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Job Description & How to Apply Below
Technical Lead - Data Engineer
Join the Tech Core of a Fortune 100 Giant!
Be part of a ~$70 billion innovator where your work drives real business impact. Our client's Technology team puts customers at the heart of everything — and so do we when it comes to our people. If you're passionate about cutting-edge technology and making a difference at scale, this is where you belong.
Additional Qualifications:
AWS | Snowflake | Data Platform Engineering
This role strengthens Nationwide’s enterprise data engineering capabilities by providing hands-on technical leadership. The position is responsible for designing, building, and supporting scalable, secure, and production-ready data solutions that enable analytics, operational reporting, and emerging AI initiatives.
The Consultant, Data Engineer | Technical Lead will partner closely with product, architecture, infrastructure, governance, and run teams to deliver modern cloud-native data products while driving engineering standards, operational reliability, and Data Ops best practices.
Key Responsibilities
Lead the design, development, and support of scalable batch and streaming data pipelines and lakehouse solutions.
Provide hands-on expertise with AWS, Snowflake, Delta Lake, and related cloud data technologies.
Establish and enforce standards for coding, CI/CD, Infrastructure as Code, testing, monitoring, and observability.
Support production operations, incident resolution, and platform reliability initiatives.
Partner with cross-functional teams to deliver secure, cost-effective, and high-quality data solutions.
Mentor engineers through technical guidance, design reviews, troubleshooting, and best practices.
Preferred Qualifications
Strong experience delivering enterprise-scale cloud data engineering solutions in production environments.
Deep hands-on experience with AWS, Snowflake, Python, and modern data platform technologies.
Experience implementing Data Ops, CI/CD, and automated testing practices.
Exposure to Investments data, including portfolios, securities, market data, or performance reporting, is a plus.
Experience with Aladdin Studio is a plus
Experience working within large, highly governed enterprise environments preferred.
Job Description Summary
Our Client’s industry leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Our Client embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions.
If you have the drive and desire to be part of a future forward data enabled culture, we want to hear from you.
As a Data Engineer you’ll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready-to-use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology. Ready-to-use data can be for both real time and batch data processes and may include unstructured data.
Successful data engineers have the skills typically required for the full lifecycle software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks. You’ll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages.
Job Description
Key Responsibilities:
Consults on complex data product projects by analyzing moderate to complex end to end data product requirements and existing business processes to lead in the design, development and implementation of data products.
Responsible for producing data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration.
Translates business data stories into a technical story breakdown…
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