Lead Data Engineer, Palantir Foundry (Contractor)

** REMOTE ROLE for Contractor anywhere in N. America **

** 12 month contract and possible extension | East Coast Hours **

** Rate = $80 - 90/hr USD Based On Experience 

Description:

Data Engineers at Credera work closely with Subject Matter Experts (SMEs) to design the ontology (data model), develop data pipelines, and integrate Foundry with external systems containing the data. Data engineers provide guidance, support, and best practices on how to access / leverage the data foundation to create new workflows or analyze results / data.

Responsibilities Include:

• Hands-on project experience with Palantir Foundry, including data integration, data modeling, and application development
• Strong Python experience with expertise in using Pandas, NumPy, and PySpark
• Expertise in machine learning and predictive analytics, with hands-on experience in developing and deploying ML models
• Confident to review/approve pull requests and provide guidance for developers on the Predictive AI team
• Background in data science preferred
• Helps identify opportunities within their platform (Palantir Foundry) and work with Product and Digital Technology leadership to address.
• Strong communicator and collaborator able to educate Product and other stakeholders on predictive AI capabilities in general and Palantir Foundry in specific, and how these capabilities are integrated with AARP's digital platforms
• Works with requirements from Product and assist developers with guidance.
• Challenge and collaborate with Product on requirement modifications where appropriate

Requirements:

•  Palantir Foundry, including data integration, data modeling, and application development
• Generative AI on AWS such as Amazon Bedrock, Amazon SageMaker, Amazon EC2, Amazon EC2 UltraClusters, AWS Trainium or AWS Inferentia
• Python – complete language proficiency 
• SQL – proficiency in querying language (join types, filtering, aggregation) and data modeling (relationship types, constraints)
• PySpark – basic familiarity (DataFrame operations, PySpark SQL functions) and differences with other DataFrame implementations (Pandas)
• Distributed compute – conceptual knowledge of Hadoop and Spark (driver, executors, partitions)
• Databases – general familiarity with common relational database models and proprietary instantiations, such as SAP, Salesforce etc.
• Git – knowledge of version control / collaboration workflows and best practices
• Iterative working – familiarity with agile and iterative working methodology and rapid user feedback gathering concepts
• Data quality – best practices

About us:

Credera, trading as TA Digital, is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organization that can scale due to our extensive footprint. As a values-led organization, our mission is to make an extraordinary impact on our clients, our people, and our community. We believe it is this approach that has allowed us to work with and transform the most influential brands and organizations in the world, from strategy through to execution.

More information is available at www.credera.com. We are part of the OPMG Group of Companies, a division of Omnicom Group Inc.

Fraud Prevention:

Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.

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