Top SQL Developer Jobs
The DB2 Systems Programmer will assist in implementing DB2 databases, perform problem analysis, tuning, and data management tasks. Responsibilities include advising on DB2 database design, assisting in migration plans, and providing after-hours support.
As a Lead Data Engineer at Nuna, you will help build scalable data engineering solutions and expand the architecture of a Data Platform. You will work closely with interdisciplinary teams to enhance workflows and improve healthcare products, while also establishing best practices in data engineering and mentorship.
As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
Seeking a Data Engineer to work on a multi-year project to build a clinical data registry platform in the healthcare industry. Responsibilities include managing, optimizing, and expanding data infrastructure to impact patient outcomes positively.
As a Data Engineer at Figma, you will own and scale data pipelines, work with Data Science and Infrastructure teams, and ensure efficient data delivery for various stakeholders. Responsibilities include optimizing data models, establishing best practices, and simplifying complex data-related issues for diverse audiences.
The Senior Data Architect will define and operationalize the data domain strategy, ensuring efficient operating models that align with business objectives. Responsibilities include managing data capabilities, guiding strategic architecture plans, and collaborating on data transformation initiatives. The role demands a strong focus on delivering insights swiftly and adhering to best practices while fostering collaboration across various teams.
As a Data Imports Engineer, you will manage data imports, design and implement ETL processes, and ensure data quality in the EHR system. You will work collaboratively with engineering and product teams to enhance data integration features and resolve related issues while maintaining compliance with healthcare regulations.
The Data Architect will lead the design and implementation of the company's data platform and data lake, ensuring best practices in data management and governance. Responsibilities include developing architectural standards, evaluating the existing data platform, collaborating with business partners for requirements, mentoring team members, and driving data modernization efforts.
Featured Jobs
Looking for a Data Engineer to lead the integration of product, financial, and business systems using SQL, dbt, and Python. Responsibilities include data workflows, data quality, modeling, documentation, collaboration, and data leadership. Requires 5+ years of experience in a SaaS environment and expertise in data engineering tools and cloud services.
The Software Database Engineer and Administrator will design, develop, and administer databases for analytics, web applications for IVR and call center software, and integrations for cloud-based applications. The role includes writing SQL for enhancements and participating in the development of call center analytics systems.
Design, implement, and maintain MongoDB data models and schemas for real-time event-driven processing. Develop and optimize data pipelines using Databricks. Collaborate with software engineers for MongoDB integration and manage CI/CD pipelines. Ensure data security, compliance, and performance optimization for MongoDB databases. Provide support for data migration and integration. Automate data infrastructure provisioning using IaC tools. Modernize legacy functionality into event-driven and business rules orchestrated services.
Experienced Sr Oracle Database Developer with 10 years of experience in Oracle PL/SQL and SQL Server development. Skilled in data integration between business systems, requirements analysis, and data modeling. Proficient in communicating with business users and developers. Familiar with Agile/Scrum process.
As a Staff Data Infrastructure Engineer at Watershed, you'll build foundational libraries and systems for data interactions, focusing on customer needs in combating climate change. You will define tools and frameworks for engineering teams while fostering a customer-obsessed and inclusive culture.
As an Analytics Engineer at Loop, you'll model raw data into clean datasets for analytics, collaborate with data teams, and support data projects, ultimately helping merchants with insights and solutions. Your role will dynamically evolve as the company grows.
As a Data Engineer at Home Solutions, you will create and maintain data pipelines, partner with users to understand data requirements, and develop dashboards and reports using SQL and Python. The role involves automating data integrations and ensuring data storage and monitoring systems are effective.
The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.
As a Senior Data Engineer, you will lead the design and optimization of data infrastructure and pipelines, deliver analytics and machine learning solutions, and mentor junior engineers. The role requires collaboration with cross-functional teams to develop scalable data solutions that meet complex business needs.
The Principal Data Engineer will lead the Global Marketplace Engineering team, guide and mentor engineers, define technical architecture, and ensure alignment with business goals and scalability requirements. Responsibilities include architectural leadership, software craftsmanship, technical documentation, engineering advocacy, project leadership, cross-functional collaboration, innovation and research.
As a Senior Data Engineer on the Enterprise Data Platform team, you will build data pipelines from various data sources, manipulate and govern the data, and make it accessible for PitchBook products. You will also mentor other data engineers and collaborate with various stakeholders to provide analytics and insights.
The Sr. Data Engineer will focus on developing data infrastructure and pipelines, ensuring data accessibility and quality. Responsibilities include integrating data, maintaining database requirements, and analyzing new data sources while working in an agile team environment.
The Senior Data Engineer will design, implement, and maintain data pipelines, ensuring data integrity and best practices. They will collaborate with cross-functional teams on database systems and support R&D projects and production tasks, focusing on database administration and documentation in a secure environment.
As a Data Engineer on the Starlink GNC team, you will build reliable data pipelines, analyze satellite health data, and collaborate on software solutions to enhance SpaceX's operations, while taking ownership of engineering challenges and producing impactful software solutions.
Senior Software Engineers at Snowflake will design, develop, and operate large scale data lake systems. They will define product strategies, ensure operational excellence, and deliver innovation within the open source community, particularly focusing on distributed file systems and data lake challenges.
As a Staff Data Engineer, you will create and manage data pathways, develop self-service mechanisms, and oversee platform ownership of data systems. You are responsible for building data pipelines, coordinating with engineering teams, and supporting analyst data requests, while driving innovation in data ingestion and engineering best practices.
As a Big Data Architect at AiDash, you will enhance and scale data pipelines for satellite imagery and enterprise data, ensuring efficient ingestion, storage, and processing to support business needs. You'll collaborate with data science and engineering teams to tackle challenges and improve data systems.
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