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Data Engineer

FyerX
Remote, USA
Full-time
Mid · 3+ years experience
Remote
Discovered 2 days ago
SQLPythonScalaAWSGCPAzure
Free

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Compulsory Requirement

  • Minimum 3 Years Experience as a Data Engineer with a strong portfolio showcasing scalable ETL/ELT pipelines, robust data integration, and cloud-based data architecture.
  • Payment Structure: Full-time salary – The Data Engineer will be compensated with a competitive fixed salary aligned with industry standards and experience level for work completed on both FyerX's internal technology infrastructure and external client platforms.
  • Work Arrangement: Remote
  • Advantage: Prior experience working with tech firms, marketing agencies, enterprise platform integrations (e.g., Salesforce, ServiceNow), or building automated pipelines using n8n and AI API endpoints .
  • Company Website: https://fyerx.com

Responsibilities

  • Architect, build, and maintain highly scalable ETL/ELT data pipelines and infrastructure for FyerX's internal operations and diverse client tech transformations.
  • Develop automated workflows (using tools like n8n, webhooks, and REST APIs) to securely extract, normalize, and merge cross-platform metrics from tools like Google, Meta, GA4, and various CRMs .
  • Manage and optimize relational databases and cloud data warehouses (e. g., PostgreSQL, Snowflake, BigQuery) to ensure low-latency data access for downstream AI scripts, dashboards, and reporting tools.
  • Collaborate closely with AI specialists, backend engineers, and marketing teams to ensure clean, structured data payloads are correctly routed to large language models, agentic workflows, and automated alerting systems .
  • Implement robust data quality checks, automated deduplication processes, and comprehensive monitoring to proactively flag anomalies, prevent budget waste, and maintain total data integrity .

Requirements

  • 3+ years of professional data engineering experience with a proven track record of designing, building, and deploying automated, production-grade data pipelines.
  • Advanced proficiency in SQL and programming languages such as Python or Scala, alongside a deep understanding of data modeling, schema design, and query optimization.
  • Solid hands-on experience with modern data stack tools, cloud infrastructure (AWS, GCP, Azure), data warehousing (BigQuery, Snowflake, Redshift), and orchestration platforms (Airflow, n8n).
  • Proven expertise in integrating complex enterprise APIs, handling JSON/XML payloads, and securely synchronizing databases with external marketing networks and CRM platforms.
  • Strategic problem-solving skills with an uncompromising focus on data governance, security compliance, and writing clean, scalable, and well-documented infrastructure code.
  • Strong organizational, time-tracking, and project management skills; ability to handle multiple data integration projects simultaneously, meet tight deadlines, and coordinate effectively with remote tech teams.
  • If you have the desired skills and are excited about building powerful data infrastructures for FyerX and our diverse client brands as a full-time Data Engineer, we encourage you to apply for this position.

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