Browse 32 curated roles with transparent salary cues so you don't have to open ten tabs to compare offers.
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At most organizations, customer support operates inefficiently and delivers subpar results. Trilogy operates differently.
Experience: 5 years progressive experience in business analysis, systems analysis, testing or other analytical experience. Proven understanding of business analysis core competencies.
Senior / Lead Fullstack Python Engineer Location: Remote (US) Compensation: $175,000 - $225,000 Reports to: Senior Director of Software Engineering About The Role We're looking for a Senior / Lead Fullstack Python Engineer to join a rapidly growing SaaS company that is building next-generation, AI-driven platforms. Compensation & Perks Competitive salary: $175,000 - $225,000, plus potential equity.
Check out our benefits at Danaher Benefits Info. The U.S.
Lensa partners with DirectEmployers to promote this job for Biolife Plasma Services. U.S.
Senior Backend Engineer (Data) Remote - US Only Full-Time We're partnering with an audience intelligence company building advanced data and analytics solutions for the modern media and marketing landscape. What You'll Do Own substantial portions of the technical platform (web application, API server, or large-scale data pipeline), including planning, development, deployment, and operational support Design, build, and test distributed applications and microservices Communicate estimates, architecture decisions, and implementation plans clearly, collaborating across the engineering team Build and maintain solutions aligned with enterprise engineering standards and best practices Utilize modern GenAI capabilities - semantic search, workflow orchestration, LLM gateways, retrieval workflows, and real-time prompt/tooling systems What You Need 5+ years of backend or data engineering experience in fast-paced, high-performance environments Strong foundation in algorithms, data structures, distributed systems, and modern software engineering principles Proficiency in Java, Python, or Scala Experience designing scalable, high-performance systems and creating benchmarks for load, throughput, and reliability Experience developing API/interface contracts across services, applications, and third-party vendors Hands-on experience with cloud platforms (AWS, GCP, or Azure) and big data tools such as Databricks, PySpark, Spark, or Hadoop Familiarity with distributed storage systems and large-scale data processing Strong experience with CI/CD, automation, and DevOps pipelines; experience with AWS CloudFormation, Terraform, or Ansible is a plus Bachelor's degree in Computer Science, Engineering, or equivalent experience Engineering Environment Early engineering hire at an emerging startup Backend services built in Scala; frontend built with JavaScript/React Deployed via AWS using Docker containers and Infrastructure-as-Code Data and ML pipelines built on Spark Collaborative, high-ownership culture where engineers own problems end-to-end Benefits Full healthcare coverage Company 401(k) Unlimited PTO High-impact role with significant influence on architecture, tooling, and engineering culture Email Your Resume In Word To Looking forward to receiving your resume through our website and going over the position with you.
In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls. Why Oracle Health?
Preparing or reviewing equipment qualification regulatory evaluations. GE Vernova Inc.
Trilogy operates differently. With responsibility for over 100 enterprise software products, we have transformed customer support through sophisticated AI technology.
Senior Backend Engineer (Data) Remote - US Only Full-Time We're partnering with an audience intelligence company building advanced data and analytics solutions for the modern media and marketing landscape. What You'll Do Own substantial portions of the technical platform (web application, API server, or large-scale data pipeline), including planning, development, deployment, and operational support Design, build, and test distributed applications and microservices Communicate estimates, architecture decisions, and implementation plans clearly, collaborating across the engineering team Build and maintain solutions aligned with enterprise engineering standards and best practices Utilize modern GenAI capabilities - semantic search, workflow orchestration, LLM gateways, retrieval workflows, and real-time prompt/tooling systems What You Need 5+ years of backend or data engineering experience in fast-paced, high-performance environments Strong foundation in algorithms, data structures, distributed systems, and modern software engineering principles Proficiency in Java, Python, or Scala Experience designing scalable, high-performance systems and creating benchmarks for load, throughput, and reliability Experience developing API/interface contracts across services, applications, and third-party vendors Hands-on experience with cloud platforms (AWS, GCP, or Azure) and big data tools such as Databricks, PySpark, Spark, or Hadoop Familiarity with distributed storage systems and large-scale data processing Strong experience with CI/CD, automation, and DevOps pipelines; experience with AWS CloudFormation, Terraform, or Ansible is a plus Bachelor's degree in Computer Science, Engineering, or equivalent experience Engineering Environment Early engineering hire at an emerging startup Backend services built in Scala; frontend built with JavaScript/React Deployed via AWS using Docker containers and Infrastructure-as-Code Data and ML pipelines built on Spark Collaborative, high-ownership culture where engineers own problems end-to-end Benefits Full healthcare coverage Company 401(k) Unlimited PTO High-impact role with significant influence on architecture, tooling, and engineering culture Email Your Resume In Word To Looking forward to receiving your resume through our website and going over the position with you.
Customer Service: Handle customer service requests, policy administration, billing, claims, and coverage analysis. Policy Management: Manage policy expirations and renewals.
You will work at the intersection of data science and AI engineering. Demonstrable progressive experience in senior data science/AI engineering roles.
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