Senior Data Engineer

Hiscox Ltd

$160K — $170K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Applied Computer Science, or related field
  • 5 years of experience with Databricks and dbt
  • Proficient in SQL and Python for data engineering
  • Experience with Infrastructure as Code using Terraform
  • Knowledge of CI/CD processes using Azure DevOps or similar cloud platforms

Responsibilities

  • Build and operationalize complex data solutions
  • Design and expand Databricks cloud data platform
  • Develop data transformation pipelines using dbt
  • Assess business requirements and plan task delivery
  • Research and implement new technologies for optimal solutions
  • Conduct code reviews within the Data Engineering practice
  • Design and implement CI/CD pipelines for cloud applications

Benefits

  • 401k with company match
  • Comprehensive health, vision, and dental insurance
  • Generous PTO including 24 days plus additional allowances
  • Paid parental leave and multiple paid holidays
  • Opportunity for a 4-week paid sabbatical every 5 years
  • Fitness-related reimbursement and wellness subscriptions
  • Charitable donation matching program
Full Job Description
Job Type:
Permanent

Senior Data Engineer (Hiscox Inc., Atlanta, GA)

  • Serve as a core and professional member of our Data Engineering practice to build and operationalize complex data solutions, as well as apply transformations and data cleaning and data quality solutions.
  • Design, build support, and expand our Databricks cloud data platform for the business to enhance performance and functionality.
  • Develop data transformation pipelines using dbt.
  • As a senior data engineer in a squad of data engineers, take input on business requirements, refine development tasks, assess their complexity, and plan their delivery by a squad of contractor data engineers.
  • Research, evaluate, and adopt new technologies with optimal tools for the solution.
  • Ensure speed of delivery and quality of appropriate solutions.
  • Participate in code reviews for the Data Engineering practice.
  • Design and implement CI/CD pipelines in Azure DevOps for cloud data platform application and infrastructure.
  • Assess database performance and modify systems to improve performance.
  • Work with modern cloud data lake house technologies; data engineering (SQL/Python); Infrastructure as Code using Terraform; CI/CD; writing, testing, and deploying code using DevOps; DevOps Pipelines (Azure, AWS, or GCP); and, collaborating with technical and non-technical team members in Agile Scrum ceremonies.


Requires Bachelor's degree in Computer Science, Applied Computer Science, or a related field of study, plus five (5) years of experience with Databricks, dbt, modern cloud data lake house technologies; data engineering (SQL/Python); Infrastructure as Code using Terraform; CI/CD; writing, testing, and deploying code using DevOps; DevOps Pipelines (Azure, AWS, or GCP); and/or, collaborating with technical and non-technical team members in Agile Scrum ceremonies.

Salary: $160,056 - $170,000 per yr.

Benefits: 401k w/ company match. Health insurance, vision, dental, FSA (medical, limited purpose, dependent care). Paid group term life, short & long-term disability. 24 PTO days, 2 Hiscox days, 10 paid holidays, 1 paid floating holiday, ability to purchase 5 PTO days. Paid parental leave. 4 wk paid sabbatical after every 5 yrs. Financial adoption assistance, medical travel reimbursement. Annual reimbursement up to $600 for health club membership or fitness prog fees. Paid Headspace subscription. Complimentary drinks. Matching charitable donations.

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