Building cutting-edge technology and data solutions for life insurance and annuities.

Data Engineer II

Data EngineerData EngineerFull TimeRemoteTeam 51-200Since 2017H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

137 days ago

Salary

$125K - $140K / year

Bachelor Degree4 yrs expEnglishAirflowAmazon RedshiftApacheAWSAzureBig QueryCloudDockerGoogle Cloud PlatformGRPCPythonSQLTerraform

Job Description

• Build robust solutions for transferring data from first and third-party applications to and from our data warehouse • Making decisions as a team. The things you build will be maintained and improved upon by others; there is a shared responsibility to make defensible design considerations and high collaboration. • Develop hardened and repeatable (CI/CD) data models and pipelines to enable reporting, modeling and machine learning. • Improve data availability to our enterprise clients through a mix of traditional push delivery, cloud, and event-driven (eg: API, grpc) data sharing methods. • Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation. • Leverage Google Cloud (GCP) tools (eg: Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM, etc.) and services (eg: Astronomer - Apache Airflow) to bring data workloads to production. • Drive and support MLOps to improve Data Science monitoring and governance • Enable and support Generative AI (eg: LLM) pipelines, allowing internal teams to quickly prototype. Support the architecture and rollout of GenAI products and features into the marketplace. • Collaborate with product, engineering, stakeholders and data teams to deliver informed solutions to platform and client needs.

Job Requirements

4+ years working in a data engineering role that supports incoming/outgoing products supporting internal and external customers.
2+ years demonstrated expertise in designing an end-to-end data pipeline in cloud frameworks (such as GCP, AWS, Azure) with requirements from multiple stakeholders.
2+ years of Python or similar experience writing efficient, testable, and readable code
2+ years experience in building streaming data ingestion pipelines
1+ year of ML (Machine Learning) support and implementation or MLOps.
Deep SQL experience with columnar databases such as Google BigQuery, Snowflake, or Amazon Redshift
Demonstrated experience with AI Coding assistants – AI tools are heavily engrained in Bestow culture.
Experience building CICD pipelines for data processing using tools such as Docker, CircleCI, dbt, git, etc
Able to manage infrastructure using IAC tools such as Terraform or Pulumi
Experience with common data orchestration tools such as Apache Airflow (or similar) to manage SLOs and processing dependencies
Experience with creating alerts and monitoring pipelines which contribute to overall data governance.
Experience with containerization and container orchestration technologies with cloud architecture and implementation features (single- and multi-tenancy, orchestration, elastic scalability)
Familiarity with standard IT security practices such as identity and access management (IAM), data protection, encryption, certificate, and key management.
Adaptability to learn new technologies and products as the job demands.
Nice to have: Familiarity with building tools that draw upon Generative AI (GenAI) integrations (Enterprise-grade, not simply vibe-coded).
Nice to have: experience with data contracts, data lakes, and API development

Benefits

Competitive salary and equity based on role
Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs
100% paid-premium option for medical, dental, and vision insurance
Lifestyle stipend to support your physical, emotional, and financial wellbeing
Flexible work-from-home policy and open to remote
Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting
Employee-led diversity, equity, and inclusion initiatives