Homesite Insurance was founded in 1997 and was one of the first companies to enable customers to purchase home insurance directly online, during a single visit. Since then, we've continued to innovate rapidly to meet the needs of our customers and their changing expectations.
One thing that's stayed the same since our founding: our commitment to our customers, partners and employees.
Join us on our journey as we continue to grow into a powerful contender in the field of insurance.
Compensation may vary based on the job level and your geographic work location.
Compensation Minimum:$76,000Compensation Maximum:$149,000The Cloud Data Engineer is a specialized role participating in designing and implementing systems on Public Cloud infrastructure to deliver more analytical and business value from a wide range of data sources. You will work with the team to design and develop high-performance, resilient, automated data pipelines, streams, and applications, adapting technologies for ingesting, transforming, classifying, cleansing and exposing data using creative design to meet objectives. Your skills and education in data management technologies will enable you to match the right technologies to the required schemas and workloads. Our focus is on the AWS and GCP platforms, with a strong serverless bias. We rely heavily on Python, PySpark, BigQuery and related technologies, and work in an Agile, DevOps team culture. We expect you to bring an array of specialized skills noted below, and to come prepared to learn rapidly to build on the foundation of your basic skills and education in this field.
Required Experience and Skills: (Experience is expected to be hands-on work, and formal education)
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent work experience
- Some exposure to working with datasets with very high volume of records or objects
- Intermediate level programming experience in Python and SQL
- One year working with Spark or other distributed computing frameworks (may include: Hadoop, Cloudera)
- Two years with relational databases (typical examples include: PostgreSQL Microsoft SQL Server, MySQL, Oracle)
- Some exposure to AWS services including S3, Lambda, one or more AWS database technologies including Redshift, DynamoDB or Athena
- Some exposure to AWS services: DynamoDB, Step Functions
- Experience with contemporary data file formats like Apache Parquet and Avro, preferably with compression codecs, like Snappy and BZip.
- Experience analyzing data for data quality and supporting the use of data in an enterprise setting.
Desired Experience and Skills:
- Some exposure to Machine Learning tools and practices, including DataRobot, Sagemaker or others
- Some exposure to Google Cloud Platform (GCP) services, which may include any combination of: BigQuery, Cloud Storage, Cloud Functions, Cloud Composer, Pub/Sub and others (this may be via POC or academic study, though practical experience is preferred)
- Streaming technologies (e.g.: Amazon Kinesis, Kafka)
- Graph Database experience (e.g.: Neo4j, Neptune)
- Distributed SQL query engines (e.g.: Athena, Redshift Spectrum, Presto)
- Experience with caching and search engines (e.g.: ElasticSearch, Redis)
- ML experience, especially with Amazon Sagemaker, DataRobot, AutoML
- IAC coding tools, including CDK, Terraform, Cloudformation, Cloud Build
When you work at Homesite you can expect benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, and a paid-time off program. In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns at Homesite are eligible for the paid time off program. Contingent workers are not eligible for American Family Enterprise benefits.
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