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

Y Combinator-backed Bio-Tech company is looking for a Senior Data Engineer to join their growing team! This Jobot Job is hosted by: Sydney Weaver Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: A rapidly scaling, Y Combinator-backed company is searching for a Senior Data Engineer to play a pivotal role in optimizing ETL pipelines, scaling data architecture, and mentoring junior engineers.. Their

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:

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

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

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): 10About the Role: Title: Senior Data Engineer - Big Data The Team: You will be an expert contributor and part of the Rating Organization's Ingestion Pipelines Engineering Team. This team, who has a broad and expert knowledge on Ratings organization's critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership

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

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

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

About the Role: Grade Level (for internal use): 11 About the Role: The Team: The Data Lake team is responsible for data ingestion from internal source systems in batch/real-time modes, curation and governance of the data assets created in the platform. The team also works towards adopting the new features of the Databricks product and optimizing the operational aspects of the platform to enhance the user community experience. The team has a broad and expert knowledge on Ratings organization's c

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

New York City, NY Dallas, TX Salt Lake City, UT 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,

MuleSoft Experience: Development and maintenance of MuleSoft Integration components. Following experience with MuleSoft is required: o Overall 7+ years of industry experience in Java and integration background & MuleSoft. o Hands on experience in working in Mule 3 to 4 migration projects o Hands-on experience in building complex integrations using MuleSoft Anypoint platform o Deep expertise in API-Led Connectivity using MuleSoft o Deep expertise in API Lifecycle Management with MuleSoft o Deep

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

Distinguished Data Engineer - Card Technology As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels

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

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

Lead 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 Lead Data Engineer, you'll have the