Data Engineer Salary at Cinch BETA

Title: Data Engineer Location: New York, New York OR Seattle, WA Duration: 6 months, can extend Compensation: $50-55/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Skillset / Experience: The Data Engineer will join a central infrastructure team to support the build out and integration of new global data pipelines. You will take ownership of key ETL deliverables and drive their completion from end to end. You will be working with very large data sets, well beyond the scalability limits of conventional relational databases. We're looking for people who innovate, love solving hard problems, and never take "no" for an answer. You will have the opportunity to research and work with cutting edge technologies, as well as expand into new projects. A successful candidate will have the following experience: 3+ years of data engineering experience 3+ years of experience with AWS , including services such as S3, AWS Glue, Lambda, EMR, Kinesis, FireHose Strong script

About the company At Covera, we're committed to ensuring high-quality healthcare is more than just a promise. That's why we're leading the way in the emerging science of quality, and connecting providers and payers in their shared quest to improve patient outcomes and care quality. By tackling this challenge, we have the ability to impact millions of lives by raising the standard of care nationwide. Our initial focus is radiology, where an early and accurate diagnosis has a profound impact on the rest of a patient's care journey. Through our work, which uses clinically-validated science-based tools, we're helping doctors enhance their care, ensuring patients get the right diagnosis, and enabling the healthcare system to support quality improvement at scale. Through our clinical intelligence platform, we have launched programs that help people access the most effective care and provide doctors with AI-powered quality insights and tools to enhance their care. Today, Covera is partnered w

Job Description Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining themeaning of work, and be a part of the team raved by Clients, Job-seekers and Employees. Jobseeker Video Testimonials Employee Glassdoor Reviews If you are a Data Engineer Position looking for excitement, challenge and stability in your work, then you would be glad to come across this page. We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details. Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution. Requirements Role:Data Engineer Location: Weehawken, NJ Exp:8+ Years Requirements We are seeking an experienced SQL & Python Data Engineer with a strong background in SQL development, performance tuning, and Python programmin

Our client, a real estate and asset-based lender, is looking to hire a full-time Analytics Engineer to work onsite out of their Midtown Manhattan location. This is a dynamic team focusing on optimizing the firm's asset management operations and business intelligence (BI) capabilities. This role combines technical data engineering expertise with analytical science skills to drive data-informed decision-making across their portfolio. Responsibilities: Build automated reporting systems and interactive dashboards for portfolio monitoring, including custom analyses for executive leadership, asset management, and origination Implement machine learning (AI) models for asset valuation, market analysis, and investment opportunity screening Build and optimize Snowflake databases and queries to support real-time business intelligence needs Design and implement quality assurance processes for data extraction, transformation, and analysis workflows Design and maintain scalable data pipelines in Nex

At Guac, we're on a mission to solve grocery food waste with predictive ML. We forecast exactly how much of each product will sell, to put an end to the millions of tons of food that goes to waste every single day due to bad inventory replenishment. We're currently working with major supermarket chains in the US (you've probably shopped at some of them before), and we're backed by Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Instacart and Citadel Securities. We're seeking a talented Data Engineer to join our team in-person in New York to help shape the future of grocery! About the Role As a Data Engineer at Guac, you'll have ownership over building and maintaining our ETL infrastructure and pipelines, as well as optimizing ML systems for forecasting grocery demand. You’ll also work directly with our customers to ensure successful technical integrations. Around 80% of your time will be spent on engineering: Designing and implementing scalable data pipelines for proce

Project description Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments. Client attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to: • Diverse and inspiring colleagues and approachable leaders • Stimulating work in a fast-paced, intellectually challenging environment • Accelerated exposure and responsibility • Global career development opportunities • Being motivated every day by important social purpose and unshakable principles • A deeply rooted culture of Integrity, Partnership and High Performance If you share a passion for performance, value a collegial and collabora

MORE ABOUT THIS JOB: The Client Data Engineering team manages a Data Engineering departmental initiative, executed by Goldman Sachs' Data Intelligence Office (DIO), to curate client data connected through division client data models, and make the data retrievable via API and the Firmwide Reporting Group (FRG). YOUR IMPACT Curate, design and catalogue high quality data models to ensure that data is accessible and reliable Build highly scalable data processing frameworks for use across a wide range of datasets and applications Provide data-driven insight and decision-making critical to GSs business processes, in order to expose data in a scalable and effective manner Understanding existing and potential data sets in both an engineering and business context RESPONSIBILITIES AND QUALIFICATIONS: HOW WILL YOU FULFILL YOUR POTENTIAL Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further effic

Data Engineer Remote Tri state are Top Skills: Strong SQL Python Snowflake Azure Products Position Summary The Data Engineer is responsible for integrating and modeling data in modern data stack to support analysts, business intelligence users, data scientists, and decision-makers across the company. The Data Engineer must have a deep understanding of Structured Query Language (SQL) and be familiar with Snowflake, dbt (data build tool), and git version control. In this role, the Data Engineer collaborates with stakeholders across the company to understand and address their needs. The Data Engineer must enjoy working with others and be comfortable expressing ideas in a public setting. The Data Engineer reports to the Manager of IT Data Engineering. Essential Responsibilities Work with business stakeholders to understand problems and data sources, playing the pivotal role of architecting data models to address Crewmember needs Gather requirements, build roadmaps, and write great document