Comfort Keepers is accelerating its’ data journey to boost sustainable business growth and enhance service offerings to consumers, clients, and employees. A Data Community is being created to support Data quality monitoring and improvement through businesses and functions. The Senior Data Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. This role will work closely and collaboratively with members of the Data & Analytics and Development team to define requirements, mine and analyze data, integrate data from a variety of sources, and deploy high- quality data pipelines in support of the analytics needs of the business

We are searching for a Senior Data Engineer who will design and build scalable and reliable ML/AI solutions integrating and optimizing algorithms at every stage of the Product life cycle

The successful candidate will:

• Provide support during the scoping and minimum viable model phases
• Design and co-implement functional blocks to ensure a scalable and reliable ML/AI solution all along the product life cycle
• Drive innovation within Comfort Keepers recommending & testing new AI/ML technologies

Is this the right opportunity for you? We are looking for candidates that have/are:

• Strong command of relational databases and SQL. Extract, Transform, and Load (ETL) data into a relational database.
• Excellent knowledge of Python and experience in Scala.
• Good understanding of both OOP and functional programming.
• Experience with Java and C# mandatory.
• Experience with R is a plus
• Experience with Spark is a must with knowledge of message-based systems (service bus, Kafka, Stream).
• Experience in Azure Databricks is a plus.
• Architecture and cloud patterns: Microservices (Azure Functions) architectures, SOA architectures, API design practices (HATEOAS, GraphQL, etc)
• Databases: SQL (Azure SQL Server) and NoSQL (ElasticSearch, CosmosDB, MongoDB).
• Proven experience of Snowflake is a plus.
• Excellent knowledge of data structures
• Excellent knowledge of big data-oriented file formats (Parquet/Delta, ORC, AVRO)
• Experience in dashboarding and visualization tools is a plus (PowerBI in particular).
• Experience in Azure Machine Learning Services is a plus

Position Physical Demands:

This is a remote position with some required onsite meetings in the Irvine, CA office. Candidate must have a stable reliable internet connection.

Compensation:

The targeted compensation range for this position is up to 130k, based on experience.

An Equal Opportunity and Affirmative Action employer, Comfort Keepers considers applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status, or any legally protected status. We will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship.

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