Job Location: Remote
This position will be part of a team whose primary responsibilities are working with data from our customers. Responsibilities include identifying, acquiring, validating, cleansing, and producing data and datasets to be used in advanced analytics and predictive modeling initiatives by our internal teams. This is accomplished by combining data processing experience with software engineering concepts into solutions that are hosted in our cloud-based platforms. This role will report to the Director of Data Development.
This position will leverage the following tools and platforms
- Microsoft SQL Server
- AWS
- Snowflake
- Internal Configuration Applications
You will use the following skills
- Data extraction, transformation, and cleansing
- Data profiling and visualization
- Collaborating with data scientists, software engineers, product managers, subject matter experts, and customers
- Managing and maintaining metadata
- Performance optimization: e.g. approaches to speed up lookups on extra-large datasets
- Development cycles using the agile approach
This position requires the ability to
- Work in a fast-paced environment as part of a small team
- Identify opportunities to automate data engineering tasks and workflow
- Documentation of processes and requirements
- Manage and facilitate projects from start to finish
- Translate and convert data between multiple formats
- Produce derivative data
- Automate repetitive tasks and process workflows
You have
- 6+ Years Software Engineering/Development Experience
- 2+ years of Data Engineering experience with TSQL, python, or functional programming
- Bachelorโs degree in Computer Science, Programming, or related technical areas
- Experience with AWS
- Reporting/data warehousing experience
- JSON, XML and CSV, and varying file format data experience
Preferred
- Experience with Snowflake a plus
- Insurance industry knowledge or experience with insurance data is a plus
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