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Data Engineer – Intermediate


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 8 September 2026 (12 hours ago)
Application Deadline: 6 December 2026
Vacancies: 1 Vacancy

Job Summary


Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Engineer Intermediate
Location: Manhattan West NY Onsite


Job Description:

We are seeking a skilled Data Engineer to design build and manage scalable ETL pipelines supporting a centralized data lake and Snowflake data warehouse. The role focuses on automating data ingestion transformation and aggregation workflows to enable reliable analytics and data-driven decision-making.

Key Responsibilities
  • Design develop and maintain robust ETL pipelines for ingesting data into the enterprise data lake and Snowflake environment.
  • Automate data processing aggregation and analytical workflows to improve data availability and performance.
  • Implement and manage orchestration and scheduling of data pipelines using ControlM and Apache Airflow.
  • Develop scalable data transformation logic using PySpark and Apache Spark (Java).
  • Work with large structured and semi-structured datasets on AWS infrastructure.
  • Ensure data quality integrity and reliability across data pipelines.
  • Optimize data pipelines for performance cost and scalability.
  • Collaborate with analytics data science and business teams to understand data requirements.
  • Monitor troubleshoot and resolve pipeline failures and performance bottlenecks.
  • Follow best practices for data engineering security and documentation.
Required Skills & Qualifications
  • Strong experience with data lake architectures and large-scale data processing.
  • Hands-on experience with AWS services (e.g. S3 EC2 EMR Glue or related).
  • Proven expertise in building ETL pipelines for analytics and reporting use cases.
  • Solid working knowledge of Snowflake including data loading transformations and performance optimization.
  • Experience with workflow automation and scheduling tools such as ControlM and Apache Airflow.
  • Proficiency in PySpark for distributed data processing.
  • Strong programming experience with Apache Spark using Java.
  • Good understanding of data modeling partitioning and performance tuning concepts.
Preferred Qualifications (Nice to Have)
  • Exposure to CI/CD practices for data pipelines.
  • Experience working in Agile or DevOps environments.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.


Required Experience:

IC