Top SQL Developer Jobs

The Data Platform Engineer will join the Digital Experiences team to deliver cloud-native Big Data solutions, collaborating with engineers, product managers, and designers. Responsibilities include developing tools for data management, building high-performance solutions, writing efficient code, and contributing to the overall engineering efforts within a multi-disciplinary team following Agile and DevOps practices.

The Senior Data Engineer will enhance May Mobility's data infrastructure by building data pipelines, creating automated metric systems, and developing UIs and APIs for data access. The role focuses on providing efficient data management solutions that support the overall operations and decision-making within the company.

As a Senior BI Engineer, you will design and implement data models, develop ETL processes, build and maintain data warehouses, and create BI infrastructure. You will collaborate with various teams to translate business requirements into technical solutions and ensure optimal performance of data pipelines.

As a Principal Engineer on the Data Platform team at Nextdoor, you will drive product development, machine learning, data science, and provide world-class data infrastructure and tools. Responsibilities include envisioning and building a scalable data platform, participating in all phases of the software development lifecycle, and developing partnerships with key stakeholders. Requires 7-10 years of experience in data infrastructure at petabyte scale, knowledge of SQL, Spark, computer science fundamentals, software engineering, data science, machine learning, cloud technologies, and strong communication skills.

The Software Developer will be responsible for developing, designing, and deploying database architectures, integration jobs using SQL Server and Access, and maintaining programming code. The role involves implementing requirements using various software solutions and ensuring quality control through technical and process documentation.

As a Data Ops Engineer, you will support project teams by managing and monitoring database and cloud environments, provide user access while ensuring security, and participate in an on-call rotation. You will have diverse database development responsibilities with a focus on Python or C# and related technologies.

Seeking a skilled Data Engineer with expertise in Logstash and Databricks to manage and optimize clients' data pipelines for efficiency and reliability. Collaborate with data scientists and analysts, troubleshoot issues, ensure data security and compliance, and stay updated on data engineering best practices.

The Senior Data Architect will oversee and implement data architecture, focusing on improving data availability, accessibility, quality, and governance. Responsibilities include developing principles for the Enterprise Analytics Platform and creating enterprise information management requirements such as data models and standards. Excellent communication skills are necessary for internal negotiations and ensuring project accountability.

As a Data Engineer at Dashlane, you will design and maintain data pipelines and infrastructure, utilizing AWS and open-source tools. You will collaborate with various stakeholders to ensure data integrity, create scalable solutions for data processing, and leverage advanced technologies to extract insights from data to assist in decision-making.

As a Senior Software Development Engineer in the Data Platform team, you will design and build efficient data transformations and scalable big data systems, establish best engineering practices, and collaborate with both technical and non-technical stakeholders to support the company's core products.

As a Lead Data Engineer, you will design and maintain data pipelines using cloud technologies, work closely with clients to understand requirements, and provide technical leadership. You will collaborate with teams, ensure solutions meet client needs, and stay updated on the latest technologies.

The Data Architect at Marvell will design, implement, and manage robust and scalable data architectures that support data engineering and science projects. Responsibilities include developing data models, optimizing data workflows, managing data solutions on AWS, enforcing data governance, and collaborating with various teams to meet business needs while mentoring junior members.

The Senior Data Engineer will be responsible for designing and developing a robust data ingestion platform utilizing Azure technologies. Duties include creating complex data pipelines, writing SQL queries, ensuring data quality, and collaborating with teams for data modeling and analysis while adhering to compliance policies and practices.

As a Freelance Data Architect at The Motley Fool, you will optimize and re-architect the Snowflake reporting layer, enhance performance, and improve cost efficiency. Collaborate with data engineers and analysts to implement efficient data models, enhance query performance, and adopt best practices for data handling and transformations.

The Data Engineer at ADVANA will collect, ingest, validate, and optimize data for business analysis. Responsibilities include building data pipelines, monitoring their performance, troubleshooting issues, and collaborating with analysts and product leads to meet data requirements. The role also involves developing scalable data stores and evolving solutions through automation.

The Senior Data Engineer at Varsity Brands will design, build, and manage data pipelines, working with stakeholders to identify data sourcing needs and provide scalable data solutions while ensuring efficient pipelines and troubleshooting issues as they arise.

As a Data Ops Engineer, you'll design and maintain data infrastructure, develop ETL pipelines, integrate machine learning models, and automate data operations. You'll collaborate with cross-functional teams to optimize data capabilities, monitor systems for reliability, and document processes while driving innovation in data strategies.