AI Technologies LLC.
Staff Engineer
AI Technologies LLC., Santa Clara, California, us, 95053
Job Responsibilities
Develop product features to ingest and augment data about insurance Claims, Providers, Billing, Legal, Medical Images, etc from multiple sourcesBuild frameworks to handle data at high scale using technologies like Apache Spark and data cataloging tools like Apache Hive, AWS Glue on top of a multi-tiered data lake storageUse exploration and analytic tools like Apache Zeppelin, AWS Athena/Presto on top of Apache Hive to probe and validate dataBuild ETL pipelines using Apache Airflow and integrate with multiple components and data sources and sinksBe an ardent code contributor to multiple product domains spanning insurance Claims, Bills, Providers and Attorneys affiliated with the claim to augment the data and help with Feature Engineering work for the AI modulesDesign and architect new product features and be a strong proponent of using up-to-date tools and help the team adopt such toolsQualifications & Experience
Candidates with 5+ years’ experience in data engineering, who have either obtained a Graduate degree in the field of Computer Science or related field, or Bachelor's degree with 7+ years of relevant experience in the above fields.Experience with the following software/tools is highly desired:
Apache Spark, Kafka, Hive, etcSQL and NoSQL databases like MySQL, Postgres, DynamoDBWorkflow management tools like AirflowAWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMRFamiliarity with Spark programming paradigms (batch and stream-processing)RESTful API services
Strong programming skills in at least one of the following languages: Java, Scala, C++. Familiarity with a scripting language like Python as well as Unix/Linux shellsExperience implementing software around data processing, metadata management, ETL pipeline tools like AirflowExperience working with cross-functional teams in a fast-paced environmentKnowledge of healthcare data pertaining to insurance claims is helpfulAbility to translate data needs into detailed functional and technical designs for development, testing and implementationAbility to identify and communicate risks and issues affecting business rules, functional requirements and specificationsAbility to serve as a liaison between technical, quality assurance and non-technical stakeholders throughout the development and deployment process.
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Develop product features to ingest and augment data about insurance Claims, Providers, Billing, Legal, Medical Images, etc from multiple sourcesBuild frameworks to handle data at high scale using technologies like Apache Spark and data cataloging tools like Apache Hive, AWS Glue on top of a multi-tiered data lake storageUse exploration and analytic tools like Apache Zeppelin, AWS Athena/Presto on top of Apache Hive to probe and validate dataBuild ETL pipelines using Apache Airflow and integrate with multiple components and data sources and sinksBe an ardent code contributor to multiple product domains spanning insurance Claims, Bills, Providers and Attorneys affiliated with the claim to augment the data and help with Feature Engineering work for the AI modulesDesign and architect new product features and be a strong proponent of using up-to-date tools and help the team adopt such toolsQualifications & Experience
Candidates with 5+ years’ experience in data engineering, who have either obtained a Graduate degree in the field of Computer Science or related field, or Bachelor's degree with 7+ years of relevant experience in the above fields.Experience with the following software/tools is highly desired:
Apache Spark, Kafka, Hive, etcSQL and NoSQL databases like MySQL, Postgres, DynamoDBWorkflow management tools like AirflowAWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMRFamiliarity with Spark programming paradigms (batch and stream-processing)RESTful API services
Strong programming skills in at least one of the following languages: Java, Scala, C++. Familiarity with a scripting language like Python as well as Unix/Linux shellsExperience implementing software around data processing, metadata management, ETL pipeline tools like AirflowExperience working with cross-functional teams in a fast-paced environmentKnowledge of healthcare data pertaining to insurance claims is helpfulAbility to translate data needs into detailed functional and technical designs for development, testing and implementationAbility to identify and communicate risks and issues affecting business rules, functional requirements and specificationsAbility to serve as a liaison between technical, quality assurance and non-technical stakeholders throughout the development and deployment process.
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