4 of 4 Data Pipeline Jobs in Midlothian

hackajob is partnering directly with Leonardo to hire for this role. Job Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps … infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data ...

largest engineering investments. - Responsible for the systems that ensure accurate, scalable, and efficient accounting across global operations. - Expanding into data analytics and pipeline initiatives using Snowflake, Redis, and Kafka to manage high-volume, real-time data. - Collaborates closely with Product, Operations, and other Engineering teams to deliver … approach. - Build and maintain microservices and event-driven systems to process and distribute large-scale financial data. - Develop data integration and pipeline components that connect systems across Snowflake, SQL Server, and real-time streaming platforms. - Implement and optimize Redis-based caching and data stores ...

systems, including non-deterministic and agentic applications. OptimizeAI systems and workloads for latency, throughput,computeefficiency, reliability, security, and cost. Partner with business, engineering, data, risk, and control teams to take solutions from concept through production deployment and ongoingoperation. Establish engineering standards,mentorengineers,and influencetechnical strategy across teams. Theminimumrequirements … model-driven applications in production. Strongproficiencyin Python anda track recordof developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ ...

deterministic and agentic applications. Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost. Partner with business, engineering, data, risk, and control teams to take solutions from concept through production deployment and ongoing operation. Establish engineering standards, mentor engineers, and influence technical strategy across … production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ ...