As a Data Engineer I at Zebra, you will be part of an innovative team pushing boundaries to develop smart solutions. Your core responsibilities will include:
Pipeline Development: Understanding client technical requirements to design and build robust data pipelines.
Technical Leadership: Overseeing the development work of other engineers alongside building your own solutions.
Client Collaboration: Effectively communicating technical concepts with clients and internal cross-functional teams.
Data Orchestration: Utilizing databases, SQL, cloud technologies, and modern orchestration tools like GCP, Databricks, PBI, and Airflow to drive solutions.

Data Engineer I

Data Scientist / Associate Data Engineer

As a Data Science Engineer at Sabre, you will be an early-career contributor heavily focused on building and testing Generative AI and agentic AI components. Utilizing Google Cloud Platform, Vertex AI, and ADK frameworks, your day-to-day operations will heavily emphasize hands-on coding. You will build intelligent agent tools, integrate simple planners, and implement baseline GenAI workflows like prompt engineering and RAG pipelines.
This role provides tremendous learning opportunities. You will work closely with senior engineers to understand complex architectures, participate actively in code reviews, ensure basic observability (logs, error handling), and strictly apply Responsible AI safety prompts and security guidelines.

Data Science Engineer

As a Software Engineer – Data at DeepIntent, you will be instrumental in establishing a formal data practice for the organization. Your primary focus will be designing, developing, and operating configurable data pipelines that serve high-volume, high-velocity data. You will build the foundation that supports our Data Scientists and Machine Learning Engineers.
You will work heavily with public clouds (GCP/AWS) and implement rigorous DataOps practices. By building simple, highly reliable data storage, ingestion, and transformation solutions, you will enable the self-service introduction and usage of new data across various business stakeholders.

Software Engineer – Data

As a Software Engineer – Data at DeepIntent, you will help establish a formal data practice for the organization. You will build, operate, and scale robust data architectures designed to handle high-volume and high-velocity datasets. Your daily work includes creating self-service configurations that allow analysts and engineers to introduce new data formats easily, alongside deploying streamlined ingestion, transformation, and storage layers that minimize infrastructure friction.
A primary focus of this role is implementing DataOps practices and managing configurable pipelines that serve Data Scientists and Machine Learning Engineers. You will build and optimize architectures on public clouds like GCP or AWS , leaning on tools like Apache Spark, Airflow, Druid, or BigQuery . Operating in an Agile format, you will cross-collaborate with business leaders, software engineers, and analytics teams to design cost-effective architectures without sacrificing throughput.

As a Data Engineer Intern at Snowflake, you will design and build data streaming architectures based on complex business and product requirements. You will route, transform, and channel data from multiple inputs using a combination of distributed cloud structures and local databases. Under the mentorship of senior engineers, you will gain deep exposure to AI-Driven Automation , creating tools that leverage machine learning to automate the lifecycle of data pipeline creation and validation patterns seamlessly.
Depending on your alignment, you could join teams focusing on Data Platform & Enablement to scale underlying cloud frameworks, or Observability & Operations to build predictive alerting models that capture and fix pipeline issues before they impact the business. Regardless of your focus area, you will maintain data integrity on an automated basis and interact professionally with cross-functional technical leads to translate real stakeholder needs into modern, clean data solutions.

Data Engineer Intern

As an Engineer in the Data Streaming team, you will be responsible for designing, developing, and maintaining real-time data pipelines. Your role involves building scalable streaming applications using Apache Kafka and Spark Streaming to ensure high-speed data ingestion and processing. You will work on integrating diverse data sources into our centralized data platform, ensuring that financial data flows securely and reliably across the bank’s global ecosystem.
You will collaborate with data architects and backend developers to optimize streaming performance and troubleshoot latency issues. A key part of your role will include writing clean, maintainable code in Java, Scala, or Python and managing data schemas. Operating in an Agile environment, you will participate in code reviews, contribute to technical documentation, and help implement monitoring solutions to ensure the health of our production data streams.

Engineer – Data Streaming

As a Data Engineer at Zensar, you will design, develop, and maintain scalable data pipelines using Python and PySpark . You will be responsible for building both batch and near-real-time data processing workflows on Google Cloud Platform (GCP) . Your role involves integrating multiple structured and semi-structured data sources, applying complex transformations, and ensuring data enrichment logic aligns with business goals.
A significant part of your role will focus on Big Data optimization . You will tune Spark jobs for maximum performance, scalability, and cost efficiency while managing datasets at the Terabyte (TB) scale. Collaborating with data architects and platform teams, you will implement logging, monitoring, and error-handling protocols. This position offers a deep dive into enterprise data governance and security standards within a highly regulated environment.

Data Engineer I

Job Description

Skills & Eligibility

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