As an Azure Data Engineer you can expect to…

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Data Engineer in LATAM.

We are seeking a highly experienced Senior Data Engineer who thrives in a collaborative, high-performance environment and is passionate about building robust, scalable data systems. You will work at the core of the engineering team, designing and maintaining complex backend systems and data pipelines that power mission-critical applications. This is a hands-on position involving everything from architecture to deployment and performance tuning. If you enjoy working with big data technologies, functional programming, and solving technical challenges across cloud environments, this is your opportunity to drive impact in a fast-paced, product-oriented team.

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About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Platform Lead in New York/Atlanta.

This role is ideal for a technical leader passionate about building robust, scalable data infrastructure to support real-time analytics, automation, and AI applications. As the Data Platform Lead, you’ll architect and guide the development of advanced data pipelines that integrate real-time and batch processing from various data sources, including IoT and EHR systems. You’ll collaborate closely with engineering, cloud, and healthcare technology teams to ensure data integrity, security, and performance across the platform. This is a mission-driven opportunity to reshape healthcare operations and patient outcomes through innovative data solutions.

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Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.

Key Responsibilities:

InfyStrat is seeking a dedicated Data Engineer to join our data team and contribute to the development and maintenance of our robust data infrastructure. In this role, you will be responsible for designing, constructing, and optimizing data pipelines that ensure the seamless flow of data across our systems. You will work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide solutions that meet those requirements. The ideal candidate will have a strong background in data engineering principles and practices, along with experience in modern data processing tools and technologies. At InfyStrat, we believe in fostering a culture of innovation and collaboration, where your contributions will have a meaningful impact on our business and data strategy. If you are passionate about building data solutions and eager to grow your career, we invite you to apply.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Lead Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Apache Airflow.

Key Responsibilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer - Data Engineering in India.

This role offers an exciting opportunity for a seasoned data engineer to design, build, and optimize robust, scalable data pipelines that support AI-driven analytics and large-scale data processing. You’ll work with technologies such as Apache Spark, Kafka, and Databricks to develop real-time and batch solutions, integrate machine learning models, and contribute to the company’s growing data infrastructure. Collaboration with cross-functional teams including data science and product engineering will be key as you build systems that drive innovation and performance across a global user base.

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About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Software Engineer, ML Infrastructure in Canada.

This role is ideal for a data-focused engineer passionate about building scalable infrastructure to support machine learning and robotics at scale. As a key member of the ML Infrastructure team, you will help develop the tools and systems that enable robust ML model training, data curation, and real-time inference. You’ll collaborate with autonomy engineers, data scientists, and operations teams to streamline data workflows, enhance training efficiency, and ensure the reliability of ML services. This is a great opportunity to work on cutting-edge robotics in a fast-moving environment where AI meets the real world.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an AI Architect in United States.

This is a high-impact opportunity for a senior-level AI expert with hands-on experience deploying machine learning and natural language processing systems at scale. The role involves architecting and implementing production-grade AI solutions, especially within healthcare environments where data privacy and compliance are critical. You will collaborate with product, engineering, and leadership teams to shape AI strategy, develop scalable models, and guide the integration of AI across the organization. If you thrive on transforming AI concepts into real-world systems that deliver measurable value, this is the role for you.

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About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Software Engineer, ML Infrastructure based in Canada.

In this role, you'll join a fast-paced, cross-functional team building the infrastructure that powers the future of AI-driven robotics. You'll work on scalable systems to process and manage vast amounts of sensor and training data, enabling high-performance ML workflows. From optimizing data pipelines and automating workflows to integrating with annotation tools and supporting robust CI/CD practices, you’ll play a critical role in accelerating the development and deployment of machine learning models. This is a unique opportunity to help shape the technical foundation of cutting-edge autonomy systems in a collaborative and mission-driven environment.

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