The Data Engineer will design, build, and maintain scalable data pipelines and services to support internal reporting and analytics. They will also collaborate with data scientists and analysts to deploy machine learning models and integrate third-party data sources.
Remote Data Engineer Jobs (2,551)
Search = Data Engineer
You will define the architecture for the data platform and lead the design of scalable, low-latency pipelines for high-volume payment transactions. Additionally, you will mentor senior engineers and partner with cross-functional teams to ensure data reliability and business value.
Design and develop ETL/ELT processes using Oracle ODI while maintaining mappings, packages, and load plans. Integrate data from multiple sources into data warehouse models and optimize SQL queries.
You will design and build scalable components for the data platform to enable high-throughput data ingestion, processing, and storage. Additionally, you will lead cross-functional initiatives and mentor peers while ensuring operational excellence for production systems.
Design, build, and maintain scalable ETL/ELT pipelines and robust data models within a Databricks Lakehouse environment. Collaborate with cross-functional teams including data scientists and analysts to ensure data reliability, quality, and performance.
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Design, build, and maintain scalable ETL/ELT pipelines using Spark, Python, and Databricks to support analytics and machine learning needs. Develop robust data models and implement data quality, observability, and governance standards across the Lakehouse platform.
You will contribute to the development of the overall data platform and support internal and external customers with technical data work. This includes planning, documentation, coding, and interacting directly with customers.
You will architect, develop, and manage the data platform to support efficient data ingestion, transformation, and accessibility. Additionally, you will collaborate with cross-functional teams to define the technical vision and roadmap for the platform.
The Senior Data Engineer will architect, implement, and maintain robust data technology systems across the modern data stack. They will also spearhead technical innovation and provide mentorship to junior and intermediate data engineers.
You will architect, develop, and manage the data platform to support efficient data ingestion, transformation, and accessibility. You will also collaborate with cross-functional teams to define the technical vision and roadmap for data infrastructure.
You will architect, develop, and manage the data platform to support efficient data ingestion, transformation, and quality assurance. Additionally, you will collaborate with cross-functional teams to define the technical vision and roadmap for data accessibility.
Senior Engineer, Data
Ensemble Health Partners, India
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Full Time
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6 Weeks Ago
Ensemble Health Partners, India
Design, build, and implement scalable batch and real-time data pipelines using Azure and Big Data technologies. Collaborate with stakeholders to ensure high data quality and support Revenue Cycle Management business requirements.
![Smart Working Solutions is hiring for remote Senior Data Engineer (GCP, BigQuery, Looker), PK [AS233]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Senior Data Engineer (GCP, BigQuery, Looker), PK [AS233]
Smart Working Solutions
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Full Time
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6 Weeks Ago
Smart Working Solutions
Design, build, and maintain robust ETL/ELT pipelines while managing the Google BigQuery environment for scalability and performance. Collaborate with cross-functional teams to translate business requirements into actionable data models and dashboards using Looker.
Data Engineer (Remote / Contract)
Verve For Advertisers
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Full Time
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6 Weeks Ago
Verve For Advertisers
The Data Engineer will collaborate with product and strategy teams to build customized reporting solutions and integrate new internal and third-party data sources. They will also streamline processes for rapid prototyping and ensure data integrity through monitoring and automated testing.
Lead Data Engineers drive the architecture, development, and optimization of scalable data solutions while ensuring alignment with business goals. They oversee technical delivery, mentor team members, and establish robust data governance and quality frameworks.
Sr. Manager, Mechanical & Plumbing Engineer - Data Centers
SB Energy
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Full Time
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6 Weeks Ago
SB Energy
Lead the development and continuous improvement of mechanical and plumbing engineering standards for large-scale data center projects. Oversee technical reviews, drive innovation, and mentor a team of engineers to ensure consistent, high-quality project delivery.
The Senior Electrical Engineer will provide subject matter expertise on electrical design, construction permitting, and project engineering for data center infrastructure. This role also involves leading and mentoring a team of engineers to ensure design quality, efficiency, and adherence to industry standards.
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Design, develop, and maintain scalable data pipelines using Databricks and Python while managing data governance via Unity Catalog. Collaborate with cross-functional teams to optimize ETL workflows and deliver high-quality data solutions.
You will design, build, and operate scalable data pipelines and platforms on GCP to support analytics, operations, and machine learning workloads. Additionally, you will contribute to engineering standards, mentor junior engineers, and collaborate with cross-functional teams to ensure secure and reliable data systems.
Design and operate orchestrated data workflows while maintaining scalable transformation layers for reliable downstream consumption. Define and enforce data quality standards, schema validation, and lineage while managing complex, real-world data sources.
Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform while developing automated workflows for analytics and AI/ML use cases. Collaborate with cross-functional teams to implement data security, governance, and CI/CD best practices.
Develop, orchestrate, and monitor data pipelines using Azure Data Factory while managing data ingestion and transformation within a Data Lake environment. Optimize data processes using Databricks and ensure performance, scalability, and governance across modern cloud data solutions.
Design, build, and maintain Databricks data pipelines while operationalizing machine learning models for production environments. Ensure data reliability and quality through robust monitoring, validation, and the implementation of MLOps best practices.
The Senior Solution Data Engineer will manage the Databricks environment, implement data governance via Unity Catalog, and oversee data warehousing operations in Snowflake and Redshift. Additionally, the role involves developing data pipelines, managing Adobe data ingestion, and orchestrating complex workflows using Airflow.
The Staff Data Engineer will architect and evolve scalable data ingestion, transformation, and egress frameworks while enhancing CI/CD pipelines and developer velocity. They will also lead the integration of AI/LLM tools to improve system maintenance, debugging, and overall data platform security.
Develop and maintain data pipelines for healthcare claims and enrollment data while implementing business logic from technical specifications. Ensure data accuracy through validation and reconciliation while managing concurrent workstreams across multiple measurement years.
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Microsoft Fabric Data Engineer
Xpress Wellness Urgent Care
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Full Time
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6 Weeks Ago
Xpress Wellness Urgent Care
The Microsoft Fabric Data Engineer designs, builds, and maintains scalable data pipelines and Lakehouse architectures within the Microsoft Fabric environment. They collaborate with Power BI developers and business stakeholders to ensure the delivery of high-performance, analytics-ready datasets.
The role involves managing the Databricks environment, implementing data governance via Unity Catalog, and overseeing data warehousing operations. You will be responsible for end-to-end maintenance of data pipelines and ensuring reliable data delivery across multiple cloud platforms.
Design and build scalable, production-grade data platforms and pipelines to support AI and analytics use cases. Collaborate with stakeholders to ensure data quality and reliability while implementing healthcare interoperability standards.
You will be responsible for designing, building, and optimizing scalable data pipelines and ETL/ELT processes as the first engineer in this domain. You will also maintain the data warehouse and collaborate with engineering and analytics teams on architectural decisions.
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