The role focuses on applying data expertise and automation to generate accurate scientific content and product labels. It involves optimizing SQL and VB.NET platforms to streamline data flows and reduce redundant data entry.
Remote Data Engineer Jobs (2,745)
Search = Data Engineer
![CI&T is hiring for remote [Job-30263] AI Data Engineer / Snowflake Cortex Engineer](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Enable AI capabilities on the Data 4.0 platform using Snowflake Cortex to build AI-ready datasets and semantic data products. Support use cases such as metric intelligence and anomaly detection while defining reusable implementation patterns for AI enablement.
Design, develop, and manage a global music data platform orchestrating the full lifecycle of production data. Collaborate with cross-functional teams to build scalable cloud-based pipelines, databases, and analytics frameworks.
Design, build, and maintain data platforms and cloud infrastructure to support global individual giving fundraising programmes. Develop scalable ELT pipelines and integrations while ensuring data quality, observability, and alignment with corporate data strategies.
Data Engineer - Web Scraping
Alternative Path Private Limited
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Full Time
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1 Week Ago
Alternative Path Private Limited
Design, implement, and maintain web scrapers to create proprietary datasets for an asset management firm. Perform data cleaning and manipulation using Pandas and manage data ingestion and scheduling via Airflow.
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Design and implement end-to-end data solutions and ETL/ELT pipelines across AWS cloud and on-premises Oracle environments. Support the modernization of legacy data warehouse systems within a Data Mesh and Medallion architecture framework.
Develop and manage scalable data pipelines and architectures using Snowflake and cloud-native platforms. Collaborate with client stakeholders to deliver high-quality data ingestion, transformation, and governance solutions.
The role involves designing and implementing data engineering processes, focusing on data integration and ETL/ELT workflows. The engineer will manage data lakes and lakehouse architectures using various AWS services.
Own and modernize the company's data platform by transitioning to a lakehouse architecture using AWS services and dbt. Manage the deployment, scaling, and orchestration of the data stack while ensuring reliability, security, and cost-efficiency.
Develop and optimize distributed processing jobs using PySpark and manage Lakehouse architectures with Delta Lake in Databricks. Automate and deploy projects using Databricks Asset Bundles and implement declarative pipelines for data optimization.
Develop and evolve ETL processes and optimize data pipelines for an AI project. Provide technical support to internal data, business, and technology teams to ensure scalable infrastructure and governance.
The professional will transform functional and non-functional requirements into software components and optimize data pipelines. They are also responsible for developing ETL processes and providing technical support to internal data and business teams.
Lead the re-architecture and modernization of core data systems to enable scalable and secure pipelines for cloud and on-prem environments. Collaborate cross-functionally to create analytics for discovering IOCs on xOT assets and align team efforts with the company's data strategy.
Design and implement sustainable data contracts and transformation layers to support performant analytics. Collaborate with product engineering teams to deliver data solutions and establish shared tooling for observability and lineage tracking.
Data Engineer II - (Remote)
Fanatics Betting & Gaming
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Full Time
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1 Week Ago
Fanatics Betting & Gaming
Implement data ingestion pipelines and Airflow DAGs based on senior designs while ensuring data security and governance. Collaborate with stakeholders to gather requirements and maintain pipeline health through on-call support and code reviews.
Google Cloud Platform (GCP) Data Engineer
Accenture Federal Services
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Full Time
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1 Week Ago
Accenture Federal Services
Design and build secure data architectures and robust ETL pipelines on GCP to modernize federal data landscapes. Implement CI/CD pipelines and collaborate with stakeholders to optimize data models and query performance.
Lead the architectural transformation and modernization of data systems using Databricks and AWS to serve customers via purpose-built data stores. Design scalable data pipelines and systems to support AI-readiness, ML models, and LLM applications while mentoring other data engineers.
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Principal PLC Controls & Automation Engineer – Data Center Infrastructure
Jabil
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Full Time
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1 Week Ago
Jabil
Serve as the technical authority for automation architecture in liquid-cooled data center ecosystems, designing and deploying PLC and SCADA systems. Lead the creation of control philosophies, sequences of operations, and the integration of BMS and EPMS platforms.
Senior Data Engineer
Oredata Yazılım Anonim Şirketi
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Full Time
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1 Week Ago
Oredata Yazılım Anonim Şirketi
Provide technical leadership in designing and evolving a modern data platform and lakehouse architecture. Lead the creation of scalable data models and reusable data products to power reporting, analytics, and AI initiatives.
Design, build, and maintain scalable data pipelines and enterprise data architecture to support organizational decision-making. Partner with cross-functional teams to implement data modeling standards, governance practices, and reliable data workflows.
Design and implement scalable, secure data pipelines and ETL/ELT workflows across multi-cloud ecosystems. Collaborate with AI engineers to operationalize machine learning models and build intelligent chatbot platforms.
Lead the design and development of a production data platform to power machine learning across the organization. Create scalable, reusable feature pipelines and datasets that support model training, experimentation, and production inference.
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Develop stored procedures or notebooks to integrate 230 data items into DCoE data tables and views. Create an extensible process for adding new data fields via configuration with minimal re-engineering.
Design and automate distributed systems for collecting log events and loading data from various APIs. Manage data schemas, operate internal data warehouses, and collaborate with analysts to optimize reporting and analytic solutions.
Design and implement AWS-based data solutions and Snowflake-centric platforms, including data pipelines and AI components. Own the end-to-end design of data marts, warehouses, and lakes while producing initial architecture drafts for review.
Build and scale reliable data infrastructure and end-to-end pipelines using dbt and BigQuery to power analytics and AI-driven decision-making. Orchestrate workflows with Dagster and develop marketing attribution models and reverse ETL workflows.
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