NewData Engineer The Carlyle Group Employee Co.Data EngineerNew York, New YorkThe ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold tables, primarily for our Machine Learning (ML) team, utilizing Snowflake and Databricks platforms. The compensation range for this role is specific to New York, NY and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
Data Engineer - w2 Veterans Sourcing GroupData Engineer - w2Jersey City, NJPython, SQL, cloud data tools experience (e.g., AWS Glue, Azure Data Factory). Develop ETL pipelines, ensure data quality, optimize data storage solutions.
Data Engineer Veterans Sourcing GroupData EngineerJersey City, NJDevelop ETL pipelines, ensure data quality, optimize data storage solutions. Python, SQL, cloud data tools experience- Azure Data Factory)
Integration Data Engineer Mizuho Americas Services LLCIntegration Data EngineerJersey City, NJFull timeLeverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained.
Lead Data Engineer Lakeview Loan ServicingLead Data EngineerNew York, New YorkRemote$220,000–$260,000 / yearFull timeWorking across ingestion, transformation, storage, modeling, orchestration, and delivery, this role partners closely with Product, Engineering, AI, Analytics, and domain Subject Matter Experts (SMEs) to translate complex business processes into scalable data platforms, pipelines, and trusted datasets. This role owns the technical direction for core data capabilities, including ETL/ELT, batch and real-time processing, OLTP and OLAP systems, BI-ready data models, and cloud-based data infrastructure in a regulated, high-stakes environment.
Big Data Engineer Throtle, Inc.Big Data EngineerRed Bank, NJWork with cross-functional teams to ensure software systems meet business requirements and are scalable for future growth, including developing predictive models and enhancing data quality. Additionally, the individual will be responsible for the development, implementation, and regular maintenance of policies and procedures that govern the work of assigned roles and responsibilities, including compliance with the security requirements of ePHI.
NewSenior Data Engineer/Orchestration Specialist Macpower Digital Assets Edge Private LimitedSenior Data Engineer/Orchestration SpecialistNew York, NYRemote$153,000–$210,000 / yearAs a Senior Data Engineer, you will play a crucial role in building and maintaining data pipelines, developing and managing dashboards, and contributing to tool development. Technical Skills: strong expertise with SQL and non-SQL DBs, cloud-based data platforms (e.g., AWS, GCP) and their related services (S3, BigQuery, etc.).
Senior Staff Data Engineer CZ BiohubSenior Staff Data EngineerNew York, NY$241,000–$301,000 / yearThe anticipated base pay ranges for this role in Redwood City, CA and New York City, NY are $241,000-$301,000 annually for the Staff level and $270,000-$338,000 annually for the Senior Staff level. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
Senior Data Engineer raylu.aiSenior Data EngineerNew York, New YorkOpinionated: Deep level of understanding of the technological landscape, making both high level system and granular code design decisions based on understanding rather than preference - diving deep on unknown patterns in order to build the best product. The role blends classic data engineering with data operations, vendor/BPO orchestration, and data partnerships.
Data Engineer Colgate-PalmoliveData EngineerPiscataway, NJ$96,800–$137,000 / yearIn this role, you will be responsible for building and maintaining the data pipelines that support our digital ecosystem — from ingesting raw data across multiple digital touchpoints to delivering clean, robust data that business teams can trust and act on. For additional Colgate terms and conditions, please click here (https://www.colgatepalmolive.com/content/dam/cp-sites/corporate/corporate/en_us/corp/locale-assets/pdf/colgate-terms-and-conditions-2023.pdf) .
Lead Software Engineer - Data Engineer and Applied AI JPMorgan Chase Bank, N.A.Lead Software Engineer - Data Engineer and Applied AIJersey City, NJFull timeStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. As a Lead Software Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
Senior Data Engineer First StreetSenior Data EngineerNew York City, NY$100,000–$175,000 / yearThey will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that databases and pipelines coordinate and synchronize with APIs, and web services. Our data: We've assembled leading climate scientists and economists to develop transparent, peer-reviewed methodologies to calculate the past, present, and future climate risk for properties and asset classes spanning real estate, infrastructure, and companies.
Data Engineer eTeam Inc.Data EngineerJersey City, NJ$60–$62 / hourSkills: Python, SQL, cloud data tools experience- Azure Data Factory) Responsibilities: Develop ETL pipelines, ensure data quality, optimize data storage solutions.
Python SQL Data Engineer Financial Services Phaxis LLCPython SQL Data Engineer Financial ServicesNew York, NY$140,000–$200,000 / yearSalary is 140k to 200k + bonus We are seeking a Data Engineer with strong Python and SQL expertise to support data integration, analytics, and reporting initiatives within a financial services environment. The ideal candidate will have experience building scalable data pipelines, working with large datasets, and supporting cloud-based data platforms.
Data Engineer Stone Alliance Group Career PageData EngineerNew York, NY$119,000–$150,000 / yearYou will use common frameworks, platforms, and languages, such as Python, SQL, GitHub, containerization tools (e.g., Docker, Kubernetes), and cloud computing infrastructures (e.g., AWS, Azure) to build robust and scalable data infrastructure that supports our AI research initiatives. You will develop infrastructure to support large-scale AI evaluation frameworks, design scalable data pipelines for generating and processing synthetic data, implement secure data storage solutions, and create infrastructure for real-time model evaluation and monitoring.
Senior Java Data Engineer The Brixton Group, Inc.Senior Java Data EngineerJersey City, NJThis role partners with business stakeholders and engineering teams to translate regulatory and business requirements into scalable solutions across Java, Oracle, and Hadoop-based platforms while driving strategic analysis and successful delivery. Lead functional analysis, stakeholder workshops, and design deep dives while communicating complex data concepts to business and technical audiences.
Senior Data Engineer, Customer-Facing Data Products New York Times CompanySenior Data Engineer, Customer-Facing Data ProductsNew York, NY$140,000–$155,000 / yearThe New York Times is looking for a Senior Data Engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.
Staff Data Engineer HeadwayStaff Data EngineerNew York, New YorkWe operate with a strong engineering discipline, partnering closely with Data Scientists, Analysts, and core Software Engineering teams to ensure data is not just available, but completely trustworthy for every critical decision and product feature. Architectural Ownership: Proven ability to define the technical roadmap for the entire data platform, working horizontally to influence architectural decisions and technical debt management across multiple engineering teams.
NewSenior Data Engineer - AI Infrastructure Integration, High Performance Compute Bank of AmericaSenior Data Engineer - AI Infrastructure Integration, High Performance ComputeJersey City, New YorkThe ideal candidate combines applied data science, natural language processing, machine learning, automation, model validation, and software engineering experience with the discipline to deliver production-ready solutions in a regulated enterprise environment. Build reusable models, data pipelines, APIs, feature workflows, prompt libraries, automation components, dashboards, and integration patterns across technology, risk, operations, and platform domains.
Lead Big Data Engineer - VP BarclaysLead Big Data Engineer - VPWhippany, NJTo drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives. To be successful as a Lead Big Data Engineer - VP, you should have: Deep expertise in Java, Scala, Apache Spark, Amazon S3, Hadoop ecosystem technologies, and cloud-based big data platforms, with a proven ability to design, develop, and optimize large-scale data processing solutions.