Data Engineering Jobs

Lead technical implementation and onboarding for enterprise customers, including data migration from legacy billing systems, building automation frameworks in Python, and managing complex integrations. This role requires close collaboration with account managers and customer stakeholders to ensure successful go-live.

Seeking a Senior Data Modeller to design enterprise data models using Microsoft Fabric and Medallion Architecture. The role involves creating conceptual, logical, and physical models for data onboarding and analytics, ensuring reusable and performant data structures for BI consumption. Ideal for a seasoned data professional with deep hands-on expertise in data modeling and modern lakehouse environments.

Develop and optimize enterprise-wide search systems and AI/ML models for ranking, personalization, and recommendations. Collaborate with business units to build AI-enabled search features and improve search accuracy through user behavior analysis.

Lead enterprise-scale data modernization initiatives using Microsoft Fabric. Define target-state architecture, implement Medallion architecture, and establish data governance frameworks. Build GenAI-ready data platforms enabling advanced analytics and machine learning.

This role involves designing, standardizing, and maintaining enterprise data models for large-scale data modernization initiatives. The data modeler will translate business requirements into conceptual, logical, and physical data models across multiple domains, ensuring consistency and alignment with cloud data platforms.

Lead the design and implementation of enterprise-scale data warehouse platforms on Databricks and Snowflake, establishing data modeling standards, governance frameworks, and scalable ingestion pipelines. Collaborate with cross-functional teams and engage with clients as a trusted advisor to drive data strategy and architecture blueprints.

Lead end-to-end data architecture design and implementation on AWS using Medallion Architecture. Responsible for building scalable data models across multiple business domains, ensuring data quality, and aligning with enterprise strategy. Oversee data pipelines, team delivery, and stakeholder communication.

We are hiring a Manager/Lead for Data Engineering & ETL Operations to drive enterprise-scale data integration and analytics solutions. The role requires strong hands-on expertise in ETL, cloud platforms, and data warehousing, along with ability to lead teams and manage delivery. This is a hands-on leadership role ideal for professionals transitioning from Senior Engineer to Manager.

This role involves sourcing publicly available documents from government archives, academic repositories, and open datasets to train next-generation AI systems. The specialist verifies license types, logs metadata, and collaborates with data engineering and compliance teams to ensure adherence to open-source licensing requirements. No prior AI experience is required; domain expertise in document sourcing and licensing is key.

This role involves training next-generation AI systems by capturing precise motion data using a smartphone's IMU sensor and recording synchronized video footage. You will follow strict technical protocols to ensure high-quality data submissions while working remotely from specific US states. No prior AI experience is required; domain expertise in data collection and attention to detail are key.

This role involves transcribing complex Thai audio materials with high accuracy to help train next-generation AI systems. You will use both AI transcription tools and manual methods to ensure transcript quality, proofread and edit for grammar and domain-specific terminology, and maintain strict confidentiality. The position is fully remote and requires no prior AI experience—domain expertise in Thai transcription is the key qualification.

This role involves transcribing intricate Kannada audio content to help train next-generation AI systems. You will use advanced AI transcription tools to ensure high accuracy, review and edit transcripts, and handle confidential speech data securely. The focus is on linguistic expertise and transcription accuracy, not voice recording or voiceover tasks.

This role involves transcribing complex Malayalam audio files into precise written text to help train next-generation AI systems. The expert will use AI transcription tools to enhance efficiency and ensure high accuracy, applying domain-specific vocabulary and context. Collaboration with team members and adherence to data confidentiality are key aspects. No prior AI experience is required; domain expertise in Malayalam transcription is what matters.

This role involves transcribing complex Odia audio files into accurate written text to help train next-generation AI systems. The transcriptionist will use AI transcription tools, proofread and edit transcripts, and handle confidential speech data securely. Collaboration with a multilingual team and maintaining organized records are key aspects. No prior AI experience is required—domain expertise in Odia language and transcription is valued.

This role involves designing, developing, and maintaining robust web scraping scripts to extract and clean data from websites. The work directly supports training next-generation AI systems by providing high-quality, real-world input. No prior AI experience is required—domain expertise in web scraping is what matters. The position also requires collaborating with team members to define data requirements and ensure pipeline reliability.

This Python Developer role focuses on building and maintaining robust backend applications using Python and Django, with PostgreSQL and AWS for database and cloud infrastructure. The work directly supports training next-generation AI systems, but no prior AI experience is required—domain expertise in backend development is what matters. You'll collaborate with cross-functional teams, write clean code, and participate in code reviews while working remotely on a contract basis.

This role focuses on training next-generation AI systems by designing, developing, and deploying machine learning models. You will collaborate with cross-functional teams to define data pipelines and deliver high-impact AI solutions, while also optimizing ETL processes and maintaining production models. The job values domain expertise over prior AI experience and requires strong technical communication.

This role involves applying SQL expertise to help train next-generation AI systems by designing and optimizing complex queries for data pipelines and analytics. You will collaborate with AI engineers and data scientists to implement data solutions, analyze large datasets, and ensure data integrity for machine learning workflows. The position is fully remote and offers the opportunity to contribute directly to the improvement of AI models through high-quality, real-world data input.

This role is for a remote Data Engineer contractor who will apply their domain expertise to help train next-generation AI systems by designing, building, and maintaining scalable ETL pipelines. The position involves developing data models, collaborating with cross-functional teams, and ensuring data accuracy and security across platforms. No prior AI experience is required; the focus is on leveraging SQL and Python skills to shape how AI models learn and perform.

This role involves managing data workflows to train next-generation AI systems. You will design annotation processes, monitor KPIs, analyze datasets, and collaborate with cross-functional teams to align data strategies with business objectives. No prior AI experience is required—domain expertise is the primary qualification.

This role involves managing data workflows to train next-generation AI systems. The Human Data Manager designs and monitors data annotation, collection, and processing pipelines, analyzes datasets for actionable insights, and collaborates cross-functionally to align data strategies with business objectives. As a new graduate position, it leverages domain knowledge rather than prior AI experience to ensure high-quality real-world input for AI model training.