Senior Data Analyst to own analytical workstreams, build data pipelines, deliver reporting and mentor junior analysts within Ten’s technology department.
Compensation
A competitive salary depending on experience
Responsibilities
Own analytical workstreams from requirement to delivery
Evolve analytics and engineering standards
Contribute to data platform roadmap
Design, build and maintain data pipelines and models
Deliver business reporting, dashboards and analytical products
Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. You will independently shape analytical solutions, establish shared standards, and turn business priorities into AI‑enabled decision support on our Databricks platform.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Shape the analytics roadmap with Finance and GTM leaders, prioritizing high‑impact products and resolving competing requirements.
Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions.
Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability.
Develop conversational analytics and AI‑enabled workflows, including Databricks Genie, grounded in trusted business context.
Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality.
Requirements
Bachelor’s degree in computer science or a related technical or quantitative field
Microsoft Fabric Engineer to support and evolve a strategic, enterprise-wide data and analytics platform.
Locations (2)
Irving, Texas, United States
Charlotte, North Carolina, United States
Responsibilities
Lead complex initiatives to design and enhance enterprise data platform capabilities within Microsoft Fabric
Participate in strategic efforts to expand Fabric adoption, onboard new use cases, and improve platform scalability and performance
Evaluate internal and external data, analytics, and integration solutions to align with target-state architecture and enterprise data strategy
Review and analyze high-impact incidents related to data pipelines, platform performance, or data quality; implement preventative controls and resiliency improvements
Design, build, deploy, and maintain Fabric solutions including data ingestion pipelines, transformations, semantic models, and reporting layers
A specialist role focused on pivoting data strategy from application-centric silos to a unified, data-centric ecosystem, leading the design and implementation of ontologies and semantic layers.
Responsibilities
Lead the design and implementation of ontologies and semantic layers
Own and define the metadata management strategy
Ensure data is discoverable, traceable, and governed
Act as a technical leader within the designated technical area
Drive the development of the technical area and anticipate future trends
Requirements
Degree in Computer Science, Engineering, or Physics field
Senior Data Analyst with strong expertise in SQL and data validation to ensure the accuracy, consistency, and reliability of enterprise data.
Responsibilities
Collaborate closely with Data Engineers, Business Analysts, BI teams, and business stakeholders to validate data pipelines, ETL processes, semantic models, and Tableau dashboards
Investigate data issues, perform root cause analysis, and ensure business metrics are accurate and reliable
Mentor and guide junior analysts by sharing best practices and providing technical direction
Use AI tools to improve productivity and analysis
Requirements
Nice to have: AWS cloud data platforms (Amazon Redshift, AWS Glue, Amazon Athena, Amazon S3)
Lead and mentor Data Engineers; drive engineering standards and best practices. Independently design, build, tune, and own scalable Snowflake ELT pipelines, data models, and platform artifacts supporting analytics/operational workloads.
Locations (11)
Boise, Idaho, United States
Salt Lake City, Utah, United States
Fargo, North Dakota, United States
Portland, Oregon, United States
Vancouver, Washington, United States
Principal Technical Product Manager, Data & Platform
Own and manage the GE Aerospace Defense & Systems Palantir Foundry platform, ensuring health, security, cost, and compliance while driving data strategy and AI capabilities.
Locations (5)
Evendale, Ohio, United States
Cincinnati, Ohio, United States
Atlanta, Georgia, United States
Livonia, Michigan, United States
Niskayuna, New York, United States
Compensation
The base pay range for this position is $152,000 to $222,000 annually. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan.
Senior Software Development Engineer, AWS Marketplace & Partner Services
Oregon, Washington, Utah, and Idaho: The expected hiring range is $114,000 - $143,000, the full salary range is $114,000 - $186,000, and the bonus target is 15%. North Dakota: The expected hiring range is $101,000 - $134,000, and the full salary range is $101,000 - $167,000.
Responsibilities
Lead and mentor Data Engineers
Drive engineering standards and best practices
Design, build, tune, and own scalable Snowflake ELT pipelines
Senior Analytics Engineerf7d8749a-72d6-407c-bf98-292ea630c73a · San Diego, US
Senior Product Manager, Data PlatformCurinos Inc · US
Senior Software Development Engineer, AWS Marketplace & Partner ServicesAmazon · Seattle, US