Data Engineer

About

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. We maintain a casual, exciting work environment and hire top performers, allowing you the autonomy to deliver results.

Awards and Recognition:

• 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
• Fivetran, dbt, Atlation, and AWS Partner of the Year
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc.)
• Recognized as an award-winning workplace in the US, India, and LATAM.

Responsibilities

• Develop end-to-end technical solutions into production.
• Help ensure 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.).

Requirements

• At least 4+ years of experience as a Data Engineer, Software Engineer, or Data Analyst.
• Programming expertise in Java, Python, and/or Scala.
• Core cloud data platforms including Snowflake, AWS, Azure, Databricks, and GCP.
• SQL and the ability to write, debug, and optimize SQL queries.
• Client-facing English written and verbal communication skills and experience.
• 4-year Bachelor’s degree in Computer Science or a related field.
• Strong English communication skills (written and verbal).

Preferred Qualifications:

• Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks.
• 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.
• 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.
• Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines.
• Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi.