IT Data Science Engineer (6100)

Are you looking for an opportunity with plenty of growth potential? Do you enjoy working in an exciting, fast-paced, collaborative environment? Are you interested in working with the world’s most innovative companies to create a more connected world?

Connecting Continents. Impacting Communities.

The backbone of the Internet is a series of high-tech subsea fiber optic cables deployed throughout the globe - SubCom has deployed over 50% of them. Our employees ensure data communications networks are engineered, manufactured, deployed to the highest standards, enabling faster and more reliable connectivity to communities worldwide. Every member of the SubCom team plays a role in an end-to-end process that is critical to enterprises, governments, big cities, and rural towns.

We encourage, expect, and value creativity, thoughtful risk taking, openness to change, and diverse perspectives. Whether you’re a seasoned applicant seeking a new and exciting challenge, or you’re new to the workforce and looking for a flexible, rewarding, and fast-paced position with an innovative and stable organization (since 1953), SubCom has opportunities to advance your career.

Position Overview

The Data Science Engineer bridges data engineering and data science by building the systems, tools, and infrastructure that allow organizations to extract insights and deploy advanced analytics. They design and maintain data pipelines, support scalable machine learning, and ensure that data scientists have reliable, high-quality data and platforms to work with. This position reports to the IT Infrastructure and Cloud Manager and is located in Newington, NH.

Responsibilities

• Design and maintain scalable cloud data architectures leveraging SQL Server, Azure Data Lake, and Microsoft Fabric.
• Develop, optimize, and manage the SQL Server database footprint, including schema design, performance tuning, indexing, and capacity planning.
• Lead SQL Server modernization and cloud migration initiatives, transitioning on-prem databases to Azure SQL, Managed Instance, or IaaS environments.
• Build and optimize end-to-end data pipelines and data models supporting analytics, reporting, and application workloads.
• Develop and maintain Power BI semantic models, dashboards, and reports delivering trusted, actionable insights.
• Implement security, identity, and access controls using Azure Active Directory (Entra ID), including RBAC and Power BI row-level security.
• Build and integrate data-driven web applications using .NET / .NET Core and RESTful APIs.
• Utilize Azure DevOps for source control, work item management, and CI/CD pipelines across data and application solutions.
• Automate deployments and enforce DevOps best practices for analytics, data platforms, and application releases.
• Collaborate with business and IT stakeholders to translate requirements into scalable, cloud-ready technical solutions.
• Ensure data quality, performance, governance, security, and compliance across cloud and on-prem environments.
• Apply AI and advanced analytics tools (Azure AI, Fabric AI, OpenAI, etc.) to enhance insights, automation, and decision-making.
• Continuously evaluate and improve platform reliability, scalability, and cost efficiency.
• Create documentation including system dependency maps, architecture diagrams, SOP's, and end user instructions for applications.