Senior Data Engineer

United StatesRemotesenior

Data EngineerData

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Overview

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic,

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Data EngineerData

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
2025 Fivetran Partner of the Year (4th consecutive year)
2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
2026 KNIME Customer Excellence Partner of the Year
Preferred Partner in the Anthropic Claude Partner Network
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
Recognized as an award-winning workplace in the US, India and LATAM

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

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