Remote Data Jobs · US

• Develop machine learning applications to support the new digital testing platform.
• Create insights from existing data and drive the collection of new data.
• Help the team break down the work into manageable tasks and support Agile maturity.

Analyze health insurance claims, policy, and customer data to identify trends. Support data-driven decision-making for stakeholders. Extract, analyze, visualize, and present data.

The Customer Solution Architects (CSA) are integral in helping customers through all three phases of their journey - Onboarding, Adoption and Innovation. The CSA team works closely with the Customer Success Manager as well as Customer teams to onboard customers onto Atlan, drive Atlan adoption through Value Streams and use the power of Active Metadata to automate and innovate. As part of the the CSA team, you will build expertise in tools in the Modern Data Stack and be the trusted advisor to help and guide Customer stakeholders.

• Play a pivotal role in transforming raw data into actionable insights that drive strategic decisions.
• Maintain accurate and accessible data pipelines while building automated dashboards and reports.
• Improve data integrity, governance, and usability for teams across the organization.

Responsible for managing data migration processes, identifying and resolving anomalies, and maintaining data integrity across systems. Working closely with cross-functional teams, you will support process improvements, communicate trends and insights, and contribute to a seamless user experience. Innovate on operational workflows and provide technical support during migrations.

Support data-driven decision-making by providing accurate reporting and data quality management. Work closely with internal teams and external partners to compile, analyze, and present data. Manage multiple projects and adapt to changing priorities.

• Design, develop, and maintain scalable data platform components for ingestion, transformation, and analytics.
• Build and scale data pipelines using tools such as Airbyte, Rudderstack, Kafka, and DBT with Snowflake.
• Implement CI/CD workflows with GitHub Actions and ensure robust observability using Datadog.

• Craft contextually accurate questions for AI training.
• Analyze SQL queries and result tables.
• Maintain linguistic quality and logical accuracy.

• Design, develop, and maintain scalable data pipelines for ingestion, parsing, filtering, and optimization of diverse datasets.
• Implement robust data modeling techniques to structure and format datasets for efficient training.
• Collaborate with researchers, engineers, and cross-functional teams to meet the evolving needs of AI models.

• Lead the design and implementation of cloud-based data architectures.
• Work with cross-functional teams to develop scalable, secure, and efficient data solutions.
• Influence data strategy, mentor team members, and provide architectural guidance to stakeholders.