Top SQL Developer Jobs

The Senior Data Engineer - Datalake analyzes, designs, and develops complex systems and processes. Responsibilities include creating application systems design documents, fulfilling end-user requests, leading cross-functional initiatives, and delivering quality solutions on time. The role demands strong collaboration and problem-solving skills.

The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.

The Senior Data Engineer will design and maintain scalable data pipelines, collaborate with stakeholders to optimize data solutions, ensure data integrity, and implement best data management practices while leveraging various tools and technologies.

Lead and mentor a high-performing data engineering team, develop and maintain scalable data platforms, optimize SQL queries, implement real-time streaming data pipelines, utilize cloud services like AWS, and ensure data compliance with regulations.

As a Staff Data Engineer, you will develop scalable systems to impact customer acquisition and retention, take ownership from development to deployment, and drive improvements for the platform. You'll collaborate with teams on data-intensive applications to support marketing efforts and optimize growth strategies.

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 Data Engineer will design, build, and support scalable data solutions, ensuring they meet the needs of global teams. The role includes writing clean code, developing distributed systems, and collaborating with business partners in an agile environment.

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.

As a Senior Data Engineer, you will design, develop, and optimize data infrastructure and pipelines. You will lead the translation of complex business requirements into scalable data solutions, mentor junior engineers, and ensure high-quality reporting and analytics.

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.

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 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.

The Data Engineer at Regions is responsible for designing and building data structures, processes, and pipelines to deliver analytical and operational data assets. This role involves collaborating with technical partners to ensure data quality, supporting data consumers, and providing insights to aid in business decision-making.

As a Sr Data Engineer, you will design and develop scalable data solutions, mentor peers, and enhance data infrastructure. You'll collaborate across teams to implement best practices in data governance and manage complex workflows.

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 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.