Data Engineering Platform

4 weeks ago

Cincinnati OH, United States Gearsupply Full time

Ignite your passion for AV gear--join our Engineering team (Do you thrive in a fast-paced environment and get a kick out of building relationships and exceeding targets? We're a passionate team of Geargurus building a thriving marketplace that connects professionals with the gear they need to bring their creative visions to life.

Key ResponsibilitiesData Pipeline Development: Design, build, and maintain efficient data pipelines to collect, process, and analyze large datasets.
Data Collection Automation: Develop tools to extract, transform, and load (ETL) key data points from a number of internal and external resources.
Database Management: Design and manage extensive databases using MongoDB, PostgreSQL, SQL & more ensuring optimal performance and scalability.
Data Modeling: Create and maintain data models to support analytical and reporting requirements.
Develop comprehensive reports and dashboards to visualize data insights and support decision-making processes.
Apply statistical methods to analyze data and provide actionable insights.
Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver effective solutions.
Financial Modeling (Plus): Utilize financial modeling techniques to support the development and enhancement of financial products and services.


Skills, Knowledge and ExpertiseEducation: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a significant senior experience in a related field.


Experience:3+ years of experience as a Data Engineer or in a similar role.
Proven experience in building and maintaining data pipelines.
Proficiency in modern database tools and infrastructures.
Strong knowledge of data modeling and reporting tools.
Solid background in statistics and data analysis.
Experience with financial models and modeling is a plus.




Advanced programming skills in Python, Node.js, or similar languages.
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is desirable.
Experience using LLMs for data cleaning, analysis, merging, and more.
Experience building APIs




Comprehensive benefits package, including health, dental, and vision insurance (available day one), and paid time off.

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