Top SQL Developer Jobs
The Senior Data Engineer will design and create infrastructure for real-time and batch analytics pipelines, facilitate best practices for data management, and collaborate across teams to optimize data solutions. Responsibilities include writing ETL processes, monitoring data pipelines, and enhancing data discovery to improve overall platform quality.
As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.
The Senior Data Engineer at Compass will develop and operationalize scalable data pipelines and manage complex datasets. Responsibilities include improving data integrity, collaborating with stakeholders, and providing on-call support. Candidates should possess strong experience in SQL, Python, and AWS, along with significant expertise in data pipeline orchestration.
As a Lead Data Engineer at 84.51°, you will build and support big data solutions while collaborating with data scientists and product teams. Responsibilities include designing cloud-based solutions, conducting testing, mentoring junior engineers, and driving process improvements. You will engage in Agile practices and work with various technologies to enhance data capabilities.
As a Senior Database Engineer at Strava, you will work on infrastructure tools to enhance the platform's reliability and scalability. Responsibilities include developing automated solutions, migrating databases, and supporting engineering teams to boost product development efficiency. You will also be involved in enhancing disaster recovery and contributing to the Kubernetes ecosystem.
The Data Engineer will develop data pipelines and products on AWS, Azure, or GCP, advise clients on cloud resources for data processing, and collaborate with users and developers to enhance data architecture and maximize client data value.
This role involves designing and managing scalable data architectures using Azure Databricks and related Azure data technologies. Responsibilities include implementing data lakehouse solutions, ensuring data quality and governance, optimizing workflows, and collaborating with cross-functional teams to translate business requirements into technical designs.
The Data Engineer/Architect will design, build, and maintain data infrastructure and pipelines. Responsibilities include optimizing ETL processes, managing data warehouses and lakehouses, utilizing Azure and Snowflake, and collaborating with stakeholders to deliver data solutions.
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The Mid-Level Database Engineer responsible for technical expertise in database design, development, and implementation. Duties include managing database access, optimizing database structure, ensuring security, and conducting data analysis using MySQL and other software tools.
The Data Engineer will develop, maintain and optimize ETL processes, write optimized code for large datasets, conduct data analysis, implement data processing systems using SQL and Python, collaborate with teams for data requirements, ensure data quality and security, monitor data infrastructure performance, and provide ongoing support for ETL tasks.
The Database Engineer 2 at Themis Insight will provide technical expertise for database design, development, implementation, data flow, and analysis. Responsibilities include leading development of database structures, parser software, loading software, and supporting Python based ReST endpoints and microservices.
As a Senior Data Engineer, you will design and implement scalable data pipelines, enhancing our data engineering processes. Collaborate with teams to deliver high-quality data solutions and contribute to data modernization efforts.
Seeking a Data Engineer to design, develop, test, and deliver data pipelines and integrations for clients, create product-based solutions, advise on technology development, and evaluate new technologies. Responsibilities include collaborating on data requirements, developing ETL processes, implementing infrastructure automation, ensuring data quality, designing database schemas, writing SQL queries, and monitoring data pipelines. Requires a Bachelor's degree in Computer Science, 3-5+ years of data engineering experience, strong Python skills, familiarity with database systems, cloud platforms, and containerization technologies.
As a Senior Data Engineer at Mozilla, you will focus on the Analytics Engineering team, designing and maintaining scalable data models and ETL pipelines, improving data infrastructure, and ensuring data quality and compliance. You'll collaborate with data scientists and other engineers to support data-driven decisions and improve access to data across the organization.
As a Principal Data Engineer at Material Bank, you will design scalable database systems for an eCommerce catalog, emphasizing BOM management and decentralized data ownership. Responsibilities include creating data models, developing ingestion pipelines, and ensuring data quality across multiple platforms. You will also lead the development of a self-serve data infrastructure for domain teams to autonomously create and manage data products.
As a Data Engineer, you will collaborate with scientists and software developers to design, develop, test, and maintain programs for NCBI's biomedical data resources. You will focus on implementing bioinformatic algorithms and developing cloud-ready tools and pipelines for managing large genetic datasets effectively.
The Sr. Data Engineer will design, code, and maintain data pipelines, ensuring data is clean, processed, and harmonized from various sources. Responsibilities include implementing scalable data pipelines using ETL, optimizing data architecture, and utilizing cloud technologies to meet business objectives.
The Principal Database Administrator will manage and improve database environments, particularly PostgreSQL and Aurora-PostgreSQL, focusing on performance, scalability, and availability. This role involves administering databases in cloud infrastructure, collaborating with engineering teams, ensuring security, and supporting software development with complex queries and optimization.
The Senior Data Engineer will design, code, and maintain data pipelines, ensuring efficient data processing and analysis. Responsibilities include architecting scalable pipelines, optimizing data storage, and leveraging cloud technologies to support business objectives.
Join Nagarro as a Staff Engineer focusing on SQL and DBA tasks. Collaborate with teammates to solve challenges and take solutions to the next level.
The Senior Principal Engineer, Data Infra will enhance data consumption across Cardlytics by collaborating with data science and analytics teams to improve workflow efficiencies, conducting infrastructure audits, developing proof of concepts, optimizing data infrastructures, and leading transitions to new technologies.
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.
The Data Engineer III is responsible for architecting and maintaining scalable tooling and infrastructure for data management, including building automated data pipelines and managing data storage. The role involves collaborating with Data Scientists for model improvements and ensuring data quality and availability, while also coaching teams on data-driven decision making.
The Data Engineer will analyze datasets from various sources to ensure accuracy, automate ETL processes, and support traders in generating insights. The role requires programming skills, SQL experience, and the ability to communicate findings effectively.
The Senior Data Engineer will work with data warehousing team to transform transactional data into datasets for reporting and analytics. Required skills include ETL development, database development, data integration, and strong SQL experience. Experience with large complex data systems, software administration, and ability to learn new tools quickly is crucial.
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