Lead Data Engineer

American Family Insurance
Boston, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 220K

Job location

Boston, United States of America

Tech stack

Amazon Web Services (AWS)
Applications Architecture
Azure
Big Data
Cloud Computing
Code Reuse
Databases
Continuous Integration
Information Engineering
Data Infrastructure
ETL
Data Stores
Data Warehousing
Relational Databases
Software Design Patterns
Dimensional Modeling
Distributed Computing Environment
Hadoop
Python
Machine Learning
NoSQL
Open Source Technology
Standard Sql
Software Engineering
Systems Integration
Web Services
Data Logging
Google Cloud Platform
Spark
GIT
Cloudformation
Scikit Learn
Data Analytics
Terraform
Docker
Jenkins

Job description

This position collects, stores, processes and builds applications within our big data platform. Responsible for integrating these applications with the architecture used across the organization., *Leads an engineering team to meet project deadlines and priorities. *Supervises assigned data engineering team members & activities. *Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle. *Documents critical workflows and operational support aspects of team's responsibilities *Develops deep understanding of data sources, granularity, availability, and limitations. *Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions. *Creates maintainable, scalable code to load and manipulate data in the data warehouse. *Facilitates communication upward and across project teams and business stakeholders.

Requirements

*Demonstrated experience providing customer-driven solutions, support or service. *In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores) *Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions. *Able to employ design patterns and generalize code to address common use cases. *Capable of authoring robust, high quality, reusable code and contributing to the division's inventory of libraries. *Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions. *Applied knowledge of cloud computing (AWS, GCP, Azure). *Knowledge of open source machine learning toolkits, such as sklearn, SparkML, or H2O. *Solid data understanding and business acumen in the data rich industries like insurance or financial *Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas). *Strong understanding of database internals, such as indexes, binary logging, and transactions. *Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.) *Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git). *Practical experience authoring and consuming web services.

Benefits & conditions

  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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