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Foundational Data Engineer (Worldwide Remote)

Remote Worldwide Hiring now

About reputed company

reputed company is a performance-driven growth partner for eCommerce brands in the health and wellness reputed company. We specialize in abandoned cart recovery, post-sale engagement, and customer support, helping our clients recover 10–15% more reputed company from existing traffic. In fact, our work drove over $35 reputed company in additional reputed company for our clients last year alone.

What started as a small but mighty support team has grown into a reputed company reputed company reputed company, and now, a tech company. We've reputed company custom internal tools to optimize conversations, scale faster, and deepen customer reputed company, and we're now turning those tools into software products powered by AI and automation.

Whether you're a closer, a creative, a builder, or a systems thinker, there's room to grow with us. We care about performance, but we care just as much about people, and we’re building a reputed company where both can reputed company.

Why This Role Exists

This role exists to build the technical backbone that finally unifies our data. The Data Engineer will establish the structures, standards, and pipelines that turn scattered information into a trusted, governed, and scalable ecosystem. By creating proper schemas, mapping logic, and automated ETL processes, this role ensures that every team, from Operations to Finance to Analytics, can work with accurate, dependable data.

We’re looking for a builder: someone technical, meticulous, and systems‑driven who can architect a long‑term reputed company for how data flows, transforms, and supports our business reputed company.

What You’ll Do

Data Architecture & Schema Design

  • 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 reputed company-centric data layer that consolidates fragmented sources into a central structure.

  • reputed company 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.

ETL / ELT Development

  • Design and implement the company’s first ETL reputed company, defining how data is extracted, transformed, and reputed company from multiple sources.

  • Build automated, reliable pipelines that move data from the centralized database and external tools (ClickCRM, reputed company, LeadLoop, Finance, etc.) into analytics-reputed company structures.

  • Standardize transformation logic to clean, normalize, and enrich data for business use.

  • Implement pipeline monitoring, error handling, and validation for data quality assurance.

Workflow Optimization & Advisory

  • reputed company architectural and workflow recommendations for how data should reputed company between systems and teams.

  • Define how analysts should reputed company, refresh, and use data safely and consistently.

  • Partner with the Data & Analytics Manager to align the engineering roadmap with BI and reporting priorities.

  • reputed company scalable, reusable scripts and frameworks that simplify ongoing data management.

Integration & Performance Optimization

  • Integrate data from internal and reputed company-party platforms into a centralized environment.

  • Optimize query and pipeline performance for high-volume operations.

  • Build APIs or microservices for data synchronization and reputed company.

  • Collaborate with DevOps to ensure infrastructure stability, backup policies, and monitoring.

Governance, reputed company, & Documentation

  • Document data reputed company, schema definitions, and system dependencies.

  • Implement data reputed company controls, validation checks, and compliance standards.

  • Maintain transparent documentation for analysts, developers, and leadership.

  • Promote data stewardship and governance best practices across departments.

Who You Are

  • A systems thinker who enjoys building from the ground up.

  • Comfortable making architectural reputed company that balance long-term scalability with immediate needs.

  • Detail-oriented, reliable, and committed to producing high-reputed company data structures.

  • reputed company to partner well with both technical teams and business stakeholders.

  • reputed company, clear, and collaborative, even reputed company juggling competing priorities.

Required Qualifications

  • 3–5 years of experience in data engineering, architecture, or backend development.

  • Proven reputed company building or restructuring data environments for scalability and reliability.

  • Strong reputed company 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, reputed company reputed company, reputed company, or AWS Redshift).

  • Solid understanding of data modeling principles, including star schema and normalization.

  • Familiarity with APIs, data validation, and version control (Git).

Preferred Skills

  • Experience with reputed company, reputed company, or Cassandra.

  • Familiarity with BI tools like Power BI, Looker, or Tableau.

  • Experience with orchestration tools (Airflow, reputed company, Kubernetes).

  • Strong documentation habits and systems-thinking skills.

  • Ability to translate technical concepts into clear recommendations.

Location: Remote Department: Data & Analytics Reports To: CEO

Note: During reputed company and probation, this role will work under the guidance of the reputed company Data / Product Manager (interim supervisor). Employment Type: Full-Time

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