Arch Capital Group Ltd.
Software Engineer I - Remote, NJ, Hartford, Raleigh Preferred
Arch Capital Group Ltd., Hartford, Connecticut, us, 06112
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Job SummaryStrategic Analytics is a growing team at Arch that has established itself as a driving force in how the business is run. This is achieved through the implementation of real-time predictive analytic solutions that move the company forward. Our track record is 100% adoption of our tools and services. Data plays a critical role in our mission. We create best-in-class data solutions from internal and external sources by leveraging a diverse set of cloud technologies like Snowflake, the Azure tech stack, Databricks and Python.As a software engineer on the implementation engineering team, you will develop cutting edge solutions that put analytics at the heart of decision-making. You will work closely with other members of the Strategic Analytics team on high-profile analytics projects that drive business strategies. As a key member of the implementation engineering team, you will extend our capacity to deliver and push the team forward.This is a Remote role, with a high preference for candidates in the Jersey City, Hartford, or Raleigh vicinities.
Job ResponsibilitiesDevelop software solutions to machine learning and MLOps needs using Python and SQLContribute to the development and deployment lifecycle of batch and real time analytics servicesReview, unit test, and debug codeUse SQL, Python and Snowflake to understand underlying data and processes, suggest improvements for performance and best practicesCollaborate with internal and external project stakeholders including project managers and developersManage code development and deployment using Azure Data Factory, VS Code, Databricks, Function Apps, and GitHubContribute to evolving best practicesDocument technical workflows and implementation processes
Required Skills/Experience1-3 years of involvement in data/implementation engineering projects1-3 years of Python development experience1-3 years of API development experienceGit experience
Desired Skills/ExperienceExperience in an Insurance environmentExperience with Azure Functions, Snowflake, Databricks, and Event Hub/KafkaFamiliarity with the MLOps as a concept and event driven architectureFamiliarity with data warehousing concepts and designBasic collaboration and relationship building skillsComfortable handling ambiguous concepts and breaking down complex problems into manageable piecesResilient problem solving and critical thinking skillsAbility to communicate effectively to different target audiencesFlexibility – able to meet changing requirements and priorities
EducationCollege degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent
For individuals assigned or hired to work in California, Colorado, Hawaii, Jersey City, NJ; New York State; and/or Washington State, the base salary range is listed below. This range is as of the time of posting. Position is incentive eligible.
$65,000 – $95,500/year
Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above range may be modified in the future.
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Job SummaryStrategic Analytics is a growing team at Arch that has established itself as a driving force in how the business is run. This is achieved through the implementation of real-time predictive analytic solutions that move the company forward. Our track record is 100% adoption of our tools and services. Data plays a critical role in our mission. We create best-in-class data solutions from internal and external sources by leveraging a diverse set of cloud technologies like Snowflake, the Azure tech stack, Databricks and Python.As a software engineer on the implementation engineering team, you will develop cutting edge solutions that put analytics at the heart of decision-making. You will work closely with other members of the Strategic Analytics team on high-profile analytics projects that drive business strategies. As a key member of the implementation engineering team, you will extend our capacity to deliver and push the team forward.This is a Remote role, with a high preference for candidates in the Jersey City, Hartford, or Raleigh vicinities.
Job ResponsibilitiesDevelop software solutions to machine learning and MLOps needs using Python and SQLContribute to the development and deployment lifecycle of batch and real time analytics servicesReview, unit test, and debug codeUse SQL, Python and Snowflake to understand underlying data and processes, suggest improvements for performance and best practicesCollaborate with internal and external project stakeholders including project managers and developersManage code development and deployment using Azure Data Factory, VS Code, Databricks, Function Apps, and GitHubContribute to evolving best practicesDocument technical workflows and implementation processes
Required Skills/Experience1-3 years of involvement in data/implementation engineering projects1-3 years of Python development experience1-3 years of API development experienceGit experience
Desired Skills/ExperienceExperience in an Insurance environmentExperience with Azure Functions, Snowflake, Databricks, and Event Hub/KafkaFamiliarity with the MLOps as a concept and event driven architectureFamiliarity with data warehousing concepts and designBasic collaboration and relationship building skillsComfortable handling ambiguous concepts and breaking down complex problems into manageable piecesResilient problem solving and critical thinking skillsAbility to communicate effectively to different target audiencesFlexibility – able to meet changing requirements and priorities
EducationCollege degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent
For individuals assigned or hired to work in California, Colorado, Hawaii, Jersey City, NJ; New York State; and/or Washington State, the base salary range is listed below. This range is as of the time of posting. Position is incentive eligible.
$65,000 – $95,500/year
Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above range may be modified in the future.
#J-18808-Ljbffr