Top Remote Senior Level Data Engineer Jobs in Rochester, NY

The Senior Data Reporting and Development Consultant will implement data solutions for clients, focusing on business reporting needs using Power BI and SSRS. This role requires scoping, designing, and delivering reports while interacting with C Suite clients and using various cloud and on-prem solutions.

Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.

Lead a team of data engineers to develop and implement high-quality data solutions and architectures, while driving a data-driven culture within the organization. Collaborate with cross-functional stakeholders, build data pipelines and products, and manage the development of a world-class data lake, ensuring compliance with healthcare industry standards.

The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.

The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.