Data Engineer

BetterX•Charleston, SC

16d

About The Position

About BetterX BetterX is the technology subsidiary of Better Collision Centers , created to bring modern, practical, AI-powered solutions to industries that have historically been underserved by technology. We build systems that simplify complex workflows, remove manual bottlenecks, and deliver clean, reliable data that teams can trust. Our tools support real-world operations in collision repair and other service-based businesses, with a strong focus on usability, performance, and reliability. We are a small, fast-moving team that values ownership, strong engineering fundamentals, and shipping production-ready systems that make a real impact. About the Role We are seeking a Data Engineer to design, build, and deliver a secure, scalable data pipeline connecting external webhooks, cloud data warehouses, and CRM systems. This is a temporary, project-based role with an expected duration of three to six months , with a strong possibility of extension or conversion to a full-time position based on performance and business needs. You will work closely with API, platform, AI, and analytics teams to ensure downstream systems receive clean, well-structured, and trustworthy data.

Requirements

2–3+ years of professional experience with Python and SQL
Hands-on experience building modern data pipelines (batch and/or streaming)
Experience working with semi-structured data , including XML and JSON
Familiarity with cloud platforms such as AWS, GCP, or Azure
Experience with data warehouse platforms such as Snowflake
Strong understanding of data modeling and layered data architectures
Experience implementing data quality checks, retry logic, and reconciliation processes
Ability to work independently and deliver production-ready systems within a defined timeline
Strong communication skills and comfort working cross-functionally

Nice To Haves

Experience with collision repair, insurance, or automotive data
CRM data integration or API-based data delivery
Multi-tenant cloud architecture design
Exposure to data observability tools (Great Expectations, Datadog, Monte Carlo)
Familiarity with analytics tools such as Tableau or Power BI

Responsibilities

Design and implement event-driven, incremental data ingestion pipelines using webhooks and cloud data warehouse tools
Ingest and process high-volume XML and JSON data using idempotent, retry-safe logic
Build and maintain raw, parsed, and curated data layers in Snowflake or similar cloud warehouses
Implement data validation, reconciliation checks, and error-handling for critical pipelines
Monitor pipeline health, including latency, throughput, and error rates
Design and enforce secure, multi-tenant data isolation and role-based access control
Partner with API, AI, analytics, and business stakeholders to support CRM integrations and data delivery
Document pipeline architecture, schemas, data flows, and operational runbooks

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