Top SQL Developer Jobs
The Senior Lead Data Analytics Platform Engineer will design and optimize a high-performance data analytics platform, focusing on scalable data systems and cloud-native architectures. Responsibilities include leading teams, optimizing data pipelines, ensuring data quality, implementing best practices in data governance, and driving innovation in data engineering processes.
As a Sr. Data Engineer at SpaceX, you will develop strategies and tools to evaluate Starlink's growth and effectiveness, work with various engineering teams and external partners, and build software systems to process and analyze large datasets for the Starlink network.
As a Senior Data Engineer at Amperon, you will build and optimize a scalable data stack for energy forecasting, automate data processing and model training, monitor system performance, and enhance data flow efficiency while working with senior team members to address engineering challenges.
As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.
The Data Engineer will manage and optimize data solutions, processes, and database infrastructures, ensuring quality service performance. This role involves analyzing and delivering data for real-time and batch processing, building data pipelines, and implementing cloud data solutions in AWS and OCI.
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The Senior Data Engineer will collaborate with business leaders to design and deliver data products, ensuring data cleanliness and building scalable data pipelines for production. This role requires evaluating data sets to answer business questions and collaborating with various teams to deliver quality data solutions.
As a Data Engineer at Baker Hughes, you will focus on commercially-facing analytics development projects involving large, complex data sets. Responsibilities include implementing data warehouse designs, leading analytics development, and collaborating with cross-functional teams to deliver innovative solutions. Key requirements include proficiency in Python, machine learning techniques, algorithm development, and AI/ML model deployment.
As a Data Engineer, you will enhance and support data-related systems, ensuring data flows reliably from platforms to clients. Responsibilities include improving data pipelines, designing features for the Data Platform, operational support, and collaborating with product and engineering teams for project execution.
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The IAM Data Engineer will develop and maintain IAM infrastructure, focusing on Saviynt IGA and CPAM. Responsibilities include building data pipelines, managing ETL processes, implementing access controls, generating reports, and collaborating with IT to enforce governance policies.
As a Senior Data Engineer, you'll build and maintain data pipelines, databases, and report infrastructures crucial for operational metrics and analytics. You'll ensure data integrity and support analytics needs, empowering teams across the organization with timely and accurate data. Your expertise will help enhance reporting capabilities for both internal operations and clients.
The Data Engineer at CapTech will develop data pipelines and products using cloud platforms like AWS, Azure, and GCP, advise clients on cloud technologies, and work collaboratively to solve complex data problems while ensuring data architecture maximizes client value.
As a Data Ingestion Engineer, you will be responsible for managing data ingestion processes on the Databricks platform, optimizing ETL/ELT pipelines, and ensuring compliance with security guidelines. The role involves using tools like Apache Airflow and Dell Boomi for ingestion and automation, while following SDLC best practices.
The Data Engineer II will design and implement infrastructure for a unified data platform, supporting organizational decision-making. Responsibilities include building ETL pipelines, maintaining data warehouses, analyzing data sources, and collaborating with stakeholders to meet data needs.
The role involves executing data architecture and management projects, transitioning existing data sets to new technologies, leading data analysis using machine learning, managing data ingestion processes, and improving data quality and vendor management, all while collaborating with commercial teams to understand data flow and investment processes.
The Data Engineer at Brillio will focus on building a new data pipeline similar to an existing one to connect backend applications to Sisense for data visualization. Key responsibilities include using Python, SQL, and AWS services for orchestration and management of pipelines.
The Principal Data Engineer at Hypergiant will develop and improve a data service for cloud-based applications, support data modeling, collaborate throughout the software development lifecycle, ensure high-quality code and data reliability, and lead technical initiatives while fostering a culture of continuous improvement.
As an ETL Developer / Data Architect, you will work closely with clients to design and implement BI solutions, focusing on data warehouse architecture, ETL implementation, data modeling, and report/dashboard creation using tools like Tableau and Power BI.
CapTech seeks a Lead Data Architect to develop strategies for data delivery, enhance business value through improved data integration and quality, lead technical teams, and communicate solutions to stakeholders. The role entails advancing data architecture capabilities and partnering with business development for technical demonstrations.
The Senior Data Developer will design and build a data and reporting ecosystem for the CRO organization. Responsibilities include developing BI dashboards, creating ETL pipelines, enhancing data models, and ensuring data quality. The role requires collaboration with stakeholders to deliver business requirements and support data analytics initiatives.
As an IT Data Engineer at Procter & Gamble, you will design and implement data and analytics cloud-based platforms and pipelines, ensuring data is cleansed, transformed, and published effectively. You'll partner with data managers to maintain data quality and leverage coding standards to deliver efficient services in a dynamic team environment.
The Power BI Engineer will integrate and onboard data from MongoDB into Power BI, develop dashboards for cybersecurity, automate data loads with Python, and manage Active Directory integration. Responsibilities also include creating documentation and training materials, while collaborating with teams to ensure project alignment.
The Staff Software Engineer - Data Platform will design and maintain data pipelines and infrastructure, ensuring data quality and reliability while collaborating with cross-functional teams to meet data requirements. Responsibilities include optimizing data processes and supporting analytics initiatives.
As a Junior SQL/Informatica ETL Developer, you will support IT management functions and enhance enterprise business intelligence and analytical capabilities. Responsibilities include SQL data modeling, implementing ETL processes with Informatica, debugging applications, and communicating technical details effectively.
The Principal/Sr. Principal Data Engineer will develop data collection frameworks, administer databases, analyze performance configurations, and create scalable data pipelines while collaborating with functional teams to optimize data processes.
As a Senior Data Engineer, you will lead the development of scalable data infrastructure and real-time systems to handle large-scale raw data. Responsibilities include building tools for data analysis, improving data quality, implementing CI/CD pipelines for data operations, and addressing data requests while collaborating closely with machine learning engineers and data scientists.
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