Senior Data Engineer Salary at Harry's Inc BETA

Business Overview KINESSO is the technology-driven performance marketing agency that sits at the very heart of IPG Mediabrands, providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countri

About Annalect Annalect is the Data & Technology arm of Omnicom Media Group Annalect's 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter - whether that means fostering consumers' trust in brands, building new experiences, or delivering advanced analytics where it's most needed. Annalect is the driving force behind Omni, Omnicom's unique open operating system, which works hand-in-hand with clients' and partners' data and tools, to orchestrate better marketing outcomes. Annalect's unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients. Team Overview: The Annalect Engineering team is an engaged and innovative group of technologists that in

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is seeking a Senior Data Engineer to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games. The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with other Data Engineers, Machine Learning Engineers, and Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders. This is a full-time, in-office position based out of Rockstar's NYC

Thank you for considering Progyny! Data is the lifeblood of healthcare, and Progyny as a company depends on the accurate, timely, and secure management of data to achieve our company mission at the highest level. This role will be directly responsible for implementing the data foundation for a modern, event-driven platform leveraging best in class components for core data persistence, streaming, transformation, and integrated analytics leveraging machine learning. As data systems are constantly evolving, this role will also be expected to help challenge and mature the existing patterns, practices and toolchains for the Data engineering discipline at Progyny; as such, a successful candidates should be motivated by a desire to help optimize and shape their environment, not simply follow the established status quo. Success in this role is measured by the following: Development of data pipelines that meet or exceed our quality goals Ability to leverage your knowledge of various data patter

Senior Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data wa

Job Description Collaborate on the design of evaluation procedures and perform data analysis for evaluation of Ambulatory Care interventions Participate in the development of study protocols and criteria for evaluation Manage data from the data warehouse and other system resources Assist with the preparation and submission of scholarly products (such as manuscripts, posters, presentations, etc) Assist with ongoing data and analytic needs for special-initiative (e.g. NYC Care) research Assist with other Innovation Lab directives as needed Skills Required Biostatistics (including descriptive, bivariate, and multivariate analyses) Study design (including observational and interventional studies) Literature review Scientific/scholarly writing At least one statistical software (Stata, SAS, R, Python, etc.) SQL Microsoft Excel Education/Training/Certifications A minimum of a bachelor’s degree is required. Master’s or Doctoral degree or equivalent work experience preferred. Preferred degrees:

Job Description Responsibilities and duties: Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business. Design and implement large-scale, data structures that support analytics and data science needs, optimizing for speed, scalability, and reliability. Create seamless data ingestion processes (both real-time and batch) using modern ETL/ELT practices, leveraging cloud technologies and big data tools to ensure smooth data flow. Collaborate with business teams to understand needs, and translate them into flexible, scalable data solutions that grow with the company. Work alongside engineers to establish best practices for data system creation, ensuring data quality, integrity, and proper documentation throughout. Continuously improve reporting and analysis by automating processes, streamlining workflows and empowering teams with self-service data tools for easy access to insights. Partner with senior leadership to stay align

Garner's mission is to transform the healthcare economy, delivering high quality and affordable care for all. By helping employers restructure their healthcare benefit to provide clear incentives and data-driven insights, we direct employees to higher quality and lower cost healthcare providers. The result is that patients get better health outcomes while doctors are rewarded for practicing well, not performing more procedures. We are backed by top-tier venture capital firms, are growing rapidly and looking to expand our team. We are looking for a Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python in AWS. This position is on-site in NYC. Main Responsibilities: Build, optimize, and maintain data pipelines that power our business Define and build out abstracted reus