Data Engineer III
Design, build, and maintain scalable data pipelines and infrastructure to support organizational decision-making. Collaborate with business stakeholders to develop dashboards and provide actionable insights using modern data tools.
146 Data Engineer jobs in India available for remote work from home. Apply for positions such as Data Engineer III, Data Engineer (5 to 7 yrs) (PySpark / Azure / Python / DataBricks) - Remote India, Senior Data Engineer (AI/ML) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 300,000+ remote workers worldwide.
Design, build, and maintain scalable data pipelines and infrastructure to support organizational decision-making. Collaborate with business stakeholders to develop dashboards and provide actionable insights using modern data tools.
The Data Engineer will design and implement robust data models and platforms to support healthcare analytics and AI initiatives. They will collaborate with cross-functional teams to gather requirements, ensure data quality, and integrate heterogeneous data sources.
Design and build scalable AI/LLM data pipelines and production-grade RAG systems to support intelligent product features. Collaborate with cross-functional teams to move AI prototypes into reliable, scalable, and observable production systems.
The Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support AI-driven workflows. They are responsible for ensuring data reliability, HIPAA compliance, and optimizing ETL/ELT processes using AWS and modern data tools.
You will build next-generation agentic AI systems that bridge raw data with actionable intelligence. This involves creating autonomous agents capable of reasoning, searching, and executing complex workflows integrated with collaboration tools.
We watch for new "Data Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
You will be responsible for building, optimizing, and maintaining robust ETL/ELT pipelines using Google Cloud tools to support business intelligence. Additionally, you will collaborate with architects and stakeholders to design data models and ensure high performance and accuracy of data transformations.
The Senior Data Engineer will build and maintain high-throughput ETL/ELT pipelines while ensuring data reliability through observability and monitoring. They will also collaborate with BI and Data Science teams to productize datasets and optimize query performance for cost-efficiency.
Design, develop, and maintain scalable data pipelines and modern data solutions using Microsoft Fabric and Azure technologies. Collaborate with cross-functional teams to translate business requirements into technical data models and optimized analytics workflows.
The Associate Data Engineer is responsible for designing, developing, and maintaining data pipelines and warehouses to support business intelligence reporting. They will manage ETL jobs, validate data models, and collaborate with stakeholders to ensure accurate data delivery.
Leads the design, development, and maintenance of scalable data and analytics platforms using distributed processing solutions. Collaborates with cross-functional teams to implement data governance, security, and high-performance ETL/ELT pipelines.
You will design and implement automated testing, CI/CD guardrails, and data quality controls to ensure the reliability of reporting products. Additionally, you will mentor engineers, lead root-cause analysis for incidents, and enforce engineering standards across the reporting stack.
The role involves collaborating with business analysts to define requirements and producing technical specifications, code, and unit test plans. You will be responsible for maintaining coding standards, meeting project timelines, and owning key software features or modules.
Design and maintain data acquisition infrastructure while building AI-powered, self-healing scrapers for public data. Develop resilient pipelines and agentic workflows to ensure data accessibility and system observability.
Design, develop, and maintain scalable data pipelines and software architectures to support clinical trial operations. Integrate LLM-powered solutions and ensure data quality, governance, and reliability across analytical systems.
You will assist in building and maintaining data pipelines while writing and optimizing SQL queries to support business analytics. Additionally, you will collaborate with teams to ensure data quality and document technical workflows.
You will own and drive impactful distributed systems problems end-to-end, from inception through production launch. You will also collaborate with the engineering team to prioritize projects and mentor other engineers to raise the overall quality bar.
Develop and enhance Databricks pipelines while managing business-critical data and collaborating with stakeholders. Design and implement data models to support machine learning, AI, and ad-hoc access to large datasets.
We watch for new "Data Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
The Senior Data Engineer designs, develops, and optimizes scalable data solutions and pipelines on the Microsoft Fabric platform. This role leads data integration frameworks and collaborates with stakeholders to support enterprise analytics, reporting, and AI initiatives.
Design and implement scalable data solutions using Microsoft Fabric, Azure SQL, and modern data warehousing architectures. Manage end-to-end data pipelines, optimize database performance, and support AI-driven analytics initiatives.
Design, develop, and maintain scalable data platforms and pipelines using Microsoft Azure services. Collaborate with cross-functional teams to implement data ingestion, transformation, and quality frameworks that support enterprise analytics and AI initiatives.
You will act as the senior technical authority for complex data and analytics engagements, owning end-to-end solution architecture and delivery. You will lead client discovery, define technical standards, and coach senior consultants to ensure architectural integrity and business success.
You will design, build, and support modern data and analytics solutions using Microsoft Fabric and Azure technologies. Additionally, you will lead engineering workstreams, mentor junior colleagues, and translate complex business requirements into scalable technical designs.
Design, build, and optimize scalable data pipelines and architectures using AWS, Databricks, and Spark. Collaborate with cross-functional teams to translate business requirements into high-performance data solutions and maintain technical documentation.
You will partner with clients to design and build scalable, production-ready Data and AI solutions while serving as a senior technical contributor. Additionally, you will mentor engineering teams, contribute to technical architecture, and leverage AI tools to improve delivery speed and code quality.
The Senior Data Engineer designs, builds, and maintains data ingestion and transformation pipelines using Microsoft Fabric. They ensure data quality, performance, and reliability while delivering datasets for modeling, analysis, and business intelligence.
The Data Engineer will construct, deploy, and maintain scalable data workflows across various enterprise systems including Salesforce, Oracle ERP, and SQL Server. They will also develop automated testing procedures to ensure data quality, consistency, and compliance with governance policies.
We watch for new "Data Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Develop, test, and deploy end-to-end EDI maps and workflows using OpenText tools while managing partner onboarding and technical integration. Provide ongoing monitoring, troubleshooting, and root-cause analysis for EDI processing to ensure seamless data exchange across supply chain systems.
Design, develop, and maintain scalable data engineering applications using GCP, Spark, Hive, and BigQuery. Collaborate with product teams to translate requirements into technical solutions and support production environment deployments.
You will architect and build scalable data infrastructure to support AI-driven operational platforms for property management. This role involves defining data engineering standards, managing real-time pipelines, and collaborating with cross-functional teams to translate data capabilities into product decisions.
The Senior Data Engineer will build and maintain ETL/ELT pipelines to ingest advertising data into Snowflake and optimize data models for analytics. They will also manage AWS-based infrastructure and collaborate with the engineering team to integrate new data sources and DSP connections.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work