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Data Engineer (NO GC Visa)

Not Disclosed

Job Description & Details

Data engineering is at the heart of modern data-driven businesses, and demand for seasoned engineers continues to surge as companies migrate to cloud architectures. This remote Data Engineer role, offering a C2C arrangement, is perfect for professionals with over a decade of experience looking for flexibility and high‑impact projects. If you thrive on building scalable pipelines and love solving complex data problems, this opportunity is worth your attention.

Job Summary

We are seeking an experienced Data Engineer to design, develop, and maintain robust data pipelines and storage solutions in a fully remote environment. The role focuses on extracting data from diverse sources, transforming it for analytical use, and loading it into cloud‑based warehouses while ensuring performance, reliability, and security.

Top 3 Critical Skills Table

Skill Why it's critical Mastery Level
Data Pipeline Development Enables reliable, scalable movement of data across systems Senior
SQL & NoSQL Databases Foundation for data storage, retrieval, and transformation Senior
Cloud Platforms (AWS/GCP) Provides the infrastructure for modern, elastic data solutions Senior

Interview Preparation

  1. Describe your experience building end‑to‑end ETL pipelines.
    What the interviewer is looking for: Depth of knowledge in pipeline architecture, tooling (e.g., Airflow, DBT), and handling data quality.
  2. How do you optimize SQL queries for large datasets?
    What the interviewer is looking for: Understanding of indexing, partitioning, and query execution plans.
  3. Explain a scenario where you migrated an on‑prem data warehouse to the cloud.
    What the interviewer is looking for: Experience with cloud services, migration strategies, and cost management.
  4. What monitoring and alerting mechanisms do you implement for data pipelines?
    What the interviewer is looking for: Familiarity with observability tools (e.g., CloudWatch, Prometheus) and incident response.
  5. Discuss how you ensure data security and compliance in your pipelines.
    What the interviewer is looking for: Knowledge of encryption, IAM policies, and regulatory standards (e.g., GDPR, HIPAA).

Resume Optimization

  • Data Engineer
  • ETL
  • Apache Airflow
  • Python
  • SQL
  • Big Data
  • AWS
  • GCP
  • Data Modeling
  • C2C

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attach your updated resume, and clearly highlight your top skills and relevant projects. Make sure to mention related skills you possess, such as Data Pipeline Development, Cloud Platforms (AWS/GCP), and SQL/NoSQL expertise, and map them directly to the requirements listed in the job description.

Career Roadmap

Current Role Typical Experience Core Focus Next Position
Data Engineer 10+ years Build & maintain pipelines, optimize data storage Senior Data Engineer
Senior Data Engineer 12-15 years Lead architecture, mentor junior staff Lead Data Engineer
Lead Data Engineer 15+ years Strategy, cross‑team collaboration Director of Data Engineering