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As a Data Engineer, you will design and implement data pipelines using AWS services and other tools, improve data frameworks, troubleshoot data quality issues, and automate tasks. Proficiency in Go, Python, and SQL is crucial, along with experience in CI/CD and cloud technologies.
The Data Engineer will design and implement data pipelines using various cutting-edge AWS services. Responsibilities include troubleshooting data issues, developing in-house automation tools, and collaborating with engineering teams to improve data tools and frameworks. Prior experience with Big Data, SQL, and programming in Python, Go, and other languages is required.
As a Data Engineer III, you'll design and implement data pipelines for AI/ML solutions, collaborating with teams to create analytical infrastructure. You'll monitor data models, manage cloud architectures, and enhance enterprise data protection while utilizing SQL and NoSQL databases effectively.
As a Principal Data Engineer at Atlassian, you'll build and maintain data lakes, optimize data pipelines, and develop micro-services while collaborating with various teams. Your role involves making data ingestion faster and more efficient, driving large engineering efforts, and enhancing self-serve capabilities to support business growth.
The Data Engineer will develop scalable ETL pipelines, manage data warehousing solutions, ensure data quality, and maintain data security practices. They will work closely with various stakeholders to deliver timely datasets and optimize data delivery while adhering to governance principles.
As a Data Engineer Intern at Atlassian, you will assist the Data Engineering team in defining metrics, collecting data, architecting and modeling data, ensuring data quality, and generating insights for product teams. You will work under the guidance of experienced Data Engineers and gain practical experience in data engineering roles.
The Data Engineer at UL Solutions will develop ETL/ELT pipelines, manage data ingestion and egress frameworks, and collaborate with cross-functional teams to enhance the data maturity of the organization. The role emphasizes continuous improvement and innovative data solutions.
As a Principal Data Engineer, you'll advance BlackLine's Enterprise Data Platform, ensuring data quality, governance, and security. You'll architect solutions for complex design problems, mentor developers, and manage projects effectively while staying updated on industry trends and best practices in data engineering.
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The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.
The Data Engineer is responsible for designing, implementing, and maintaining the data infrastructure to support business intelligence and analytics. Key tasks include developing scalable ETL/ELT pipelines, optimizing data workflows, and ensuring data quality while collaborating with cross-functional teams.
As a Data Engineer at Snap Inc, you will build and maintain data pipelines, work with stakeholders across various departments, ensure data quality, and support data consumption portals. You will prioritize and handle requests for reporting needs and contribute to data architecture.
As a Data Engineer at Magna, you will design, develop, and maintain backend systems and APIs. Your role involves leveraging cloud platforms for deployment and ensuring high-performance and secure application infrastructure, including database management and collaboration with cross-functional teams.
As a Data Engineer at Peloton, you will build and maintain data pipelines to support analytics and reporting across various business verticals, collaborate on best practices for the data platform, and implement ingestion pipelines using Apache Spark and Hudi.
As a Data Engineer in Capco’s Data Team, you'll design data systems, implement analytics reporting, and create effective data-driven insights to support business transformations.
The Data Engineer will build and manage analytical data models and pipelines to support various business needs across Atlassian. Responsibilities include owning problems end-to-end, developing technical solutions for data ingestion and processing, and collaborating with teams to adapt to evolving requirements.
The role focuses on creating Vehicle Communication Interfaces (VCIs) for low-volume production vehicles. Responsibilities include comprehending manufacturing data, gathering service programming requirements, updating databases using SQL, and assisting technicians with programming issues.
The Data Engineer is responsible for developing and implementing data solutions, ensuring applications meet business requirements, and supporting projects utilizing development life cycle practices. Key responsibilities include coding integrated solutions, testing coverage, peer reviews, and accessing various data systems. The engineer will also analyze data to create essential business metrics and help troubleshoot any issues.
As a Data Engineer Architect, you will design, implement, and manage data systems for intelligence needs in a classified environment. Your responsibilities include solving complex problems, applying advanced engineering methods, and ensuring compliance with classification guidelines.
The Data Engineer will develop scalable data ETL pipelines, manage data warehousing solutions, ensure data integrity, and implement data security practices. This role involves collaboration with stakeholders to provide high-quality datasets and effective communication of technical concepts.
As a Data Engineer, you will leverage diverse data sources to assist stakeholders in product development and decision-making. Responsibilities include building scalable data pipelines, integrating various technologies, and improving data availability and consistency. You will work closely with business teams and implement best practices for data management.
The Principal Data Engineer will enable a world-class engineering practice at Atlassian by developing backend systems, building scalable data pipelines, and designing data models. Responsibilities include managing data solutions, supporting business decisions, and fostering a data-driven culture within the organization.
The intern will gain insights into the grocery retail industry by supporting data analytics projects, focusing on data cleansing and report building using Power BI, while learning essential business skills through mentorship and project work.
The Senior Cloud Data Engineer will design, develop, and optimize cloud-based data solutions using SQL, AWS, and Snowflake. Responsibilities include building data pipelines, ensuring data accuracy, mentoring junior engineers, and collaborating with cross-functional teams to meet technical requirements.
As a Senior Manager of Data Engineering at Capital One, you will lead a team to develop and implement data solutions, working with machine learning and cloud technologies. You will collaborate across teams to solve complex problems and enhance customer experiences while ensuring rigorous coding standards. Your role includes mentoring other engineers and keeping up with technological trends.
This role involves leveraging technical expertise to discover analytical opportunities, conduct diagnostic discussions, and translate complex business issues into actionable solutions. The engineer will build custom solutions, engage with enterprise clients, and implement systems to enhance operational efficiency.
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