2794 data engineer jobs found

ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over 1,000,000 units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $35 billion of development assets and over $30 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com. JOB DESCRIPTION SUMMARY We are looking...

Company Description Hi there! We’re Razorfish. We’ve been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What’s different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at razorfish.com. Overview Sr. Data Engineering Analyst will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Sr. Data Engineering Analyst is gaining experience by building data pipeline and...

R194693 Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Engineer within PNC's Asset Management organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX or Birmingham, AL. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. As a Data Engineer, with a focus on governance, modeling, and analysis, you will be part of a Data Analyst team where you will be responsible for strategic leadership in data governance, data modeling, metadata...

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 Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for META. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Summary As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will...

Min: USD $135,000.00/Yr. Max: USD $145,000.00/Yr. Position Overview: SCOPE OF ROLE : The Data Engineer is responsible for building and maintaining a governed, analytics-ready data environment within Microsoft Fabric. This role designs and supports modern data pipelines that ingest, transform, and migrate data for enterprise analytics while ensuring high standards of data quality, metadata management, lineage, and cataloging. The Data Engineer plays a key role in establishing trust in data through strong governance practices and clear documentation. In addition, the role focuses on analytics and BI enablement, including the development and optimization of semantic models and close collaboration with BI teams to support Power BI reporting and self-service analytics. The ideal candidate brings strong SQL and data modeling skills, hands-on experience with Microsoft Fabric and related cloud data platforms, and the ability to work cross-functionally with technical and business...

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Job Category: Academic Staff Employment Type: Terminal (Fixed Term) Job Profile: Data Engineer II Job Summary: The Office of Informatics and Information Technology (IIT) is seeking an outstanding candidate for a Data Engineer II position to manage and fulfill research data needs for a grant funded project. The responsibilities of the incumbent will include gathering requirements, developing code, retrieving data from Epic’s reporting databases, transforming data, and maintaining documentation. The ideal candidate will demonstrate a strong work ethic and a professional, enthusiastic attitude. This role is contingent upon external grant funding and is expected to last for two years. We are currently seeking to fill two open positions: one with a primary focus on Radiological image analysis and the other...

Current employees: if you are currently employed at any of the universities of wisconsin, log in to workday to apply through the internal application process. Job category: Academic Staff Employment type: Terminal (Fixed Term) Job profile: Data Engineer II Job summary: The Office of Informatics and Information Technology (IIT) is seeking an outstanding candidate for a Data Engineer II position to manage and fulfill research data needs for a grant funded project. The responsibilities of the incumbent will include gathering requirements, developing code, retrieving data from Epic’s reporting databases, transforming data, and maintaining documentation. The ideal candidate will demonstrate a strong work ethic and a professional, enthusiastic attitude. This role is contingent upon external grant funding and is expected to last for two years. We are currently seeking to fill two open positions: one with a primary focus on Radiological image analysis and the other...

Job Title: Data Engineer I Job Type: Full-Time Location: Hybrid — Glen Cove, NY Why Epicured? Epicured is on a mission to combat and prevent chronic disease, translating scientific research into high-quality food products and healthcare services nationwide. Our evidence-based approach brings together the best of the clinical, culinary, and technology worlds to help people eat better, feel better, and live better one meal at a time. By joining Epicured’s Technology team, you’ll help power the data infrastructure that supports Medicaid programs, clinical services, life sciences initiatives, and direct-to-consumer operations — enabling better decisions, better outcomes, and scalable growth. Role Overview Epicured is seeking a Data Engineer I to support data ingestion, reporting, and analytics across multiple business lines. Reporting to the CTO, this role will focus on building and maintaining reliable reporting pipelines, supporting business requests, and...

Meet Upside We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives. About The Role We're looking for a Staff Data Engineer to serve as a technical leader on the Analytics Engineering team. In this role, you'll drive the design and implementation of foundational data products and analytics platform capabilities that power Upside’s most critical product and business use cases....

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 Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for META. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Summary Are you passionate about Facebook's product, analytics and technology? The Analytics, Data Engineering team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Our data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct...

Are you ready to make an impact? As a Senior Data Engineer , you will work with clients and internal teams to develop scalable, high-performance data solutions. You will focus on building modern data pipelines, implementing cloud-native architectures, and ensuring data quality and reliability. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate in a fast-paced consulting environment. Responsibilities Design and develop robust, scalable, and efficient data pipelines using modern tools and frameworks. Build and optimize ETL/ELT workflows for ingesting, transforming, and storing structured and unstructured data. Implement data architectures on cloud platforms, particularly Google Cloud Platform (GCP), leveraging services such as Dataflow, BigQuery Dataform, and Data Fusion Develop real-time data processing solutions using streaming technologies like Apache Beam and Pub/Sub. Collaborate with data architects and business...

Hi, Hope your are doing well. My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com. Role: Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby location) Mid-Level (5 12 years) Mandatory Skills: - Data pipeline development - SQL - Python - Spark, Hive, Airflow Preferred Skills: - Cloud data platforms (AWS/GCP/Azure) - NoSQL databases Expert (12+ years) Mandatory Skills: - Big Data architecture design - Performance tuning for large-scale systems - SQL - Python Preferred Skills: - Advanced data governance & security - AI-driven data processing Common Mandatory Skills: Summary of Common Skills Across Roles - Java - Spring Boot - Python - SQL Server - DB2 - REST APIs - Version...

Posted Date 12/18/2025 Description Senior 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 Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python...

The Opportunity John Hancock/ Manulife is looking for a technically strong hands-on, collaborative Senior Data Engineer with Informatica experience who can bring thought leadership to the table and can build fabulous experiences for our customers. Work location: Boston - USA (ideally) or Toronto - Canada Work arrangement: Hybrid - 3 days in office, 2 days from home; Remote working arrangement is not available. Position Responsibilities: Builds, codes, tests, maintain high quality software Participates in Agile sprints and ceremonies; supports rapid iteration and development Design, develop, and implement data integration solutions using Informatica PowerCenter to support business requirements. Collaborate with business analysts and stakeholders to understand data needs and translate them into technical specifications. Develop and maintain data mappings, transformations, and workflows within Informatica PowerCenter....

Are you passionate about Facebook’s product, analytics and technology? The Analytics, Data Engineering team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Our data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. You will work with some of the brightest minds in the industry, and you'll have the opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match. Data Engineer, Analytics (University Grad) Responsibilities: Architect, implement and deploy new data models and data processes in production Perform data analysis to generate business insights Interface with Engineers,...

About Particle Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient. Through our modern data platform, we enable healthcare innovators—ranging from value-based care providers and payers to digital health companies and health systems—to access standardized, real-time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision. Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows. Company Overview At Particle Health, our mission is to unlock the power of...

Senior 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 Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL...

Skip to main content ","library":"fa-solid"},"toggle":"burger"}" data-widget_type="nav-menu.default"> Sign In Customer Sign In Supplier Resources Become a Customer Store Locator Careers Sign In Customer Sign In Supplier Resources Become a Customer Store Locator Careers ","library":"fa-solid"},"toggle":"burger"}" data-widget_type="nav-menu.default"> Business Solutions Products & Services Trends & Inspiration About Us Business Solutions Products & Services Trends & Inspiration About Us Search Job ID: R-46040 US-Michigan -Wyoming Application Development and Enterprise Architecture Data Engineer Associate Full time Apply Now Wyoming, Michigan Share Position Summary Using their inquisitiveness, tenacity, and willingness to learn, this Data Engineer Associate will help develop the GFS Data Platform consisting of the data lake, analytics, enterprise data warehouse, and visualization tools. They will follow the...

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 Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Insight Global. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Job Description A client is seeking a Data Engineer to support their data pipeline with the below responsibilities:  Design and develop scalable data pipelines to collect, process, and store large volumes of data.  Collaborate with data scientists and analysts to drive scope & requirements as well as deliver strong technical design of data analytics solutions.  Ensure data quality and integrity through cleansing processes, validation, and automated testing....

Is the opportunity to join a culture where “We Do the Right Thing,” and “We Courageously Shape Our Future Together” important to you? If so, Guardian is seeking a resolute motivated individual to join our team as a Data Scientist/Senior Data Engineer – Finance Transformation. Guardian is seeking a technically skilled and business-savvy Technical Analyst / Data Engineer to design, develop, and support advanced actuarial and financial applications. This role will play a critical part in transforming our actuarial and finance functions by building scalable data pipelines, dashboards, and machine learning models that enhance decision-making and operational efficiency. You will work closely with Actuarial, Finance, Data Science, and Technology teams to deliver solutions used in reserving, pricing, predictive analytics, and financial reporting. You will: Machine Learning, Engineering & Analytics Development Build and optimize large-scale data pipelines using PySpark, SQL,...

Is the opportunity to join a culture where “We Do the Right Thing,” and “We Courageously Shape Our Future Together” important to you? If so, Guardian is seeking a resolute motivated individual to join our team as a Data Scientist/Senior Data Engineer – Finance Transformation. Guardian is seeking a technically skilled and business-savvy Technical Analyst / Data Engineer to design, develop, and support advanced actuarial and financial applications. This role will play a critical part in transforming our actuarial and finance functions by building scalable data pipelines, dashboards, and machine learning models that enhance decision-making and operational efficiency. You will work closely with Actuarial, Finance, Data Science, and Technology teams to deliver solutions used in reserving, pricing, predictive analytics, and financial reporting. You will: Machine Learning, Engineering & Analytics Development Build and optimize large-scale data pipelines using...