Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.
Remote Data Engineer Jobs (2,747)
Search = Data Engineer
Design and maintain scalable ETL/ELT pipelines to ingest and enrich firmographic data for a unified data platform. Collaborate with cross-functional teams to implement data matching logic and ensure data quality through dbt development.
Design and build a Databricks-first data lake and pipeline infrastructure to support AI-native data foundations. Develop multi-tenant data architectures, batch ingestion pipelines, and data access layers for AI agents and analytics.
Sr. Data Engineer, Investments
Fidelity & Guaranty Life Insurance Company
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Full Time
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4 Weeks Ago
Fidelity & Guaranty Life Insurance Company
Implement data integration architecture and develop ETL logic using Informatica, Snowflake, and Azure tools to support investment and hedging delivery teams. Collaborate with business partners to build scalable, maintainable technical solutions for processing and visualizing large datasets.
Build and maintain data flow and transformation patterns within an enterprise Oracle data warehouse environment. Collaborate with stakeholders to evolve the platform toward a hybrid lakehouse architecture using Apache Iceberg and cloud-native ETL.
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Design, build, and operate distributed data-intensive backend systems and pipelines to power product capabilities. Own production infrastructure and participate in an on-call rotation to ensure system reliability and performance.
Design, build, and optimize enterprise data pipelines and analytics environments to support Health IT modernization. Collaborate with data scientists and analysts to deliver scalable, secure, and high-quality data solutions.
Build and maintain a scalable data platform and warehouse architecture to power AI-driven decisions and self-service analytics. Integrate diverse data sources and ensure high data quality and reliability across the organization's data layer.
Responsible for selling Stack Forging Thermal Solutions Direct Liquid Cooling products to the Hyperscaler market segment. This includes managing relationships with major cloud providers and acting as a technical advisor for high-density compute deployments.
Lead the strategy and execution to unify data silos into a high-performance Federated Enterprise Data Intelligence platform. Architect a Lakehouse environment and agentic AI frameworks while providing technical mentorship and executive-level roadmapping.
Architect and implement log aggregation pipelines and a security data lake for centralized management. Design ETL processes for security data ingestion and collaborate with teams on data usage best practices.
Develop and operate modern data architecture and intricate processing pipelines to meet business objectives. Collaborate with data scientists to implement scalable models and ensure data quality, security, and privacy.
Design and implement scalable data models in BigQuery using dbt to power analytics, reporting, and operational insights. Establish data governance practices and partner with stakeholders to translate business requirements into reliable datasets.
Architect and own the end-to-end design of the data platform, establishing engineering standards for quality, observability, and governance. Partner with leadership to translate business complexity into a technical roadmap that supports underwriting, finance, and AI initiatives.
Design and maintain scalable ELT pipelines and modern data architectures using dbt and SQL. Collaborate with cross-functional teams to support data-driven applications and manage infrastructure as code via Terraform.
Design and optimize robust data pipelines and scalable warehousing architectures using Snowflake and dbt. Collaborate with stakeholders to transform raw data into actionable models for manufacturing and supply chain workflows.
Implement and optimize market-specific data pipelines for the Symphony platform using Scala and SQL on Apache Spark. Collaborate with core teams to ensure local implementations align with global architecture standards and metadata-driven frameworks.
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Act as the primary technical expert for Securiti AI solutions, guiding customers from needs assessment to solution design. Lead technical discussions and deliver customized product demonstrations and proof-of-concepts to showcase value.
Support the development and maintenance of data pipelines, ingestion processes, and transformations using SQL, Python, and Spark. Collaborate with senior engineers to ensure data quality, implement schema mappings, and maintain metadata and documentation.
Sr Data Engineer (Bangalore candidates only)
First Advantage Global operating Centre
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Full Time
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4 Weeks Ago
First Advantage Global operating Centre
Design, develop, and maintain data warehouse and data lake applications to support reporting and machine learning models. Responsible for creating optimal data pipelines, automating manual processes, and ensuring data accuracy and integrity.
Lead the design, development, and maintenance of data pipelines and analytical tools to support the Office of Head Start's grants management and decision-making. Supervise data-focused staff and ensure the delivery of secure, high-quality data solutions in alignment with federal policies.
Architect and build resilient, AI-native extraction and ETL pipelines to source high-value B2B data from complex websites. Design production-grade LLM extraction systems with rigorous evaluation frameworks and observability layers.
Lead the large-scale migration of legacy documentation into a cloud-based environment, focusing on transforming unstructured data into structured formats. Design and maintain MuleSoft integrations and Salesforce Data 360 implementations to ensure seamless data flow and operational efficiency.
Azure Data Engineer / Datawarehouse Developer / BI Developer
EMR India
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Full Time
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4 Weeks Ago
EMR India
Develop and maintain the Enterprise Data Warehouse and standard dashboards for a Global Business Intelligence Team. Provide data support for business self-service and data analysis activities.
Lead the end-to-end technical and operational ownership of client migrations, from legacy system analysis to production deployment. Architect and build scalable migration pipelines using Airflow and Spark while ensuring 100% data fidelity.
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.
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Design and operate scalable data systems to build ingestion, curation, and metadata-enrichment pipelines. Transform raw source data into reliable datasets to power enterprise data catalog and discovery services.
Senior Data Engineer - AWS Data Platform (Redshift, Glue, and Airflow)
Versant
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Full Time
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4 Weeks Ago
Versant
Design and develop data pipelines, marts, and schemas to support data warehousing and analytical requirements. Responsibilities include monitoring data warehouses, troubleshooting production issues, and mentoring other data engineers.
Design and maintain scalable batch and streaming data pipelines using AWS-native services to power a global workforce management ecosystem. Develop analytical data models and optimize data warehouse performance to support reporting and business intelligence.
Develop and maintain client use cases using GCP Big Data and Cloud infrastructure while ensuring data security and compliance. Contribute to the internal community through solution benchmarking, Proof of Concepts, and knowledge sharing.
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