Top Senior Analytics Engineer Jobs

The Senior Data Engineer defines technical approaches for client projects, evaluates modeling strategies, and conducts internal R&D in applied machine learning and analytics, with a strong emphasis on Python-based solutions and mentorship of junior engineers.

Design and build a next-generation performance and analytics platform using OLAP/columnar technologies and cloud-native services. Work across the full software lifecycle to optimize analytical queries, implement developer automation and automated tests, and collaborate with design and strategy to deliver scalable, high-performance investment analytics.

Develop and implement scalable data solutions, automate workflows, build databases and applications, perform data mining, NLP, and machine learning on structured and unstructured data, create dynamic visualizations and reports, write queries and ETL pipelines, and consult with government stakeholders to improve data-driven decision making and processes.

As a Senior Software Engineer at AdQuick, you will develop data-intensive analytics systems, manage data pipelines, and create visualizations to drive insights for OOH advertising.

As a Senior Software Engineer, you will innovate in open-source analytics, build scalable systems, and enhance interoperability within the data lake ecosystem.

Deliver end-to-end features for the Core Analytics product: design, build, and ship scalable, performant backends and user-facing experiences; optimize performance and scaling; mentor engineers and provide technical leadership.

Lead design and implementation of Sentry's event analytics infrastructure to scale petabyte-scale time-series data. Improve search/storage performance and reliability, architect and automate services, make technical trade-offs, maintain code quality, review designs, and collaborate across Product and Engineering to deliver developer-friendly data services.

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.

Lead design and delivery of data platform and analytics solutions, maintain data lake and catalogs, mentor ACE team, drive ROI-focused analytics projects, and enable data-driven decision-making across the business.

The role involves designing, developing, and deploying AI/ML solutions, leading a team, and collaborating across departments to drive innovation and data effectiveness.

The Senior Data Engineer will develop and maintain data integration solutions and pipelines, optimize data warehouses, and ensure data quality and integrity while collaborating with cross-functional teams.

The VP Senior Software Developer leads analytics tool development for quants and portfolio managers, providing technical leadership and mentoring while designing, building, and deploying scalable solutions.

The role involves designing, developing, and maintaining integration processes using Dell Boomi or Workato, managing implementations, and collaborating with IT partners to meet client requirements.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

Seeking a Senior ETL/Informatica Developer with 5+ years of experience in production support and BI applications development, specifically Financials and HR Analytics. Knowledge of Data Warehousing and data modeling is essential. Cognos experience is a plus.

The Senior Data Engineer will design and implement data pipelines, ensure data quality, and collaborate with stakeholders to advance data initiatives.

The Senior Data Engineer will design, implement, and maintain the bank's data platform, develop data pipelines, ensure data quality, and collaborate across teams to enhance enterprise data initiatives.

The Senior MLOps Engineer will enhance and maintain centralized AI platforms, ensuring high availability, integrating advanced AI tools, and automating processes. The role emphasizes collaborative problem-solving and requires extensive experience in cloud environments and machine learning model management.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

Develop ETL processes using SSIS, integrate financial applications, and manage data flow between back office and downstream systems.

Design, develop, and deploy cloud-based analytic software using big data technologies. Collaborate in Agile teams to deliver high-performance solutions.

Data & Analytics Engineer at MojoTech, working with clients to define data requirements and deliver analytics solutions and pipelines. Requires 3+ years experience.

Develop scalable data solutions and algorithms, mentor junior engineers, and enhance data models for business needs in a collaborative environment.

The Senior Analytics Engineer will develop data models and pipelines, partner across teams to enhance decision-making, and provide analytics support for business needs.

The Senior Analytics Engineer will develop data models, build data pipelines, and collaborate with teams to optimize data systems for better business decisions.