Senior Data Engineer Salary at L&T-Nxt BETA

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

About Client: The client is a global consulting, technology, and digital firm specializing in the financial services industry. Established in 2001, the company provides innovative solutions to help clients navigate digital transformation, enhance operational efficiency, and achieve strategic objectives. With a focus on banking, capital markets, and insurance, it leverages cutting-edge technologies such as blockchain, artificial intelligence, and data science to deliver customized IT solutions and business consulting services. The company's commitment to innovation, combined with its industry expertise, positions it as a leader in driving technological advancements and helping financial institutions stay competitive in a rapidly evolving market. Salary Range: $140K-$150K/Annum Job Description: Responsibilities: Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity. Design, develop, and de

Job Title: Senior Snowflake Data Engineer Location: Bridgewater, NJ (Hybrid) Type: Long-Term Contract Job Description: We are seeking a highly skilled Senior Data Engineer with expertise in Snowflake and data pipeline development for a long-term contract opportunity based in Bridgewater, NJ. The ideal candidate will have a proven track record of building and maintaining scalable data pipelines, leveraging Snowflake as the primary data warehouse, and delivering high-quality data solutions that enable business intelligence, analytics, and data-driven decision-making. Key Responsibilities: Design, develop, and maintain robust, scalable, and high-performance data pipelines using Snowflake. Implement best practices for data modeling and data pipeline optimization in Snowflake. Build and manage data integration processes to ingest data from multiple sources in to Snowflake. Collaborate with cross-functional teams to gather data requirements and deliver data solutions that meet business needs

About Mesa Mesa is on a mission to make homeownership more affordable and rewarding. They are building the homeowner membership category by rewarding consumers on all aspects of their homeownership spend. Mesa is led by a world-class team of repeat founders and fintech operators from Uber, Cash App, Square, Robinhood, BILT, and Spotify and backed by some of the best investors in the world. Read more about us: Techcrunch Article About the role We're looking to bring on our first Senior Data Engineer to lead the buildout and on-going development of the data function here at Mesa. You'll play a critical role in establishing best practices, architecting new solutions, and implementing tooling to empower everyone within Mesa to make data driven decisions. Reporting to the Head of Engineering, you'll work with cross-functional stakeholders to standardize metrics for usage across reporting, experimentation and ad-hoc analysis. This position will require a strategic and technical leader with e

Who We Are Float is the leading resource management software for professional services teams. Since 2012, we've grown every year-independently, self-funded, and profitably. We're rated #1 for resource management on G2 and trusted by 4,500+ customers worldwide. As a certified B Corporation, we're committed to making a positive impact on our team, customers, the environment, and the remote community. Our 50+ person team works 100% remotely across the globe, with perks and benefits designed to support us in living our Best Work Life. You'll collaborate with teammates across Australia, Mexico, the UK, Nigeria, Canada, and the US. Learn more about our data security practices for employment or service contracts here. Browse our blog to get a glimpse of life at Float and check out our Glassdoor employer reviews. See why our customers love Float on G2 . We're on a scale-up journey, and we're seeking people who thrive in this stage. We want Float to be the place where you have the autonomy and

Job Title Senior Data Engineer Duration 1 3 Weeks Payment Weekly Orientation hours Orientation Pay Regular pay $ 70 /hr on w2 Time off Request Facility Central Office Location 50 Water Street, 5th floor, Central office, New York, NY 10004 Shift Days 8hr (9am to 5pm) Job Details 2 years related work experience required. Skills Senior Data Engineer: 2 years (Required) Data Engineer: 2 years (Required) Data analytics: 2 years (Required) Data science: 2 years (Required) Education Bachelor's (Required) Key Responsibilities: 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 Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of th

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

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: