Description We are looking for a skilled and experienced Senior Data Engineer to join our team in New York, New York. This role is ideal for someone who thrives on working with complex datasets, building scalable data solutions, and collaborating with cross-functional teams. If you have a passion for leveraging data to drive strategic decisions, we encourage you to apply. Responsibilities: Design, implement, and maintain scalable data architectures to support business intelligence and analytics

Job Title: Data Analyst/Engineer Job Location: Jersey City NJ/ Wilmington DE/ Chicago IL/ Plano TX/ Seattle WA/ Palo Alto CA Job Duration: 12+ Months Need candidates within 45 miles of the mentioned locations Job Description: 5+ years working for technology companiesExperience collaborating with a globally distributed teamAbility to adapt to rapidly changing requirements, while handling multiple responsibilitiesAbility to provide high-quality insight to stakeholders to inform business decisions

Role : Data Engineer Location New York City (3 DAYS IN THE OFFICE ARE MANDATORY!)In-Person client interview is MANDATORY - has to be LOCAL in NY ResponsibilitiesRequired daily participation in highly loaded data transformations.Manage timelines/deliverables within the team towards the successful delivery of projects.Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.Develop solutions that are in line with client's tech

job summary: Responsible for developing complex requirements, enhancing, modifying and/or maintaining applications in the Financial Crimes technology to accomplish business goals.Software developers design, code, test, debug, and document programs as well as support activities for the maintaining the application.Work closely with business partners in defining requirements for system applications. location: Jersey City, New Jersey job type: Contract salary: $58.26 - 68.26 per hour work hours:

Job Overview: We seek a highly skilled and motivated Data Engineer with strong expertise in Python, PySpark, AWS, Databricks, and Snowflake to join our dynamic team. The ideal candidate should have hands-on experience with Spark optimization, SQL data processing, and AWS tools and technologies. Exposure to Informatica and data streaming tools is a plus. Key Responsibilities: Design, develop, and optimize scalable data processing pipelines using Spark and PySpark. Implement Spark optimization tec

Responsibilities Big Data - Spark, Hive, Java, CDP, 6 Years + with 3 Years of Dev experience on Big DataAnalyze data requirements and identify disparate data sources required for consolidation and distribution. Document functional specifications and coordinate delivery of the same with technology team. Review logical and conceptual data models in alignment with business requirements. Work with the stakeholders to understand and gather requirements and produce business specifications Validate so

At-a-Glance: Are you ready to build your career by joining an international automotive company? If so, our client is hiring a Lead Data Analytics Engineer.Position Type: Contract On-Site Required: Bachelors or Master s degree in a Relevant Field such as: Data Science, Business Analytics, Information Systems, Computer Science. 6+ years of progressively increasing professional experience in Data Analytics, with at least: 3+ years in a senior level role. 3+ years experience in Amazon Quick Sig

We are seeking a talented Senior Data Engineer to join our dynamic team. This role offers the opportunity to work on innovative data solutions that enhance the experience of real estate professionals and their clients. Responsibilities Design and develop high-performance, scalable data solutions to meet the needs of users. Collaborate with product engineers to understand data pipeline requirements and create innovative solutions. Build and test robust components for a scalable data platform. Wor

Role : Sr. Databricks Data Engineer Location : New York city (Hybrid) Azure Data Engineer with Databricks Expertise Job Summary: We are seeking highly skilled Azure Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions. Key

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development in

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine an

About the Role: Grade Level (for internal use): 09In this role, you'll be at the heart of our data and product innovation, partnering closely with Product, Data Science, and cross-functional teams to build robust, production-ready data pipelines. You'll take machine learning algorithms from raw data ingestion through transformation and seamless integration with our production databases. You'll also collaborate with our broader Data organization to bring valuable external data into our Data Lake

About the Role: Grade Level (for internal use): 09 In this role, you'll be at the heart of our data and product innovation, partnering closely with Product, Data Science, and cross-functional teams to build robust, production-ready data pipelines. You'll take machine learning algorithms from raw data ingestion through transformation and seamless integration with our production databases. You'll also collaborate with our broader Data organization to bring valuable external data into our Data La

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infr

8+ years of experience in data engineering, with a focus on large-scale and high-throughput systems Deep experience working with time series data and purpose-built storage systems (e.g., KDB+, TimeSet, Kronos) Strong experience building streaming and batch data pipelines using tools like Glue, Kafka, Flink, or Spark Proficiency in Python and integrating data pipelines with machine learning workflows and libraries (e.g., pandas, NumPy, scikit-learn, PyTorch) Experience designing efficient, scalab

Need a Senior Data Engineer with 6+ years of extensive experience in Snowflake and Python. MS SQL Server and Oracle database is a plus. The candidate will work on enhancements to the data warehouse and reporting elements of the platform. Strong core PL/SQL knowledge along with a solid understanding of data warehousing design principles is required. Control M knowledge for batch processing is strongly desired. The role would suit a candidate with experience of working within a regulatory reportin

Job Description Bring your Data Engineering skills to the next level and join the AIML Data Platforms Fusion Data Management Team. In this role as a Lead Analytics Data Engineer you will bring your experience with Python / Java / Spark knowledge to help the Securities Services business identify opportunities to improve efficiency, increase revenue, optimize the operating model and risk framework and create value added data driven Products for our Clients. As a Lead Data Engineer at JPMorgan Cha

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we're on a mission to inspire intimate connection to create a less lonely world. We're obsessed with understanding our users' behaviors to help them find love, and our success is defined by one simple metric- setting up great dates. With tens of millions of users across the globe, we've become the most trusted way to find a relationship, for all. About the Role

Location : New York Employment Type : Regular Job Code : A213671 Apply to this job Share this listing: Responsibilities Team Intro USDS Financial Crime Compliance is responsible for overseeing and operationalizing all aspects related to Anti-Money Laundering (AML) and Sanctions Compliance activities related to TikTok USDS's operations. Collaborating cross-functionally with stakeholders across the U.S. and globally, we address complex and cutting-edge challenges, which include the identifi

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 pl