phData works exclusively in the realm of data and machine learning. By partnering with the biggest cloud data platforms (Snowflake, AWS, Azure, Fivetran, dbt), we’re able to help the world’s largest companies solve their toughest challenges.

Our work is challenging and our standards are high, but we invest heavily in our employees, starting with a 2-4 week bootcamp to ensure your success. Plus, you’ll get to work with the brightest minds in the industry and the best in class platforms on the market. And, because the data and ML industry is changing rapidly, you will always have the opportunity to learn - whether that’s a new technology, diving deeper into your preferred stack, or picking up an entirely new skill set.

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. Our award winning workplace fosters learning, creativity, teamwork and diversity.

• 2022 Snowflake Partner of the Year
• 2022 Best Places to Work
• Best Places to Work (2017, 2018, 2019, 2020, 2021)
• Inc. 5000 Fastest Growing US Companies (2019, 2020, 2021)
• Minneapolis/St. Paul Business Journal’s Fast 50 (2021)
• Snowflake Elite, Snowpark Accelerated & Snowflake Partner of the Year (2020 & 2021)

Fueled by talented Data Scientists, Engineers, Analytics Experts and innovative thought leaders, phData is shaping the future of data. We're looking for Solutions Architects and Sr. Data Engineers to help customers gain tangible value from their data.

Our Senior Data Engineers working seamlessly across a variety of technical stacks Snowflake, AWS, Azure

• Designing and implementing data solutions best-suited to deliver on our customer needs and use cases — from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
• Providing thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to get their solutions into production — and to help ensure performance, security, scalability, and robust data integration
• Design and development custom data pipelines for data extraction using Java, Python, SQL and Spark. 

Required Experience: 

• At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
• Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries
• Programming experience in Java, Python, Scala, or another modern programming languages
• Production experience one or more core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
• Experience designing and developing customer data pipelines for data extraction using Java, Python, and SQL is highly preferred

Any of the following experience is a plus: 

• Production experience in core data platforms: Snowflake, Databricks, AWS, Azure, GCP, Hadoop
• 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, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc
• 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

At phData, our Engineers are exceptional at... 

• Thinking independently and seeing the big picture
• Translating customer needs into solutions
• Confidently standing behind your recommendations
• Exploring new technologies in an effort to always grow and uncover better ways to solve problems (for instance: automating all the things)
• Explaining your technical decisions, both internally and externally
• Smiling in the face of complex problems
• Collaborating and helping your fellow data engineers learn and grow
• Working seamlessly across a variety of best of class  cloud technologies (Snowflake, AWS, Azure....)

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