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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 Responsibilities

• Develop software solutions to machine learning and MLOps needs using Python and SQL
• Contribute to the development and deployment lifecycle of batch and real time analytics services
• Review, unit test, and debug code
• Use SQL, Python and Snowflake to understand underlying data and processes, suggest improvements for performance and best practices
• Collaborate with internal and external project stakeholders including project managers and developers
• Manage code development and deployment using Azure Data Factory, VS Code, Databricks, Function Apps, and GitHub
• Contribute to evolving best practices
• Document technical workflows and implementation processes

Required Skills/Experience

• 1-3 years of involvement in data/implementation engineering projects
• 1-3 years of Python development experience
• 1-3 years of API development experience
• Git experience

Desired Skills/Experience

• Experience in an Insurance environment
• Experience with Azure Functions, Snowflake, Databricks, and Event Hub/Kafka
• Familiarity with the MLOps as a concept and event driven architecture
• Familiarity with data warehousing concepts and design
• Basic collaboration and relationship building skills
• Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
• Resilient problem solving and critical thinking skills
• Ability to communicate effectively to different target audiences
• Flexibility – able to meet changing requirements and priorities

Education

• College 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
• Click here to learn more on available benefits

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.