Further Group · 1 day ago
Senior Data Engineer
Cleveland, OH
Full-time
Hybrid
Senior Level
6+ years expFurther is a data, cloud, and AI company focused on helping organizations turn raw data into informed decisions. The Senior Data Engineer will lead the data engineering consulting team, designing and deploying sophisticated data architectures to support AI and Machine Learning applications.
Health CareHealth InsuranceInsuranceInsurTechSmall and Medium Businesses
Responsibilities
Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses
Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments
Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards
Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference
Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams
Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability
Standardize the organization's approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements
Qualification
Required
6+ years of data engineering experience with a focus on modern cloud platforms
Expert-level proficiency in Python and SQL is mandatory
Strong software engineering background with proficiency in Python for building custom integrations and data tools
Deep production experience with dbt for data modeling and Airflow for orchestration
Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure
Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant
Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture
Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub
Preferred
Experience architecting feature stores or data pipelines specifically for ML workloads
The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction
A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation
An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production
Benefits
Net-zero cost medical option
Company contributions to your HSA
Fertility support
Fully-paid parental leave
A monthly stipend for your lifestyle spending account
Company
Further Group
Further Group helps insurance companies and employers to develop healthcare solutions.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
AnaCap
2022-06-07Private Equity
Company data provided by crunchbase