The Hartford Data Engineer in United States

Title: Data Engineer

Location: United States

Job Number: 1801696

Develop data solutions and provide technical support for data scientists and business analysts on the latest big data platforms. This role works directly with business functions, technical teams, and vendor partners to architect and build solutions that optimize business decisions and processes. Projects typically require innovation and rapid development.

This role performs the following tasks for dozens of analytical teams and business units across the enterprise.

Provide development and operations support for a Hadoop/Linux platform that supports

analytics (R/Shiny, Python, Spark, H2O, SAS) and business intelligence (Tableau, Microsoft BI)

Evaluate, implement and administer emerging data technologies, focusing on: big data

analytics, OCR, search, data virtualization, data wrangling, business intelligence an

visualization

Train and enable data scientists and business analysts to self-service data wrangling and

analysis

Provide technical consulting to ensure understanding of solutions, standards and processes

Qualifications:

Bachelor’s degree in a quantitative or scientific field, such as: Computer Science, Engineering or

a related discipline

At least 2, typically 4 or more years of solid, diverse work experience in IT, database

management, analytics or an equivalent combination of education and work experience

At least 1 year of experience with reporting or database platforms, performing: data preparation,

data warehousing operations (ETL, data aggregation, mining), or developing Analytics solutions

At least 1 year of experience developing applications with languages, such as: Python, R, SQL

or Java

Ability to learn new technologies quickly, and perform major job responsibilities proficiently within

6-12 months

Strong analytical ability, problem analysis techniques, and broad knowledge of technology

alternatives

Excellent communication skills, and the ability to work effectively with business clients and IT

resources

PREFERRED

At least 1 year of experience developing solutions with Hadoop technologies, such as: Hive, Pig,

HBase or Kafka

At least 1 year of experience with Linux scripting, or system administration

Experience evaluating and administering software tools

Experience training users to be proficient with software tools

Understanding of insurance business functions

Experience with analytics, machine learning algorithms, or statistical software, such as: SAS or

R

Experience with agile project management

Proactive, responsive, flexible, continuous improvement mindset, team oriented,

frequent/clear/concise communicator, positive attitude, customer focus, effective listener, good

multitasking skills

What Else Can You Tell Me?

The Hartford is committed to the education and growth of our Information Technology Professionals. A number of IT Certifications are available to enhance your career and growth potential. IT Professionals at The Hartford may qualify for a stipend up to $1000 per year for additional certifications

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

* NO AGENCIES PLEASE *

Job: Data Engineering

Primary LocationUnited States

Other Locations

ScheduleFull-time

Job LevelIndividual Contributor

Education LevelBachelor's Degree (±16 years)

Job TypeStandard

ShiftDay Job

Employee StatusRegular

Overtime StatusExempt

TravelNo

PostingJun 12, 2018, 11:00:00 PM

Remote Worker OptionNo

The Hartford is an equal employment and affirmative action employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, age, national origin, disability, veteran status, sexual orientation, gender identity or expression, marital status, ancestry or citizenship status, genetic information, pregnancy status or any other characteristic protected by law. The Hartford maintains a drug-free workplace and is committed to building inclusion and leveraging diversity.