Data Engineer Salary at Fintellix BETA

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

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

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

Our roster has an opening with your name on it! FanDuel Sports Network's mission is to build a transformative, participatory sports platform, anchored by the most exclusive and relevant live professional games, that provides fans a year-round opportunity to engage with content and communities they are most passionate about. The Position: FanDuel Sports Network is looking for an experienced Data Engineer to join the Technology team. Reporting to the SVP, Data and Analytics, this role will build data platforms and infrastructure to drive data-driven decision making. Responsibilities for this role includes building new data platforms, optimizing existing data platforms improve existing tools to deliver data, develop ETL processes, ensure data quality and accuracy and collaborate with data scientists and analysts across the organization. This role will enable the company and its partners to make more informed decisions quicker and more efficiently. The ideal candidate for this role has a s

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

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Duties: Proven experience as a Data Engineer, with a strong focus on Azure Synapse Analytics. Proficiency in Python for data manipulation, scripting, and automation. Expertise in Azure services, including Azure Data Factory, Azure SQL Database, and Azure Storage. Hands-on experience with Azure AI Document Intelligence for document processing and data extraction. Create, manage, and optimize ETL processes to ensure efficient dat