Top Hybrid Data Engineer Jobs
As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.
Looking for an experienced Senior Manager, Data Engineering to lead core data integration teams in developing, maintaining, and operating services that connect to healthcare data networks. Responsible for setting clear goals, guiding strategic direction, improving engineering practices, and providing hands-on technical guidance. Must have experience in dynamic environments and a strong technical proficiency in data integration technologies.
The Lead Data Engineer at Hanna Andersson is responsible for designing, developing, and managing data warehouses, ETL processes, and data pipelines to drive reporting and business intelligence initiatives. They oversee the data engineering team, collaborate with technical teams and stakeholders, and ensure world-class standards of data integrity and system performance.
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As a Lead Data Scientist, you'll oversee project execution, collaborate with teams, and design complex machine learning models. You will ensure the delivery of scalable data science solutions and mentor the team while aligning initiatives with business goals.
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The Sr. Software Engineer for Machine Learning at Tinder will develop algorithms and recommendation systems that enhance user matches and optimize business metrics. This role involves high-impact contributions in a collaborative, innovative engineering environment.
As a Senior Software Engineer at Mashgin, you will leverage your expertise in machine learning and computer vision to design and implement deep learning algorithms. You will focus on solving real-world problems, develop innovative data collection methods, and transition research into production-ready solutions collaboratively with a small team.
The Senior Data Observability Engineer will lead the observability initiatives at Cherre, enhancing data observability capabilities and ensuring data health and performance for clients. Responsibilities include developing observability frameworks, mentoring teams, creating metrics and dashboards, investigating data incidents, assessing client data needs, and adopting new technologies.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
Q2 is seeking a SQL Database Administrator to manage and troubleshoot SQL databases. Responsibilities include monitoring, maintenance, performance tuning, assisting with customer implementations, and providing on-call support. The role entails working with Database Engineers, contributing to capacity management, and ensuring adherence to security policies.
Passionate and experienced data engineer needed to design, build, and maintain core data infrastructure at Aircall. Responsible for enhancing data stack, implementing best practices for data management and security, and leading the data engineering efforts to support company metrics and goals. Must mentor junior team members and collaborate with cross-functional teams to drive efficiencies in data processing and storage.
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