Loop Recruitment · 13 hours ago
Senior Data Engineer
United States
Full-time
Remote
Senior Level
$145K/yr - $175K/yr
5+ years expLoop Recruitment is an exciting, fast-growing SaaS company operating in the insurance technology space. They are seeking a Senior Data Engineer to design, build, and scale a modern data platform, working closely with Product Engineering and BI teams to deliver high-quality data across various use cases.
Staffing & Recruiting
Hiring Manager
Ashley Loofe
Responsibilities
Design, build, and maintain scalable ETL / ELT pipelines across batch and real-time environments
Architect and own the OLAP data platform (Redshift and related components), partnering with product engineers on OLTP data integrations
Build reliable, observable, and maintainable pipelines using Python, AWS Glue, Kafka / Kinesis
Define and enforce best practices around data quality, validation, automated testing, and CI/CD
Own and evolve data models supporting analytics, product usage tracking, and real-time decision-making
Collaborate with BI, Product, and cross-functional stakeholders to translate requirements into robust data solutions
Improve data reliability, governance, lineage, and observability across the stack
Mentor engineers and help set strong data engineering and platform standards
Qualification
Required
5+ years' experience as a Data Engineer working with large-scale data systems
Strong Python expertise for building and orchestrating data pipelines
Deep experience with AWS Redshift, including performance tuning, modelling, and workload management
Hands-on experience with AWS Glue, Kafka/Kinesis, and streaming data patterns
Proven Data DevOps experience, including: Managing OLAP data infrastructure, Coordinating OLTP data workflows with product engineering, CI/CD and infrastructure tooling (Terraform, CloudFormation, GitHub Actions, CodePipeline, etc.) & Automated testing frameworks for data
Strong communicator - comfortable partnering with BI and product teams to design scalable data solutions
Ownership-driven mindset and comfort in a fast-paced, growth-oriented SaaS environment
Confident using modern AI-assisted development tools (e.g. Cursor, Claude Code, agent-based tooling) - knowing when to trust, adapt, or override outputs to deliver high-quality solutions
Preferred
Experience with ClickHouse or other analytical databases
Exposure to workflow orchestrators (Airflow, etc.)
Docker and container platforms (ECS, EKS, etc.)
Familiarity with data observability tooling
Benefits
Benefits
Company
Loop Recruitment
Welcome to Loop 🚀 We’re a tech recruitment agency with a people-first approach.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase