Data Engineer Technical PM

Quantum Technologies LLC; Newark (NJ); On-site; USD 100,000 - 140,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Data Engineer II to design and operate data pipelines and reporting solutions within the Verisk Claims Solutions division. You will build scalable ETL/ELT processes, model data for BI, and apply CI/CD practices to ensure reliability and security.

The role involves collaboration with product owners and cross‑functional teams. The ideal candidate has 2+ years of experience with cloud data pipelines, data warehousing, and Python scripting, and a solid

Qualifications

• BS/MS in CS/IT or related field.
• 2+ years designing and developing cloud data pipelines (ETL/ELT).
• 2+ years of Data Warehousing experience.
• Proficient in writing SQL for data pipelines.

Responsibilities

• Design and develop cloud data pipelines (ETL/ELT) to support data products and reporting.
• Implement data models that support BI and analytics.
• Collaborate with product owners and data consumers; participate in design/code reviews.
• Apply DevOps/CI/CD practices and IaC to keep systems secure, observable, and repeatable.

Skills

SQL

Python

Data modeling

ETL/ELT

APIs/REST

DevOps/CI-CD

Git

Data warehousing

Security/compliance

Cloud concepts

Documentation

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Snowflake

SqlDBM

Cloud services

Container/orchestration

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

The Data Engineer II is a junior-to-mid level position that will provide data pipeline, orchestration, and platform operations expertise to guide the development, deployment, and reliable operation of data products and reporting solutions within the Verisk Claims Solutions division. The successful candidate has experience developing data pipelines using cloud services, designing data structures that support data products and reporting systems, and applying DevOps/CI-CD practices to keep those systems secure, observable, and repeatable to operate. In this hands‑on role, he/she will be responsible for collaborating with product owners, tackling technical problems, helping define best practices, and contributing in design/code reviews. In addition, the candidate will help create innovative solutions to satisfy the growing needs of internal and external customers.

• BS or MS degree in Computer Science, Information Technology, or related field.
• 2+ years of experience designing and developing cloud data pipelines (ETL/ELT solutions).
• 2+ years of Data Warehousing experience.
• Proficient in writing SQL for aggregating and transforming data as part of a data pipeline.
• Experience using Python for automating processes, working with APIs, and/or transforming data.
• Working knowledge of dimensional/data modeling methods used to support business intelligence tools.
• Experience building data pipelines using a variety of data sources (RDBMs, NoSQL, REST APIs, message queues, and files).
• Experience working with a cloud data warehouse platform (e.g., Snowflake or equivalent).
• Experience with cloud serverless/container technologies (e.g., functions-as-a-service, managed batch compute, container orchestration) and workflow orchestration frameworks.
• Working knowledge of DevOps fundamentals and CI/CD practices (build/release pipelines, infrastructure-as-code, automated deployments).
• Experience with access management, security, and governance/audit operations on a data platform.
• A curious, inquisitive mindset with the ability to learn new technologies quickly and troubleshoot through ambiguous issues.
• Working knowledge of development standards/best practices with the ability to follow established design patterns.
• Proficiency with version control systems (GIT)
• Proficiency with database modeling tools (SqlDBM, etc.)
• Experience with REST APIs, API gateways, or other web application/integration technologies is a plus.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.