Data Engineer

2 days ago

Chicago, Illinois, United States The Hartford Financial Services Group Full time
Job Title: Staff Data Engineer

We are seeking a highly skilled Staff Data Engineer to join our Commercial Lines (CL) Data modernization and simplification program at The Hartford Financial Services Group.

Key Responsibilities:
  • Drive End-to-End solution delivery involving multiple platforms and technologies with medium to large complexity or oversee certain parts of very large complex implementations, leveraging ELT solutions to acquire, integrate, and operationalize data.
  • Partner with architects and stakeholders to influence and implement the vision of the pipeline and data product architecture while safeguarding the integrity and scalability of the environment.
  • Articulate risks and tradeoffs of technology solutions to senior leaders with translations as needed for business leaders.
  • Build or enhance data pipelines using cloud-based architecture.
  • Ability to build simplified data models for complex business problems.
  • Accountable for Data Engineering Practices across all the teams involved.
  • Implement and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend & Informatica) with cloud/on premise hybrid hosting solutions, on a multi-team/product level.
  • Ability to execute independently.
  • Team player with transformation mindset.
  • Ability to operate successfully in a lean and fast-paced organization, leveraging Scaled Agile principles and ways of working.
  • Collaboration across teams, decision making, conflict resolution and relationship building.
  • Collaborate with the team to mature Code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value.
Qualifications:
  • 5+ years of Data engineering experience.
  • 2+ years of developing and operating production workloads in cloud infrastructure.
  • Bachelors degree in Computer Science, Data Science, Information Technology or similar majors.
  • Expert level skills on AWS services, Snowflake, Python, Spark – Certifications are huge plus.
  • Expert level skills on ETL tools like Talend and Informatica.
  • Expert level skills in Data Warehousing – Modeling, mapping, building batch and real time data pipelines and framework.
  • Experienced in DataOps tools like GitHub, Jenkins, Udeploy etc.
  • Strong Knowledge of P&C Commercial Lines business.
  • Strong knowledge of Legacy tech stack – Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, Shell scripting etc.
  • Experience in using Agile tools like Rally and Jira.
  • Strong written and verbal communication to interact effectively with both technical and nontechnical users at all levels of the organization.
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: $123,280 - $184,920

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

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