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HelpGrid logo
HelpGrid

Customer Support & Abandoned Cart Recovery

Foundational Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 51-200Since 2015H1B No SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

168 days ago

Salary

0

Seniority

Senior

Job Description

Foundational Data Engineer

HelpGrid

• Evaluate and restructure existing data architecture to support scalability and performance • Design new schemas, relationships, and data models that align with business logic and analytics needs • Build and maintain a HelpGrid-centric data layer that consolidates fragmented sources into a central structure • Provide strategic guidance on how data should be organized, named, and modeled for long-term sustainability • Establish best practices for schema versioning, documentation, and change control • Design and implement the company’s first ETL framework, defining how data is extracted, transformed, and loaded from multiple sources • Build automated, reliable pipelines that move data from the centralized database and external tools into analytics-ready structures • Standardize transformation logic to clean, normalize, and enrich data for business use • Implement pipeline monitoring, error handling, and validation for data quality assurance • Provide architectural and workflow recommendations for how data should flow between systems and teams • Define how analysts should access, refresh, and use data safely and consistently • Partner with the Data & Analytics Manager to align the engineering roadmap with BI and reporting priorities • Develop scalable, reusable scripts and frameworks that simplify ongoing data management • Integrate data from internal and third-party platforms into a centralized environment • Optimize query and pipeline performance for high-volume operations • Build APIs or microservices for data synchronization and access • Document data lineage, schema definitions, and system dependencies • Implement data access controls, validation checks, and compliance standards • Maintain transparent documentation for analysts, developers, and leadership • Promote data stewardship and governance best practices across departments

Job Requirements

  • 3–5 years of experience in data engineering, architecture, or backend development
  • Proven success building or restructuring data environments for scalability and reliability
  • Strong command of SQL and at least one programming language (Python, NodeJS, or similar)
  • Experience designing and implementing ETL/ELT frameworks from scratch
  • Hands-on experience with data warehouses or data lakes (Azure, Microsoft Fabric, Snowflake, or AWS Redshift)
  • Solid understanding of data modeling principles, including star schema and normalization
  • Familiarity with APIs, data validation, and version control (Git)

Benefits

  • Health insurance
  • Professional development opportunities

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