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Data Engineer

EdgeQ Technologies Private Limited New York, New York, United States · $85K–$160K/yr

Oct 28
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

The Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines and data infrastructure. They will also collaborate with cross-functional teams to optimize data processing performance and ensure data reliability.

What they look for

SQL Python ETL/ELT Data warehousing Data modeling AWS Microsoft Azure Google Cloud Platform Snowflake Amazon Redshift Google BigQuery Apache Spark Kafka Git Data validation Pipeline monitoring

Requirements

Candidates must have 2–8 years of experience with strong proficiency in SQL, Python, and cloud-based data engineering solutions. A bachelor's degree in a related field is preferred, along with experience in data modeling and workflow orchestration.

Benefits

Competitive salary Performance-based incentives Health insurance Dental insurance Vision insurance Paid time off Company holidays Professional development Certification opportunities

Full description

Data Engineer

Job Title: Data Engineer Job Locations: Austin, TX; Dallas, TX; Seattle, WA; New York, NY; San Francisco, CA Job Type: Full-Time Experience Required: 2–8 Years Work Mode: Remote / Hybrid / On-site, depending on employer Estimated Annual Salary: $85,000–$160,000

Job Overview

We are seeking a skilled Data Engineer with 2–8 years of experience to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong programming skills and experience with cloud platforms, ETL/ELT processes, data warehousing, and large-scale data processing.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines.
  • Extract, transform, and integrate data from multiple sources.
  • Build and optimize data warehouses, data lakes, and data models.
  • Develop efficient SQL queries and Python-based data processing scripts.
  • Work with AWS, Microsoft Azure, or Google Cloud Platform.
  • Implement data validation, quality checks, and pipeline monitoring.
  • Collaborate with data scientists, analysts, and software engineering teams.
  • Optimize data processing performance, storage, and costs.
  • Troubleshoot pipeline failures and ensure data reliability.
  • Maintain technical documentation and follow data governance standards.

Required Skills

  • Strong proficiency in SQL and Python.
  • Experience with ETL/ELT development and data integration.
  • Knowledge of relational databases and data modeling.
  • Experience with Snowflake, Amazon Redshift, or Google BigQuery.
  • Familiarity with Apache Spark, Kafka, or similar technologies.
  • Understanding of cloud-based data engineering solutions.
  • Experience with Git, testing, and workflow orchestration tools.
  • Strong analytical and problem-solving abilities.

Experience & Estimated Annual Salary

ExperienceEstimated Annual Salary2–3 Years$85,000–$105,0003–5 Years$100,000–$130,0005–8 Years$125,000–$160,000

Salary estimates vary by location, employer, industry, and technical expertise.

Educational Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field preferred.
  • Equivalent professional experience and relevant technical certifications may be considered.

Preferred Qualifications

  • Experience with AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
  • Familiarity with Apache Airflow, Databricks, or Delta Lake.
  • Knowledge of Docker, CI/CD pipelines, and automated testing.
  • Understanding of data security, privacy, and governance practices.

Benefits

  • Competitive salary and performance-based incentives.
  • Health, dental, and vision insurance, where offered.
  • Paid time off and company holidays.
  • Professional development and certification opportunities.
  • Opportunities to work with modern cloud and data technologies.

How to Apply

Interested candidates can submit their updated resume, highlighting relevant data engineering experience, technical skills, certifications, and project work.

Equal Opportunity Statement: We welcome qualified applicants from diverse backgrounds. Candidates must meet the applicable US work authorization requirements for the position.

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