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Symetra · 23 hours ago

Sr. Data Engineer

United States

Full-time

Remote

Mid, Senior Level

$114K/yr - $189K/yr

Symetra is a national financial services company dedicated to helping people achieve their financial goals and feel confident about the future. In this role, you’ll architect and develop modern cloud-based solutions for the enterprise data warehouse and lead significant projects while mentoring other data engineers.

Financial ServicesHealth InsuranceInsuranceLife Insurance

Growth Opportunities

No H1B

Responsibilities

Architect and develop modern cloud-based solutions for the enterprise data warehouse, data marts, and data platforms

Lead in the delivery of significant projects, guiding and mentoring other data engineers to deliver modern cloud ETL/BI solutions

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc

Research, analyze, recommend and select technical approaches for solving exciting and complex development and integration problems

Create and maintain automated methods of orchestrating data flows and products while monitoring data quality and the status of related infrastructure

Implement additional project components (API interfaces) for accessibility

Implement secure cloud data solutions which align to privacy and security controls

Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality

Qualification

Cloud data solutionsData engineeringAWS technologiesData architecturesInfrastructure-as-codeData conceptsScripting languagesStream analyticsAgile developmentDevOps practices

Required

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc

Research, analyze, recommend and select technical approaches for solving exciting and complex development and integration problems

Create and maintain automated methods of orchestrating data flows and products while monitoring data quality and the status of related infrastructure

Implement additional project components (API interfaces) for accessibility

Implement secure cloud data solutions which align to privacy and security controls

Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality

A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it

Contribute to the overall data platform architecture and evolution

Experience with data concepts (SQL, NoSQL, Normalization) and working with complex data structures

Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform

Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams)

Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go

Working knowledge of scripting languages such as bash or powershell

Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors

Must have a background in data engineering – Data Warehouse, ETL/ELT and BI experience

Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to solve complex business and technical problems

Working experience with various stream analytics technologies

Familiarity with modern engineering practices, including agile development, CI/CD and devops

High school diploma required