Data Engineer

EdgeQ Technologies • Bachelor's Degree • Python • SQL • ETL/ELT • 20 days ago
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Salary
$127k – $181k per year
Location
In office (New York)
Seniority
Junior · 2+ years exp
Employment
Full-Time

First seen by Alion on Oct 1, 2026.

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EdgeQ Technologies

Founded in 2026, EdgeQ Technologies is a software development, staffing, and business services provider headquartered in Anantapur, Andhra Pradesh, India. The company delivers an integrated suite of technology and workforce solutions for startups and enterprises across domestic and international markets. Its core offerings span custom web and mobile application engineering, digital marketing, and business software products - including applicant tracking systems (ATS), custom CRMs, payroll, and billing platforms - alongside IT and non-IT recruitment, talent placement, and business process outsourcing (BPO) operations.
edgeqtechnologies.com • HQ: Anantapuram, India • 501-1000 employees • Est. 2026
Tech stack of EdgeQ Technologies

Job Title: Data Engineer

Experience: 2-7 Years

Job Type: Full-Time

Salary: $127K-$181K/year

Location: New York, NY

  • Seattle, WA
  • San Francisco, CA
  • Austin, TX

Role Overview

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong experience with Python, SQL, big data technologies, and modern cloud data platforms.

Key Skills

  • Python & SQL

  • Apache Spark

  • Databricks

  • Snowflake

  • AWS

  • ETL/ELT Pipelines

  • Data Warehousing & Data Modeling

  • Big Data Processing

  • Cloud Data Engineering

Responsibilities

  • Develop and maintain scalable data pipelines and ETL/ELT workflows.

  • Process and transform large datasets using Spark and Databricks.

  • Build and optimize data solutions using Snowflake and AWS.

  • Design efficient data models and data warehouses.

  • Ensure data quality, reliability, security, and performance.

  • Collaborate with Data Scientists, Analysts, and Software Engineers.

  • Monitor and optimize data pipelines and cloud infrastructure.

Requirements

  • 2-7 years of professional Data Engineering experience.

  • Strong proficiency in Python and SQL.

  • Hands-on experience with Spark and Databricks.

  • Experience with Snowflake and AWS data services.

  • Understanding of ETL/ELT, data modeling, and data warehousing.

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Apply Now - Build Scalable Data Solutions with Modern Cloud Technologies.

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