Data Engineer: Hybrid Analytics Pipelines & ML

The Hartford; Chicago (IL); Hybrid; USD 100,960 - 151,440; Full time

Job summary

The Hartford is seeking a Data Engineer to design and implement data assets for machine learning and AI solutions. This role involves participating in the full software development lifecycle and collaborating with cross-functional teams to ensure data quality.

Qualifications include 2+ years experience, a Bachelor's degree in a relevant field, and skills in R, Python, SQL, and AWS. The position offers a hybrid schedule working in the office 3 days a week.

Qualifications

• 2+ years of relevant experience recommended.
• Experience in data ingestion from various structures.
• Strong communication skills with technical and non-technical teams.

Responsibilities

• Develop high quality, scalable software modules for analytics.
• Engage with cross-functional IT stakeholders.
• Create data assets and build pipelines for analytical consumption.

Skills

R (preferred)

Python

SQL

Linux

Git

AWS Services (i.e. S3, EMR)

ETL

Data validation

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Hadoop/Spark

Automation tools (Autosys, Cron, Airflow)

Job description

The Hartford is seeking a Data Engineer to design and implement data assets for machine learning and AI solutions. This role involves participating in the full software development lifecycle and collaborating with cross-functional teams to ensure data quality.

Qualifications include 2+ years experience, a Bachelor's degree in a relevant field, and skills in R, Python, SQL, and AWS. The position offers a hybrid schedule working in the office 3 days a week.