Data Engineer

We are looking for a Data Engineer to join client's growing team of analytics experts. In this role you will work as part of cross functional teams, including data scientists, other data engineers, technology experts, and subject matter experts to develop data driven solutions. Successful candidates will be responsible for building, expanding, and optimizing our data, data storage, and data pipeline. This individual will support team members (data scientists, software developers, etc.) and decision products to ensure that data delivery is reliable and optimized. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. facilitative leadership this role will help the team continue its history of success. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance sustainability goals.

• Enhance and maintain current data pipelines and associated infrastructure
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Engage with different stakeholder teams to troubleshoot various database systems
• Build and maintain tools that monitor data and system health
• Identify, design, and implement internal process improvements to optimize production of results and enable cost savings.
• Performance tune and optimize data pipeline on Spark
• Create and maintain documentation describing data catalog and data objects

• Bachelor’s degree in computer science, an engineering field, or equivalent work experience in an engineering field

• 3 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE

• Python
• Pandas
• APIs
• Scikit Learn
• PySpark or equivalent big data processing framework
• Mastery of database design fundamentals
• Familiarity with a CI/CD tool
• Familiarity with an infrastructure as code tool
• Experience writing production-level code
• Experience writing health checks, unit tests, integration tests, schema validations
• Knowledge of Time Series data set development.
• Demonstrated commitment to teamwork and enabling others
• Proven ability to translate business desires into technical requirements
• Ability to communicate with various stakeholders and leadership
• Ability to breakdown an ambiguous problems

• Familiarity with cloud computing security fundamentals
• Experience with the Palantir Foundry platform
• Experience working with data scientists and machine learning engineers
• Familiarity with model deployment
• Front end tools: PowerBi, Tableau