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Technical Lead Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Lead Data Engineer, hybrid in Newark, NJ, with a contract length of "unknown" and pay rate of "unknown." Key skills include AWS Redshift, SQL, and data pipeline design. Financial industry experience and AWS certification are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
640
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Corp-to-Corp (C2C)
🔒 - Security clearance
Unknown
📍 - Location detailed
Newark, NJ
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Science #Programming #SQL (Structured Query Language) #AWS (Amazon Web Services) #Business Analysis #Python #Code Reviews #Data Quality #Redshift #Database Architecture #Leadership #Documentation #Data Pipeline #Data Modeling #Data Engineering #Scala
Role description
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Technical Lead Data Engineer

Location: Newark, NJ - Hybrid - 3 days a week onsite.

C2C is fine.

About the Role:

We are seeking an experienced Technical Lead Data Engineer to join our dynamic team. You will lead and mentor a talented group of data engineers, architect innovative data solutions, and ensure the highest standards of data quality, performance, and scalability. If you're passionate about leveraging data technology to solve complex challenges in the financial industry, we want to hear from you!

Key Responsibilities:

   • Lead the design, development, and maintenance of data pipelines, ensuring robustness and scalability.

   • Architect and implement data solutions using AWS and Redshift to meet business objectives.

   • Collaborate closely with cross-functional teams, including business analysts, data scientists, and product managers.

   • Mentor and guide team members to enhance their technical capabilities and promote best practices.

   • Conduct code reviews, ensure adherence to technical standards, and maintain comprehensive documentation.

   • Continuously monitor and optimize data systems to maximize performance and reliability.

Required Skills & Qualifications:

   • Extensive experience with AWS technologies, particularly AWS Redshift.

   • Proven expertise in designing and building scalable data pipelines.

   • Solid understanding of database architecture and data modeling principles.

   • Proficient in SQL and familiarity with other programming languages such as Python.

   • Experience with data warehousing concepts and ETL processes.

   • Strong leadership, communication, and collaborative abilities.

Preferred Qualifications:

   • Previous experience in the financial industry is highly desirable.

   • AWS certification (e.g., AWS Solutions Architect, AWS Data Analytics).

If you’re ready to drive data excellence and innovation, apply today!