Lead Data Engineer
Access SystemsInternship
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess 3+ years of managing data engineers and 5+ years of experience working with various orchestration tools, ETL pipelines, and data modeling.
As the Data Engineering Manager, you will own the data-orchestration strategy end-to-end, lead and mentor a team of engineers, research, plan, and institutionalize best practices that boost pipeline performance, reliability, and cost-efficiency, and serve as the team’s technical north star by reviewing PRs, pair programming, and setting engineering standards. You will also report directly to the Director of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques, and hire, onboard, and develop a high-performing team through 1-on-1s, growth plans, and performance reviews.
Data analysis and research services provider
YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.