Data Engineer (Entry-Level)

exert infotech llc β€’ United State
Remote Visa Sponsorship
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AI Summary

Join our growing team as a Data Engineer (Entry-Level) to design, build, and maintain scalable data pipelines. Collaborate with data analysts and business teams to ensure data quality, governance, and performance optimization. Strong knowledge of SQL, Python, and cloud platforms is required.

Key Highlights
Design, build, and maintain scalable data pipelines
Collaborate with data analysts and business teams
Ensure data quality, governance, and performance optimization
Key Responsibilities
Design, build, and maintain scalable data pipelines
Work with large datasets using SQL, Python, or Spark
Support ETL/ELT processes and data integration
Collaborate with data analysts and business teams
Ensure data quality, governance, and performance optimization
Technical Skills Required
SQL Python AWS Azure GCP Apache Spark Hadoop Snowflake
Benefits & Perks
Visa Sponsorship Available
Full-time Job Type
OPT / CPT / STEM OPT / GC/ US Citizen
Nice to Have
Internship/project experience in data engineering or analytics
Knowledge of Airflow, Kafka, or DBT
Experience with real-time data processing

Job Description


πŸ“’ Hiring: Data Engineer (Entry-Level) – USA πŸ‡ΊπŸ‡Έ

πŸŽ“ Open to Dec 2025 & May Graduates | Visa Sponsorship Available

We are actively looking for motivated and detail-oriented Data Engineer graduates to join our growing team in the United States. If you are passionate about data, cloud technologies, and building scalable pipelines β€” this is a great opportunity to kickstart your career.

πŸ”Ή Role: Data Engineer (Entry-Level)

πŸ“ Location: United States (Onsite / Hybrid / Remote options available)

πŸŽ“ Eligibility: Graduating in Dec 2025 or May 2026

πŸ’Ό Job Type: Full-time

🌍 Work Authorization: OPT / CPT / STEM OPT / GC/ US Citizen

πŸ”§ Key Responsibilities:

  • Design, build, and maintain scalable data pipelines
  • Work with large datasets using SQL, Python, or Spark
  • Support ETL/ELT processes and data integration
  • Collaborate with data analysts and business teams
  • Ensure data quality, governance, and performance optimization

πŸ› οΈ Required Skills:

  • Strong knowledge of SQL & Python
  • Understanding of Data Structures & Algorithms
  • Familiarity with cloud platforms (AWS / Azure / GCP)
  • Exposure to tools like Apache Spark, Hadoop, Snowflake
  • Basic understanding of data warehousing concepts

⭐ Preferred Qualifications:

  • Internship/project experience in data engineering or analytics
  • Knowledge of Airflow, Kafka, or DBT
  • Experience with real-time data processing


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