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Senior Data Engineer
  • Python
  • SQL
  • Linux
  • Machine Learning
  • Tableau
  • Excel
  • Data Visualization
  • Hadoop
The Hartford
Hartford, CT
174 days ago
Senior Data EngineerCommercial Data Science

The Hartford's Small Commercial Data Science (SCDS) team is seeking a Sr. Data Engineer, to partner with data scientists in designing, developing, and implementing predictive models and operational analytic solutions. SCDS data engineers work on projects with data scientists, and also work across projects to build out shared infrastructure and data assets. We are looking for a critical and creative thinker who can target high-level problems as well as tackle specific technical challenges.
Responsibilities:

  • Design and build reproducible and efficient analytic data pipelines, integrating data from across the hybrid data environment (cloud and on-prem, Oracle, Hadoop, AWS, Snowflake)

  • Design and build interfaces to provide model outputs to business users and consuming applications

  • Evaluate, prototype and refine new approaches to DataOps, using new data development tools and cloud data storage (AWS, Snowflake)

  • Train and support team members in adoption of new tools and technologies

  • Develop robust processes for managing analytical data assets throughout the lifecycle - evaluation, ingestion, integration, monitoring, archiving

  • Collaborate on cross-functional solutions with other technical teams across Data Science, Chief Information Office, and Chief Data Office

Qualifications

  • 5+ years professional experience in data engineering and analysis

  • Excellent communication skills - verbal, written, data visualizations

  • Fluency in a modern scripting language, like Python

  • Proficiency in SQL, and experience tuning queries for performance

  • Experience with Linux, including developing shell scripts

  • Experience with version control tools, like git

  • Passion to learn new skills and lead research and discovery efforts

  • Ability to work both independently and in a team environment

  • Familiarity with data visualization tools, like Tableau and Shiny

  • Familiarity with agile methodologies

  • Familiarity with machine learning concepts

  • BS/MS in a quantitative discipline, or equivalent experience and self-education


Equal Opportunity Employer/ Females/ Minorities/ Veterans/ Disability/ Sexual Orientation/ Gender Identity or Expression/ Religion/ Age

Job Function

: Data Engineering

Primary Location

: United States-Connecticut-Hartford

Schedule

: Full-time

Job Level

: Individual Contributor

Education Level

: Bachelor's Degree (±16 years)

Job Type

: Standard

Shift

: Day Job

Employee Status

: Regular

Overtime Status

: Exempt

Travel

: No

Job Posting

: Jun 10, 2020, 3:42:41 PMRemote Worker Option : Yes

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