Senior Data Engineer

October 10

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CLARA Analytics

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workers'​ compensation • occupational injuries • insurtech • data science • predictive analytics

51 - 200

Description

• Clara Analytics aims to enhance insurance claims outcomes through AI and machine learning. • Seeking an experienced Senior Data Engineer to lead and mentor the data engineering team. • Responsibilities include building data processing pipelines and collaborating with Data Science teams. • Familiarity with AWS or GCP environments is required and strong data tools experience is needed. • Fast-paced startup working environment with bi-weekly sprint schedules.

Requirements

• Candidates with 7+ years’ experience in software engineering, building large scale systems. • Highly proficient with Redshift, RDS, Apache Spark, Hive, etc. • SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch. • Workflow management tools like Airflow. • AWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMR. • Strong programming skills in at least one of the following languages: Java, Scala, Python and/or C++ accepted. • Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques. • Experience implementing software around data processing, metadata management, ETL pipeline tools like Airflow. • Experience working with cross-functional teams in a fast-paced environment. • Experience working with Data Science and Machine Learning Engineering and ML Ops to build/deploy robust and scalable production systems. • Ability to translate data needs into detailed functional and technical designs for development, testing and implementation. • Ability to serve as a liaison between technical, quality assurance and non-technical stakeholders throughout the development and deployment process.