Data Engineer at MRI-Simmons Research - New York City, New York Data Engineer - MRI-Simmons Research

Data Engineer

MRI-Simmons Research

Location: New York City, New York, USA

Category: Data Engineering

Salary: 64,000 - 120,000 USD / yearly

Full-time


Job Description

Join MRI-Simmons Research as a Data Engineer to design, implement, and maintain scalable pipelines and architecture to collect, process, and store data from various sources.

Responsibilities

  • Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.
  • Unit test and document solutions that meet product quality standards prior to release to QA.
  • Identify and resolve performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.
  • Implement data quality checks and validations processes to ensure accuracy, completeness and consistency of data delivery.
  • Work with Data Architect and implement best practices for data governance, quality and security.
  • Collaborate with cross-functional teams to identify and address data needs.
  • Ensure technology solutions support the needs of the customer and/or organization.
  • Define and document technical requirements.

Qualifications

  • Strong PL/SQL, SQL development skills
  • Proficient in multiple languages used in data engineering such as Python, Java.
  • Minimum 3-5 years of experience in Data engineering working with Oracle and MS SQL.
  • Experience with data warehousing concepts and technologies including cloud-based services (e.g. Snowflake).
  • Experience with cloud platforms like Azure and knowledge of infrastructure.
  • Experience with data orchestration tools (e.g. Azure Data Factory, DataBricks workflows)
  • Understanding of data privacy regulations and best practices.
  • Experience working with remote teams
  • Experience working on a team with a CI/CD process.
  • Familiarity using tools like Git, Jira.
  • Great problem-solving abilities.
  • Great work ethics.
  • Bachelor's degree in Computer Science or Computer Engineering.

Perks & Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)