Ex Parte, Inc
Lead Data Engineer
Bethesda, MD, United States
Sponsorship not specifiedDetected 1533 days ago
PythonScalaAlgorithmsNoSQLDatabricksAWSAzureCloud PlatformsDevOpsMachine LearningSparkData EngineeringNLPAgileCommunicationProblem SolvingTime ManagementOrganizational Skills
About the role
- Every year, corporations spend more than $250B on litigation in the United States alone.
- And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
- Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Responsibilities
- 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
- Evaluate software and implementation options and document them for technical teams
- Integrate best qualitative practices in program design and development.
- Develop technical architectures and specific implementations to meet business needs.
Requirements
- 3+ years experience with RDBMS and T-SQL.
- 3+ years experience with NoSQL and DataLakes.
- 3+ Knowledge of Spark, Python, or Scala
- Proficiency in writing production-quality code
- Experience with Azure or AWS cloud-based service-oriented architecture
- Experience working in an Agile/Scrum environment
- Ability to work on challenging issues independently or in a team environment
- Ability to learn and adapt quickly to new technologies and environments
- As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Nice to have
- Experience with Databricks or Azure ML
- 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.
Company info
- Be a part of a distributed team (we're in North America and Europe)
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