Sr. Data Engineer, Data Science Team

s and methodologies, we aim to create innovative solutions that optimize benefit programs, streamline processes, and provide valuable support to our colleagues. Our collaborative efforts ensure that we stay ahead of industry trends and continuously deliver impactful results.

As a Sr. Data Engineer, you will participate in the entire software development lifecycle process in support of continuous data delivery, while growing your knowledge of emerging technologies. We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, and visibility as we focus on continuous business data delivery.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

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 and recommend innovations which anticipate the future impact of changing business needs

• Formulates logical statements of business problems and devises, tests and implements efficient, cost-effective application program solutions

• Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case

• Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets.

• Develop code that enables real-time modeling solutions to be ingested into front-end systems

• Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other data science teams

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 a variety of 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) a plus

• Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus

• Able to communicate effectively with both technical and non-technical teams

• Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution

• Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

• Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$117,200 - $175,800

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

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