Senior Data Engineer
phData is revolutionizing how our clients use data and artificial intelligence. As the premier services provider specializing in data application and data platform services, we partner with the leading technology companies across the modern data stack to deliver cutting-edge solutions. We are technology evangelists around critical ecosystem tools like Snowflake, AWS, Azure, dbt, Sigma, Tableau, and Power BI. We are passionate about helping global enterprises overcome their toughest challenges by building AI solutions and data applications and then getting these solutions into production.
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. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
- 4x Snowflake Partner of the Year (2020, 2021, 2022, 2023)
- Fivetran, dbt, Atlation, Matillion 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 US, India and LATAM
- Inc 5000 Fastest Growing US Companies (2020-2023)
Required Experience:
- At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
- Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
- 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 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
Prefer any of the following:
- 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
- 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
Why phData? We offer:
- 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
#LI-DNI
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
