Lead Data Engineer

You’ll lead a team that owns the AI self-service portal and the related set of microservices. You’ll work with a cross-functional team of engineers to contribute to our data platform.  The role also offers the opportunity to grow into either more back-end or ML/AI work depending on your interests and experience.

In this role, you can expect to:

·       Work directly with product owners and data experts to build products that solve to solve complex client problems

·       Build and support a distributed platform supporting all ExParte data

·       Work across our product, primarily on the data pipelines

·       Interface directly with internal teams

·       Evaluate software and implementation options and document them for technical teams

·       Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows

·       Integrate best qualitative practices in program design and development.

·       Be a part of a distributed team (we’re in North America and Europe)

·       Work with Azure cloud and Databricks

·       Develop technical architectures and specific implementations to meet business needs.

·       Guide the team’s software engineering best practices by documenting standards and completing code reviews.

·       Troubleshoot new and existing code and provide feedback and solutions to structural issues in the codebase as they arise.

·       Advise on the feasibility of nonfunctional requirements and ensure the successful implementation of features while meeting those requirements.

Requirements:

·       3+ years experience with RDBMS and T-SQL.

·       3+ years experience with NoSQL and DataLakes.

·       3+ Knowledge of Spark, Python, or Scala

·       Strong familiarity with map/reduce programming models

·       Proficiency in writing production-quality code

·       Deep expertise in database schema design, optimization, and scalability

·       Experience with Azure or AWS cloud-based service-oriented architecture

·       Solid understanding of testing pyramid (unit, integration, black box, service)

·       Experience working in an Agile/Scrum environment

·       Strong analytical and problem-solving skills

·       Good time management and organizational skills

·       Ability to work on challenging issues independently or in a team environment

·       Ability to learn and adapt quickly to new technologies and environments

·       Strong communication skills

Nice-to-have's:

·       Experience with Databricks or Azure ML

·       Experience applying machine learning algorithms to solve complex data mining problems

·       Experience with BI tools

·       Understanding of cloud platforms and providers and DevOps

·       Bachelor's Degree in Computer Science, Engineering, Mathematics or related field

All your information will be kept confidential according to EEO guidelines.