Senior Data Engineer

Role: Data Engineer
Location: Charlotte, NC/ Boston, Qunicy, MA/ Atlanta, GA/ OWING MILLS MD/ Blue Bell, PA/ Jacksonville, FL/ Seattle, WA/ Eden Prairie, MN/ Detroit, MI/ Irvine, Sunnyvale, CA/ Irving, TX/ Jersey City, NJ

Term: Full Time

Job Description

Must Have Technical/Functional Skills

• Data engineer experience, SQL, AWS, Python
• Data Engineering practices, combined with hands-on exposure to Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, and AI-driven data pipelines.

Roles & Responsibilities

Basic Qualifications

• 6+ years of data engineering experience
• 3+ year of experience working in a data engineering, data science, or software engineering capacity
• Expertise in writing and maintaining robust data pipelines in SQL and Python
• A track record of turning data requirements from stakeholders into actionable plans
• Experience with cloud-native solutions
• A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability

Preferred Qualifications

• Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
• Experience with a scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• 5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
• Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
• Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
• Strong skills in Python, Java, or Scala.
• Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.