Design and evolve the semantic modeling layer to serve as the single source of truth for business metrics and logic. Lead the technical strategy for data product enablement, performance scaling, and AI-augmented engineering workflows.
Remote Data Engineer Jobs (2,551)
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Design, develop, and maintain large-scale data ingestion and transformation pipelines using GCP. Collaborate with multidisciplinary teams to transform raw data into reliable analytical assets for business decision-making.
Architect and maintain scalable data platform infrastructure and optimize analytic query engines. Collaborate with data teams to implement robust data management solutions and observability frameworks.
Build and maintain high-performance data layers and petabyte-scale storage infrastructure for AI training and evaluation. Collaborate with researchers and engineers to solve networking and performance challenges for demanding AI workloads.
Senior Databricks Platform Engineer, Data + AI (18-month Term)
Kinaxis Inc.
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Part Time
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3 Weeks Ago
Kinaxis Inc.
Engineer the Databricks platform across Azure and GCP, focusing on Unity Catalog, Delta Sharing, and CI/CD pipelines. Collaborate with ML R&D teams to evolve data governance and build AI-driven data products.
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Design, implement, and maintain scalable data pipelines and dimensional data models using Snowflake and Medallion architecture. Collaborate with teams to ensure reliable ETL processes and data integration workflows for analytics and reporting.
Define and implement scalable architectural solutions and data pipelines using Medallion Architecture and cloud-native lakehouses. Lead technical direction, data security policies, and BI integrations while mentoring other team members.
The Clinical Data Engineer manages all aspects of clinical data integration, maintenance, and reporting to support production services. This includes developing automated solutions for the Enterprise Data Warehouse and ensuring compliance with healthcare data standards.
Design and build the end-to-end data lake, ETL pipelines, and production backend services for internal AI platforms and portfolio companies. Provide technical due diligence and architectural evaluation for AI-driven startups considered for investment.
REMOTE DoW Mid/Senior Data Engineer (Database Engineer) - 26859 1
HII's Mission Technologies division
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Full Time
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3 Weeks Ago
HII's Mission Technologies division
Design and govern logical and conceptual data architectures to enhance a centralized data environment for financial transaction data. Develop Python-based scripts and ETL pipelines to ensure secure data ingestion and integration for senior leadership decision-making.
Design and develop scalable data and AI platforms to enable machine learning and intelligent applications across the enterprise. Build robust data pipelines and integrate structured and unstructured data sources in cloud environments.
Design and build scalable data pipelines and backend systems using AWS and GCP. Optimize databases and data warehouses while supporting Power BI reporting for business decisions.
The role involves designing, building, and maintaining data pipelines and performing quality assurance to ensure data accuracy. Additionally, the candidate will develop small features and lead an independent data engineering project.
Senior Cloud Data Engineer (AWS GCP Databricks)
Future Processing
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Full Time
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3 Weeks Ago
Future Processing
Responsible for designing, creating, and optimizing cloud data processing solutions (ETL/ELT) and technical documentation. The role involves analyzing client business requirements to deliver optimal architectural solutions and managing potential risks.
Principal AI Data Engineer
Thermo Fisher Scientific
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Full Time
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3 Weeks Ago
Thermo Fisher Scientific
Design and build data product solutions that enable AI agents to reliably access and reason over enterprise and clinical data. Focus on transforming raw data into use-case-ready products using Snowflake, SQL, and modern AI tooling.
Design, build, and maintain scalable ETL pipelines and data infrastructure to power AI/ML product features. Collaborate with cross-functional teams to translate business requirements into technical data solutions and ensure data quality and security.
Design and develop AI solutions, including RAG pipelines and LLM-based systems, integrated with cloud infrastructures. Handle data preparation, transformation, and the development of business logic using Python.
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Own data integration with utility customers by managing data requirements, reviewing schemas, and onboarding data into the platform. Focus on automating manual onboarding steps and developing internal tools to make the process more repeatable.
Data Engineer - Hybrid / Remote
Surgery Partners, Inc
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Full Time
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3 Weeks Ago
Surgery Partners, Inc
Architect and implement scalable, high-throughput data pipelines using Azure Databricks and a medallion architecture. Ensure secure processing of healthcare data (PHI) while maintaining compliance with HIPAA and SOC 2 standards.
Build and maintain backend services and system integrations across core business platforms to power reporting and forecasting. Design reliable data ingestion patterns and productionize data products to support analytics and data science initiatives.
The Data Engineer is responsible for designing, implementing, and maintaining analytical infrastructure, including SQL and NoSQL databases and large-scale processing systems. They will also manage ETL processes, perform database performance testing, and provide Tier 3 technical support.
Support the migration of data assets from Amazon Redshift to Snowflake and provision data infrastructure for the Insurance business unit. Build and maintain automated data pipelines using Airflow and dbt to provide business insights.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Apache Spark and Databricks. Collaborate with cross-functional teams to translate business requirements into technical data solutions and ensure data quality and reliability.
Design and operate data systems powering AI experiences and analytics, focusing on optimizing Snowflake and natural language data retrieval. Build batch and streaming pipelines to transform raw legal data into trusted data products for agentic AI workflows.
Senior Data Engineer
Bridgeway Benefit Technologies
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Full Time
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3 Weeks Ago
Bridgeway Benefit Technologies
Design and maintain a scalable lakehouse architecture and ELT pipelines to support advanced analytics and AI/ML consumption. Provide technical leadership and mentorship while ensuring data security, quality, and cost-efficient performance.
Senior Site Reliability Engineer (Data & Automation Focus)
SS&C Technologies
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Full Time
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3 Weeks Ago
SS&C Technologies
Design and maintain a scalable data platform and reliable ETL/ELT pipelines using SRE principles. Automate operational processes and implement monitoring and observability to ensure data quality and system efficiency.
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Design, develop, and maintain streaming data pipelines and a big data platform for real-time network observability and alerting. Ensure platform reliability and performance while collaborating with stakeholders to translate business requirements into technical solutions.
The Senior Data Engineer will build robust ELT pipelines to ingest and normalize heterogeneous healthcare data into analysis-ready assets. They will collaborate with data science teams to support causal inference and predictive analysis through clean, longitudinal patient datasets.
Design and optimize high-performance ELT pipelines to power a centralized data warehouse for data-driven decision-making. Collaborate with cross-functional teams to build a scalable data platform and provide technical leadership through architecture reviews.
Build and modernize data pipelines and integrations across on-prem, hybrid, and multi-cloud environments. Engineer data and analytics components while supporting testing, documentation, and operational transition materials.
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