Search the 19 jobs at Blend360

Senior Data Engineer role at BLEND360 focusing on leading technical teams and building applications using microservice architecture. Requires strong experience with Python, FastAPI, and microservices principles. Opportunity to work with cutting-edge technologies.

The Gen AI - Data Engineer position at BLEND360 requires proficiency in Pydantic and FastAPI, experience with containerization technologies and CI/CD pipelines, knowledge of API design and microservices architecture, familiarity with monitoring and logging tools, and understanding of security best practices. The role also involves leading technical teams, building applications using microservices, and working with Retriever models and vector databases.

Full stack React developer responsible for designing and building client-facing web applications. Collaborates with analytics and data science teams to implement front-end solutions. Requires 6+ years of web development experience and proficiency in React, Python, HTML, CSS, and JavaScript.

As a Senior/Lead Data Engineer at BLEND360, you will be responsible for developing data pipelines, optimizing data infrastructure, and collaborating with stakeholders to deliver exceptional data solutions. You will work with leading technologies such as Python, Scala, Java, SQL, Hadoop, Spark, and cloud platforms like AWS, Azure, and GCP.

Join BLEND360 as a Senior/Lead Data Engineer, responsible for developing data pipelines, optimizing data processing, collaborating with stakeholders, and staying updated on data engineering technologies. Work with Python, Scala, Java, SQL, Hadoop, Spark, AWS, Azure, and GCP to deliver exceptional data solutions for Fortune 500 clients.

Looking for a full stack React developer to design and build client-facing web applications, with a focus on the front end. Responsibilities include hands-on development using React and Python, building appealing visual designs, managing databases, testing software, creating mobile-responsive designs, and collaborating with data scientists and analysts. Required qualifications include 6+ years of web development experience, proficiency in React, Python, HTML, CSS, JavaScript, and knowledge of common stacks. Degree in Computer Science, Data Science, or related field is required.

Full stack React developer responsible for designing and building client-facing web applications. Must have experience in React, Python, and front-end development. Collaborate with analytics and data science teams on projects.

Lead Snowflake Engineer responsible for designing, implementing, and maintaining Snowflake data warehouse. Manage a team of data engineers and ensure successful delivery of projects. Strong expertise in Snowflake architecture, design, and optimization required.

Looking for an experienced Snowflake Engineer to design, implement, and maintain Snowflake data warehouse. Manage a team of data engineers and ensure successful project delivery. Collaborate with stakeholders and optimize data processing.

Blend is seeking a Software Engineer to develop and maintain web applications, manage data integrations, and provide IT support. The ideal candidate will have 4+ years of experience in full-stack development, RESTful and SOAP API integration, and proficiency with tools like Workato.

Seeking a talented Data Scientist to work on high-impact projects for a client in the payments domain, focusing on Generative AI (GenAI) and recommender systems. Responsibilities include designing and implementing GenAI architectures, developing recommender systems, analyzing large datasets, and staying updated with the latest GenAI trends.

Seeking a highly skilled Senior Data Scientist with expertise in Dataiku, machine learning, and data science to lead a key project in the Supply Chain domain. Responsibilities include designing and deploying machine learning models, collaborating with stakeholders, and mentoring junior data scientists.

Develop innovative Qlik Sense applications, dashboards, and reports. Collaborate with stakeholders to gather requirements and implement best practices for frontend development. Optimize application performance and conduct thorough testing.

Seeking a skilled BI Engineer with 6+ years of Power BI development experience to design, develop, and implement impactful data visualization solutions. Responsibilities include developing automated BI products, designing reporting applications, and collaborating with cross-functional teams in an agile environment.

Looking for an experienced Data Scientist specializing in forecasting to develop accurate forecasting models and deliver actionable insights. Responsibilities include developing forecasting models, analyzing historical data, collaborating with cross-functional teams, and staying current with forecasting methodologies.

Seeking an experienced Snowflake Engineer to design, implement, and maintain a Snowflake data warehouse. Responsibilities include architecture design, ETL pipelines development, team management, and ensuring data security compliance. Requires Bachelor's degree, 5+ years of data engineering experience with at least 2 years in Snowflake, proficiency in SQL and programming languages, and familiarity with cloud-based data platforms.

Seeking a dynamic and experienced Data Engineering Manager to lead a team of data engineers in designing, developing, and implementing data pipelines. Must have expertise in Hadoop, Python, Scala, Spark, SQL, DBT, Airflow, and Big Data solutions.

Maintain and extend data science pipelines in AWS, focusing on infrastructure as code. Provide guidance to data scientists, research optimization opportunities, and collaborate on project improvements. Minimum 5 years DevOps experience in AWS Cloud with at least 2 MLOps projects using Sagemaker. Must have expertise in MLOps best practices, CloudFormation scripts, Python, Docker image building, and experience with AWS services and Github.

Join our Data Engineering team to develop innovative data solutions using leading technologies like Python, Scala, Java, SQL, Hadoop, Spark, AWS, Azure, and GCP. Collaborate with stakeholders to optimize data infrastructure for performance and reliability. Bachelor's degree in Computer Science or related field and 5+ years of experience required.