Data Engineer, AI/ML Platforms

Remote Hiring Remotely in US Senior level Remote Hiring Remotely in US Senior level Designs, builds, tests, documents, and maintains large-scale data pipelines across platforms and sources. Performs ETL and ELT, develops data quality and governance processes, supports anomaly detection, and ensures database security and compliance. Collaborates with architects, analysts, and stakeholders to translate business needs into technical solutions. The role also mentors junior engineers, oversees projects, and works with cloud platforms, relational databases, SQL, Python, Spark, and large-scale processing engines. The summary above was generated by AI The Sr Data Engineer will design and manage data systems, pipelines, and management tools. They will oversee junior data engineers, recommend and deploy data models, and lead projects involving data collection and storage systems. This role will design, build, document, test, and maintain critical data pipelines from large volumes of data from internal and external data sources cross different platforms., * Collaborate with data architect, analysts, and stakeholders to identify and document needs/requirements for data pipelines and process automation

• Design, build, document, test, and maintain data pipelines using industry best practices
• Performs ETL, ELT operations in accordance with enterprise data governance and security standards
• Develop data quality and governance process to ensure the accuracy and quality of the data through inspection, validation, processing, anomaly detection, Leads a team managing ADA and PWFA accommodation claims, ensuring accurate, timely, compliant claim adjudication and strong customer service. Responsibilities include coaching employees, managing performance and workloads, reviewing claim files and calls, identifying process improvements, administering concurrent disability and leave claims, mitigating risk, and communicating operational updates. The role requires disability or absence management expertise, sound judgment, knowledge of applicable regulations, and effective stakeholder collaboration. Top Skills: Microsoft Office Suite OneImaging

Systems Administrator

An Hour Ago Remote USA 60K-75K Annually Mid level 60K-75K Annually Mid level Healthtech Administer the company’s SaaS, cloud, identity, endpoint, and security platforms. Manage access, SSO, MFA, SCIM, audit logging, vendor security, user lifecycle, device policies, and automation using scripts and APIs. Respond to security incidents, maintain compliance controls and runbooks, provide tier 1-2 IT support, manage hardware and assets, and document internal procedures. The role requires broad systems ownership across AWS, Google Workspace, Rippling, and numerous business applications. Top Skills: ActivecampaignAdobeAdvancedmdAircallAmazon Web Services (Aws)AnthropicAws CloudtrailAws GuarddutyAws IamAws Security HubBashBrazeDatabricksDatadogFigmaGoogle SecopsGoogle WorkspaceGreenhouseHipaaIntercomIntuneIso 27001JAMFKandjiLinearLinkedInLucidmacOSMdmMfaMongodb AtlasNordvpn TeamsNotionOpenai ApiPostmanPowershellPythonRest ApisRipplingSalesforceSAMLScimScribeSentrySoc 2SplunkSsoStytchTerraformTwilioVirtruWaystarWindowsZendeskZoom Liberty Mutual Insurance

Technical Claims Specialist, Workers Compensation

2 Hours Ago Remote or Hybrid 75K-140K Annually Senior level 75K-140K Annually Senior level Artificial Intelligence * Fintech * Insurance * Marketing Tech * Software * Analytics Investigates, evaluates, reserves, negotiates, and resolves complex, high-severity workers compensation claims. Determines coverage and compensability, manages litigation and settlement activities, identifies fraud and subrogation opportunities, analyzes claims data, maintains reserves, advises management, and trains less experienced staff. Top Skills: ExcelMicrosoft Powerpoint

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• Detail oriented and proactive in taking measures to avoid or mitigate issues.
• Excellent understanding of computer systems, integrations, databases, and data storage systems.
• Understanding of agile data engineering concepts and processes
• Ability to capture and document business processes and requirements and work with colleagues to create functional requirements.
• Ability to work with clients to translate business needs to technical solutions
• Ability to provide guidance, mentoring, and training for peers
• Exceptional interpersonal skills and ability to effectively communicate with teams across the entire organization.
• Demonstrates the organization’s core values, exuding behavior that is aligned with the firm’s culture
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
• Ability to learn any other appropriate program or software system used by the firm as necessary

EDUCATION & EXPERIENCE:

• 5-7 years of relevant experience required
• BA/BS in relevant discipline required
• Vast experience with multiple development methodologies
• Experience of building large, complicated data pipelines cross different platforms, data sources, data structures
• Experience of working with relational databases such as SQL Server, Oracle, etc., and SQL scripting
• Experience of cloud platforms (like AWS, Azure, GCP) and its ETL tools and techniques of sourcing, maintaining, and updating data, data warehousing, data cleansing & transformation, etc.
• Programming experience in Python, Spark, and other similar languages
• Advanced programming knowledge and experience with large-scale processing engines are required, as well as a deeper understanding of database security and compliance tools.