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Information Technology

Aetna IT is committed to keeping our members at the heart of everything we do. Our top-talent workforce delivers leading-edge technology, drives innovation, turns vision into action and challenges the art of the possible. We provide best-in-class services to our members by delivering groundbreaking healthcare tools, enabling consumer-friendly interactions and protecting data security. Your mission will be to deliver innovating technology solutions including: Hybrid cloud infrastructure, artificial intelligence/machine learning capabilities and infrastructure as code.

Aetna, a CVS Health Company, is a company with a world-class IT team and we will be counting on you to carry on our success as the preferred provider of infrastructure services for our business partners.

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Success Profile

What makes a successful Information Technologist?
Here are the traits we are looking for:

  • Adaptable
  • Collaborative
  • Communicator
  • Digitally Savvy
  • Good Listener
  • Problem-solver
  • Results Driven
  • Team Player
  • Technologically savvy
  • Versatile
  • Relationship expertise
  • Diplomatic
  • Trustworthy
  • Business Savvy

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Benefits

  • Medical

  • Dental

  • Vision

  • Healthcare
    FSA

  • Dependent
    Care FSA

  • Health and
    Wellness
    Programs

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Job Details

Lead Data Engineer

Primary Location: Hartford, Connecticut
Additional Locations: CT-Hartford
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Description:
Manages and responsible for successful delivery of applications that integrate with large scale data applications and data pipelines and efficiently integrates workflows across organizations. Acts as the data engineering team lead for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives.

Fundamental Components:
  • Designs and develops complex and large scale services.
  • Able to write complex SQL for purposes of analytic processing.
  • Develop frameworks, standards & reference material for architecture and associated products.
  • Able to navigate data marts and data models to support Data Science and other internal customers. Behaves as mentor to junior team members to provide technical advice.
  • Applies knowledge of Aetna systems and products to consult and advise on additional efforts across multiple domains spanning broader enterprise.
  • Collaborates with data science team to transform data and integrate algorithms and models into highly available, production systems.
  • Uses in-depth knowledge on microservice and container architecture, experience designing & optimizing queries for scalability, modular, and efficient analysis.
  • Uses advanced programming skills in Python, Java, Scala or any of the major languages to build robust applications that integrate with large data pipelines and dynamic systems.
  • Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
  • Experiments with available tools and advises on new tools in order to determine optimal solution given the requirements dictated by the model/use case.


Background Experience:
  • Strong collaboration and communication skills within and across teams.
  • Ability to communicate technical ideas and results to non-technical clients in written and verbal form.
  • Proven ability to create innovative solutions to highly complex technical problems.
  • Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources.
  • Ability to understand and build complex systems and solve challenging analytical problems.
  • Advanced knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.
  • Akka or Pykka, API development, and docker/microservices
  • Advanced knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment.
  • Experience building and implementing data transformation and processing solutions.
  • Has in-depth knowledge of large scale search applications and building high volume data pipelines.
  • Experience with bash shell scripts, UNIX utilities & UNIX Commands.
  • 7 or more years of progressively complex related experience.
  • Master’s degree or PhD preferred.Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.


Potential Telework Position:
No

Percent of Travel Required:
0 - 10%

EEO Statement:
Aetna is an Equal Opportunity, Affirmative Action Employer

Benefit Eligibility:
Benefit eligibility may vary by position.

Candidate Privacy Information:
Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.

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