Aetna Lead Solution Engineer - 64324BR in Hartford, Connecticut
Req ID: 64324BR
Aetnas mandate is to transform health and wellness via products that enable consumer engagement and best-in-class experience. This team is responsible for Aetna s digital transformation and all digital products; as well as the development and execution of the digital roadmap. A key part of the responsibility is to build an integrated platform that enables the delivery of products to drive engagement and revolutionize health and wellness. We want you to be apart of the team that will build this next generation platform.
Leveraging your expertise in Big Data, IoT, Native Cloud, Application Development, Machine Learning and Deep Learning, you will join a product team that is building disruptive cloud platform that will transform the healthcare industry and improve the lives of hundreds of millions of people. Aetna Digital is a highly energetic, highly collaborative team that operates as a startup within the Aetna Enterprise. We want you to bring your talent and expertise to drive the change the is desperately needed within the healthcare industry.
Come Join Aetna Digital!
Fundamental Components included but are not limited to:
Aetna Digital is looking for Lead Solution Engineer with Big Data solutions design experience to help us leverage data from different sources including files, databases, messages, streams, IoT events from across the enterprise, the cloud and fog in order to transform it into products focused on helping people live healthier lives.
In this role, you will use your experience with System Integration, Big Data, Streaming and Cloud technologies to build our Enterprise Analytic Platform as a member of one of our teams in Burlington, MA, Hartford, CT or New York, NY. You will work on cutting-edge applications and products. Brainstorming with Enterprise architects, Application Architects, product managers, data scientists and fellow engineers to build solutions used to improve the health outcomes of millions of people.
•Design, implement, and support data ingestion and consumption pipelines for enterprise-scale datasets, using Big Data tools, such as Hadoop, Spark, Massive Parallel Processing DBs or No-SQL DBs.
•Establish frameworks for quickly rolling out new data analysis for standalone data-driven products and micro-services
•Model data and metadata to support persona-based interactions as defined through interfacing with business customers, gathering requirements, and delivering solutions
•Demonstrate a deep knowledge of, and ability to operationalize, leading data technologies and best practices
•Facilitate/lead/participate in architecture discussions
•Partner end-to-end with Product Managers, Platform and Data Scientists to understand customer requirements, design prototypes and bring ideas to production
What we are looking for:
•We develop real products. You need to be an expert in design, coding and scripting
•We prioritize professional industry experience; advanced degrees alone do not replace real world experience
•We have massive scale. You need to have experience in distributed, scalable systems. You ve worked with modern data storage, messaging, and processing tools and demonstrated experience designing and coding in big-data components such as Hadoop, Hive, Pig, Spark, and Kafka or similar
•Were a growing, diverse team and we work together on delivering an Enterprise wide Analytic platform. We love to collaborate and help each other, and we want someone to share that ideology
•We are and need other self-starters who can see the big picture and prioritize their work to make the largest impact on the business and customers vision and requirements
•You have excellent communication, leadership and collaboration skills
Qualifications Requirements and Preferences:
•7+ years software development in enterprise/ web/ cloud applications, solutioning, architecture and frameworks.
•Big Data expertise with cloud and enterprise level design/implementation
•Knowledge and experience of any Big Data Technology like Hadoop, Spark, Datalakes, No SQL Databases or Streams.
•Fluent with functional, imperative and object-oriented languages, methodologies and Design Patterns
•Strong knowledge of Business Intelligence & Analytics concepts and platforms; Inclusive of data virtualization, data preparation, data visualization and advanced analytics technologies
•Must have experience working in Health Care Domain.
•Must have experience with Unix/Linux systems with scripting experience.
•Must have experience in open source programming languages for large scale data.
•Must have experience with Service Oriented Architecture and/or Micro Service Architectures.
•Must have experience with Messaging and Streaming Architectures.
•Experience coding, testing and documenting middleware and server-side modules.
•Experience working in an agile environment
•Strong collaboration and communication skills within and across teams
•Knowledge and experience of DevOps is desirable.
•Exposure to PaaS, SaaS, AWS/GCP/Azure platform are advantageous.
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.
Master s degree or PhD preferred.
Additional Job Information:
Dollar-for-dollar match up-to 6% of your 401(k) contributions!
Health care (HSA/FSA), dental, vision benefits, PTO
$200/yr towards wellness - gym membership, fitbit, treadmill
Up-to 5K a year toward tuition reimbursement
Reimbursement also available for additional Certification, Training & Conferences
A top of the line MacBook Pro
Onsite gym and showers
Classes & trainer available as well, think there is a cost to this part though
Onsite wellness center
Onsite financial center
Onsite Cafeteria that serves 6000+ people/day
Aetna Digital Team lunch every Tuesday
Benefit eligibility may vary by position. Click here to review the benefits associated with this position.
Job Function: Data & Analytics
Aetna is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veterans status.