Sr. Data Engineer, Data Science Team

Hartford Funds; Hartford (CT); Remote; USD 117,000 - 176,000; Full time

Job summary

An established industry player is seeking a Sr. Data Engineer to join their innovative Data Science Team. This role focuses on designing and developing high-quality, scalable software modules for next-generation analytics solutions. You will collaborate with cross-functional teams to analyze business requirements and create data pipelines for analytical consumption. The ideal candidate will have a strong background in Python and SQL, with proficiency in data ingestion from various sources. This is a fantastic opportunity to drive impactful innovations and contribute to a forward-thinking organization that values data-driven decision-making.

Qualifications

• 5+ years of relevant experience in data engineering.
• Bachelor's degree in Computer Science or related field.

Responsibilities

• Design and develop scalable software modules for analytics solutions.
• Create data assets and build data pipelines for analytical consumption.

Skills

Python

SQL

Data Ingestion

ETL

Unix

Git

Automation Tools

AWS Services

Education

Bachelor's degree in Computer Science

Tools

GitHub

Hadoop

Spark

Snowflake

Redshift

Autosys

Cron

Airflow

Job description

Job Listing Summary

Job Title: Sr. Data Engineer, Data Science Team

Location: Hartford CT- Home Office (Telecommute)

Company: Hartford Fire Ins. Co

Employment Type: Full-Time

Key Responsibilities:

• Design and develop high quality, scalable software modules for next generation analytics solution suite.
• Prototype high impact innovations, catering to changing business needs, by leveraging new technologies.
• Consult with cross-functional stakeholders in the analysis of short and long-range business requirements.
• Formulate logical statements of business problems and devise, test, and implement efficient application program solutions.
• Identify and validate internal and external data sources for availability and quality.
• Create data assets and build data pipelines for analytical consumption.
• Perform data analysis to ensure quality of data assets.
• Develop code for real-time modeling solutions to be ingested into front-end systems.
• Produce code artifacts and documentation using GitHub for reproducible results.

Qualifications:

• 5+ years of relevant experience recommended.
• Bachelor’s degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline.
• Proficiency in Python and SQL.
• Proficiency in ingesting data from various structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON.
• Proficiency in ETL concerning metadata management and data validation.
• Proficiency in Unix and Git.
• Proficiency in Automation tools (Autosys, Cron, Airflow, etc.).
• Experience with AWS Services (i.e. S3, EMR, etc.) is a plus.
• Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) is a plus.
• Able to communicate effectively with both technical and non-technical teams.
• Able to translate complex technical topics into business solutions and strategies.
• Experience with leading project execution and driving change to core business processes.
• Candidate must be authorized to work in the US without company sponsorship.

Compensation:

The annualized base pay range for this role is: $117,200 - $175,800.