusion

phData celebrates diversity and is committed to creating an inclusive environment for all employees. We prohibit discrimination and harassment of any kind. If you would like to request an accommodation due to a disability, please contact People Operations.