Top SQL Developer Jobs

As a Principal Engineer on the Data Platform team, you'll architect and build a scalable data platform, driving the development of products while engaging in the software development lifecycle. You'll collaborate with stakeholders, oversee data governance, and ensure data infrastructure is efficient and cost-effective in a fast-paced environment.

The Data Engineer II will collaborate with business stakeholders to develop quality data solutions, ensuring data integrity and availability. Responsibilities include designing and implementing data platforms, performing data cleansing and validation, analyzing data models, managing metadata, and troubleshooting data-related issues. They will also identify opportunities for efficiency and business value optimization.

The Senior Architect of Data Engineering will lead technology teams to create impactful solutions using Google Cloud Platform and advanced data technologies. Responsibilities include advising clients, delivering large-scale data platforms, mentoring team members, and ensuring high-quality standards are met throughout project execution.

As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.

As a Principal Data Engineer, you will lead data engineering initiatives, architect integrated data platforms, maintain ETL pipelines, and utilize AWS services. Collaborating with various teams, you will ensure data efficiency and regulatory compliance while mentoring fellow engineers and optimizing data processes using advanced statistical methods and technologies like Docker, Snowflake, and Spark.

The Senior Data Engineer will design, implement, and maintain backend data processing pipelines for the company's SaaS product. Responsibilities include leading complex projects, optimizing data pipelines, and providing mentorship. This role requires strong expertise in data engineering, Python programming, and cloud computing.

The Lead Database Engineer will design, model, and optimize OLTP databases and work on developing data models for relational and NoSQL databases. Responsibilities include collaborating with tech leaders on data strategies, developing real-time data movement pipelines, and ensuring data governance and security standards are implemented.

Compass is seeking a Senior Data Engineer to lead key data initiatives, collaborate with various teams, develop scalable data pipelines, and optimize data systems. Responsibilities include operationalizing data pipelines, managing database techniques, ensuring data quality, and providing on-call support. Qualifications include 7+ years of experience in data pipeline engineering, expertise in Python, PySpark, SQL, and AWS, and experience with tools like Databricks and Airflow.

The Senior Developer will design, develop, and maintain Master Data Management solutions. Responsibilities include implementing MDM solutions, ensuring data accuracy, optimizing data models, and integrating with subscribing systems using Azure technologies. The role requires collaboration with stakeholders to meet business requirements and provide training to end-users on MDM systems.

The Senior BI Engineer will develop and optimize data pipelines and dashboards for People Analytics at Coinbase, working with various teams to improve data collection and facilitate informed decision-making.

The Principal Data Engineer will design and optimize scalable data infrastructure, develop ETL pipelines, manage large datasets, and improve data availability and quality in the cloud. Responsibilities include building data quality assurance steps, automating pipelines, and leading project development while mentoring team members.

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.

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.

The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.

As a Senior Data Engineer, you will develop and enhance data infrastructures, improve data quality, and design systems for performance and reliability. You'll partner with product managers and data teams, build batch and streaming pipelines, and ensure effective data governance. You will also drive technical projects and optimize workflows.

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.