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Capgemini

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Senior Data Engineer (Ukraine)

Data EngineerData EngineerFull TimeRemoteSeniorTeam 10,001+Since 1967H1B SponsorCompany SiteLinkedIn

Location

Ukraine

Posted

100 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Engineer (Ukraine)

Capgemini

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Overview: We are looking for a Data Engineer to design, build, and operate production data pipelines and platforms that support large scale AI and ML workloads. The role focuses on end to end data lifecycle management, AWS based infrastructure, and collaboration with ML and data teams. Minimum Qualifications: - Bachelor’s or master’s degree in computer science, data engineering, software engineering, or related field - 2-3+ years of experience building production data pipelines and data platforms for AI or ML systems - Strong proficiency in Python, C++ and distributed data processing frameworks - Hands on experience with AWS services including S3, EC2, SageMaker, and Glue - Experience designing data systems that support large scale ML training and experimentation - Knowledge of data governance, access control, and lifecycle management - Experience working with ML, data science, operations, and cloud engineering teams. Preferred Qualifications: - Experience building pipelines across edge devices and cloud systems - Background working with large scale sensor, image, or IoT data - Familiarity with data labeling tools and annotation workflows - Experience with dataset versioning, lineage, and reproducibility systems - Understanding of privacy, compliance, or regulated data environments - Experience supporting global multi region data platforms. Key Responsibilities: End to End Data Pipeline Ownership - Design, build, and maintain research and production data pipelines spanning edge devices, cloud services, and centralized platforms - Own the full data lifecycle including collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement Edge to Cloud Data Flow - Develop resilient ingestion pipelines that handle device variability and connectivity challenges - Support secure data transfer from field environments to cloud storage - Collaborate with operations teams to improve data coverage, observability, and reliability Data Quality, Governance, and Compliance - Implement privacy preserving transformations and obfuscation pipelines - Build automated data cleaning and validation processes - Establish data lineage, retention policies, and access controls to ensure compliance and traceability Data Services for AI and ML - Provide scalable data services for training, evaluation, and research experimentation - Support continuous data refresh and retraining workflows - Integrate with labeling and annotation systems - Enable efficient access patterns for large scale ML workloads AWS Based Cloud Infrastructure - Build and optimize pipelines using AWS services such as S3, EC2, SageMaker, Lambda, Glue, and Step Functions - Design for cost efficiency, performance, and reliability at scale Collaboration and Feedback Loops - Work with AI and ML engineers, scientists, and data teams to gather data requirements - Translate feedback into automated improvements in data collection and labeling - Support teams with exploratory analysis and data issue debugging Scaling the Data Factory - Design and maintain data schemas, dataset versioning, and data factory updates - Architect global scale data systems across large device fleets - Ensure the platform is flexible for research and reliable for production. What you will love about working here? - We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period. - The gift from the company - Christmas holidays from 25 December to 31 December. - Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donnated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented a internal policy making the company friendly to military and veterans with the assistance of the Hub. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. #LI-Remote

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SAP Data Migration Lead

DXC Technology

Delivering excellence for our customers and colleagues

Data Engineer100 days ago
Full TimeRemoteTeam 10,001+Since 2017H1B Sponsor

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Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

United Kingdom

Provider Data Specialist - National Remote

UnitedHealth Group

UnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of

Data Engineer100 days ago

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United States
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Data Engineer100 days ago

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United States
Job Closed
Columbia University logo

Course Associate, Biodiversity Data Analytics (Online, Fall ‘26)

Columbia University

Located in New York, New York, Columbia University’s Teachers College (TC) is the oldest graduate school of education in the nation, as well as the largest. A

Data Engineer100 days ago

Company Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University’s School of Professional Studies seeks candidates for the role of Course Associate in the school’s Master of Science degree program in Biodiversity Data Analytics for the fall 2026 semester. A Course Associate is a part-time instructional role that supports a Lecturer in teaching and course facilitation. Serving as a Course Associate is an excellent opportunity to bolster teaching skills while building a relationship with Columbia University. The MS in Biodiversity Data Analytics prepares professionals to apply advanced data analytics and systems thinking to biodiversity conservation, environmental management, and nature-related decision-making across policy, finance, conservation, and industry. The program integrates ecological science with geospatial analysis, statistical modeling, and applied analytics and is delivered fully online. The program will hire multiple Associates, across two online course sections: - Graduate Seminar in Conservation Biology- Wednesdays 6:10-8:00pm - Intro Statistics Ecology & Evolutionary Biology - Tuesdays 6:10-8:00pm Course descriptions for both courses can be found here. Responsibilities - Total time commitment: ~ 10 hours/week (per course) - Prior to semester, complete training for Canvas learning management system (~ 1 hour) - Meet with Lecturer before semester starts (~ 1 hour) - Attendance at all live (synchronous) online class sessions (class generally meets 2 hours once per week) - Monitor student concerns and inquiries - Evaluate student work as requested by the Lecturer - Proctor the midterm and final exams - Supplement course instruction on occasion, as requested by Lecturer Qualifications - Master’s degree in environmental science, biology, ecology, or a closely related discipline is required, particularly where quantitative methods are applied to ecological systems. Doctoral degree preferred. - Demonstrated experience in areas related to biodiversity analytics, conservation science, sustainability, or environmental data fields - 2+ years of professional experience Preferred Qualifications - 2+ years teaching experience in a university setting at the graduate level. - Peer-reviewed publications and/or contributions to area of discipline. Additional Information Compensation: $3,000 - $3,240 per course. Review of applications begins immediately and will continue until positions are filled. All applicants must provide: - A CV inclusive of university teaching experience. - Cover Letter – indicating the course(s) for which you wish to be considered. Note: Columbia University’s Policy on Remote Work states that anyone teaching online classes must reside in one of the following states: Arizona, California, Colorado, Connecticut, Delaware, the District of Columbia, Florida, Georgia, Hawaii, Illinois, Maryland, Massachusetts, Montana, New Jersey, New York, North Carolina, Oklahoma, Texas, Vermont, Virginia and Washington. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran - Employee Job Category: Faculty Job - Term: 2026 FALL - Role: Associate, Part-time - Department: Biodiversity Data Analytics - Division: Masters - Program: Biodiversity Data Analytics - Academic Program: BIDO

United States
$3K - $3.2K / year