Data Engineer

Are you passionate about Data? Are you excited by the opportunity to build a beloved B2B brand? Do you want to have a significant impact at a high-growth startup?

At OpenPhone, building simple and delightful experiences is not only our competitive advantage but a value we hold dear. This philosophy applies to everything we do; from the way we work to the look and feel of our product, from the infrastructure it’s running on to our content, customer interactions, and everything else.

The Data Engineer at OpenPhone will build high quality data pipelines driving analytic solutions. The role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions.

Here Are Some Things You'll Do:

• Solve complex data problems to deliver insights that helps our business to achieve their goals
• Create data products for analytics and data scientist team members to improve their productivity
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
• Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
• Implement security and recovery tools and techniques as required
• Work with Data Scientist to make sure that all data solutions are consistent
• Ensure all automated processes preserve data by managing the alignment of data availability and integration processes

About You:

• Bachelor of Science in Computer Science, Engineering, Mathematics, Statistics or related subject
• 2-5 years of experience in developing modern data pipelines and applications for analytics (e.g., BI, reporting, dashboards) and advanced analytics (e.g., machine learning, deep learning) use cases
• Expertise designing and implementing data pipelines using modern data engineering approach and tools: SQL, Python, Delta Lake, Databricks, Spark, Glue, Nifi , Streamsets , cloud-native DWH ( BigQuery , Snowflake, Redshift), Kafka/Confluence, Presto/ Dremio /Athena
• Experience with developing solutions on cloud computing services and infrastructure with AWS
• Experience with database development
• Worked with BI tools such as Tableau, Qlick , PowerBI or cloud-native ones such as Looker, QuickSight
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, DWH, etc.
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Excellent communication, listening, and influencing skills

There's no such thing as a 'perfect' candidate. We're looking for an optimist with grit and determination, who is excited to face the challenges of a growing startup. OpenPhone is the type of company where you can grow, and we encourage you to apply to us even if you don't 100% match the exact candidate description.

About OpenPhone

OpenPhone is a new type of business phone. Our mission is to help people communicate better and be more productive.

We’re backed by Y Combinator and the best venture firms including Slow Ventures, Kindred Ventures, and others. We're serving thousands of businesses around the world and growing quickly. We take a lot of pride in providing an exceptional customer experience and a product people love. Our customers rated us #1 on all possible categories on G2 Crowd.

We're a distributed team working from San Francisco, Seattle, Ottawa, Moscow, Manila, Phoenix, and Sydney.

We are committed to creating an inclusive workplace that values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.