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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

Senior Data Engineer -Hadoop/Java

Primary Location: Hartford, Connecticut
Additional Locations: CT-Hartford
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Description:

Are you passionate about cutting edge technology?
Is your dominant trait intense curiosity — Are you ready to make discoveries while swimming in data? Do you desire to go beneath the surface of a problem, find the questions at heart, and extract them into a very clear set of hypotheses that can be tested? You are in the right place; working with Aetna gives you just that…. Scrutinizing data in a world-class Hadoop cluster, generating insights to guide consumers in their journey to wellness, and help them achieve their health ambitions, whether it’s running the Inca Trail Marathon or playing tackle football with their grandkids? Aetna’s Data Engineer team is focused on delivering strategically-impactful programs and tools to help members across all life stages feel the joy of achieving their best health, in their own way.



Fundamental Components:
  • Develops large scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs.
  • Writes ETL (Extract / Transform / Load) processes, design database systems and develop tools for real-time and offline analytic processing. Collaborates with data science team to transform data and integrate algorithms and models into automated processes.
  • Uses knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines.
  • Uses strong programming skills in Python, Java, or any of the major languages to build robust data pipelines and dynamic systems.
  • Builds data marts and data models to support Data Science and other internal customers.
  • Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
  • Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions.
  • Experiments with available tools and advice on new tools to determine the optimal solutions given the requirements dictated by the model/use case.


Background Experience:
  • Five or more years of progressively complex data environment-related experience.
  • Strong problem-solving skills and critical thinking ability.
  • Knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.
  • Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment
  • Strong collaboration and communication skills within and across teams.
  • Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.
  • Ability to understand complex systems and solve challenging analytical problems
  • Experience with bash shell scripts, UNIX utilities & UNIX Commands
  • Experience building data transformation and processing solutions.
  • Has strong knowledge of large scale search applications and building high volume data pipelines.
  • Master’s degree or Ph.D. 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. Click here to review the benefits associated with this 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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