Data Engineer Salary at Redis BETA

Data Engineer Cupertino,California,United States Hardware Apple Silicon is looking for an individual who will deliver data-driven insights to develop the next Apple products. We are looking for an individual to help us build and improve our data infrastructure, which includes parsing the semiconductor test data, prioritizing and storing them in the database, and delivering the curated datasets to the engineering teams. **Description** Be a domain expert in the data usage, availability, and structure Improve and enhance database and data pipeline Develop data sources (materialized views, projections) to support reporting and machine learning projects Develop API and other methods to provide data access Collaborate with semiconductor product and test engineering teams to understand data needs and develop data delivery solutions Work with infrastructure teams, including DBA & IT, to ensure accurate functioning of all the data pipelines and the health of data warehouse **Minimum Qualificat

About Replit Replit is on a mission to onboard the next billion software creators and AI has only accelerated things. It's the evolution of no code/low code: AI native coders. 30 million people have signed up to build applications, internal tools, and workflows on Replit - many of them with zero coding experience. Join the biggest change in technology since the arrival of the personal computer. Join us and help build software faster. About the role: As a Data Engineer, your job is to facilitate data analytics and measurement at scale at Replit. You'll work with product and business teams to help build data pipelines and transformations to enable us to understand and measure product usage. You'll also work to make our data scientists and analystsand the business decisions that depend on them more powerful and efficient. You will...: Build Spark pipelines using Databricks to help get product data into GCS and BQ from BigTable. Build Airflow pipelines leveraging data from Spark pipelines

Role: Data Engineer Location: Santa Clara/ Sunnyvale, CA- Day 1 onsite Duration: Contract Role Description: Must have Skills : 1. Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc. Azure experience is preferred over other cloud platforms. 2. 10 + years of proven experience with SQL, schema design and dimensional data modelling 3. Solid knowledge of data warehouse best practices, development standards and methodologies 4. Experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.. 5. Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL. 6. Be an independent self-learner with "let's get this done" approach and ability to work in Fast paced and Dynamic environment. 7. Excellent communication and teamwork abil

Data Engineer 1 Year Contract Hybrid (2 Days Onsite) $75-85/hr We are partnered with a leading beauty retailer, delivering innovative and personalized beauty experiences to their customers. We are looking for a highly skilled Data Engineer to join the team and help enhance our data platforms and analytics capabilities. You will work with cutting-edge technologies to process large volumes of data, integrate machine learning models, and build scalable data pipelines that will power our e-commerce platforms and improve customer experiences. Role Overview As a data engineer, you will play a key role in shaping and implementing our data strategy. You will be responsible for leading the development and deployment of data processing pipelines, driving machine learning model integration, and ensuring high-quality, scalable, and reliable data platforms. Key Responsibilities Drive the design, implementation, and optimization of data pipelines for heavy-volume data processing, including ETL workf

Description: We are looking for a Data Engineer with 5+ years of experience who will be responsible for developing, optimizing, and maintaining data pipelines and infrastructure. Your expertise in SQL and Python will be instrumental in managing and transforming data, while your familiarity with cloud technologies will be considered an asset as we explore opportunities to enhance data engineering processes. Responsibilities: Data Pipeline Development: Design, implement, and maintain end-to-end data pipelines to efficiently extract, transform, and load (ETL) data from diverse sources. Ensure data pipelines are reliable, scalable, and performance-oriented. SQL Expertise: Write and optimize complex SQL queries for data extraction, transformation, and reporting. Collaborate with analysts and data scientists to provide structured data for analysis. Cloud Platform Experience: Utilize cloud services to enhance data processing and storage capabilities. Work towards the integration of tools into

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working

Walmart Rate: $60/hr C2C ANY VISA Location: Sunnyvale, CA **HYBRID 2 days per week** No H1Bs Spark, PySpark, Scala are the main skill sets GLIDER TO HIRE - NO INTERVIEWS!! Description: Designs, develops, and implements Scala, PySpark, Spark eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.

As the Founding Data Engineer, you will play a pivotal role in establishing and building out the data organization within the Finance and Strategy department. Your primary responsibilities will include building a data warehouse, developing customer reporting systems, transforming data, and leveraging AI to solve business problems. This role requires a self-starter with a strong background in Microsoft tools and a passion for data visualization. Key Responsibilities: Design, develop, and maintain a scalable data warehouse to support business intelligence and analytics needs. Create and implement data transformation processes to ensure data accuracy and consistency. Develop and maintain customer reporting systems using Power BI and other data visualization tools. Leverage AI and machine learning techniques to analyze data and provide actionable insights. Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. Ensure data int