Data Engineer

Data Engineering Manager Location: Remote - Hartford, CT Employment Type: Contingent Worker (Contract, W2) Contract Length: 12 months (possible extension) Compensation: Open Market Rate Summary of the Role Join a large biotech pharmaceutical leader as a Mgr Data Engineering supporting the global distribution organization through AI, GenAI, automation, and data-enabled solutions. This role will design, develop, test, and implement practical digital tools that improve business processes, operational efficiency, and decision-making. The ideal candidate is a hands-on technical developer who can partner directly with business stakeholders, understand operational challenges, translate requirements into scalable solutions, and build AI-enabled workflows, custom GPTs, automation logic, analytics tools, and data solutions in a compliant enterprise environment. Key Responsibilities • Design, develop, test, and implement AI, GenAI, custom GPT, automation, and data-driven solutions • Partner with business stakeholders to understand operational challenges and identify automation opportunities • Build and configure AI tools, automation workflows, chatbots, analytics solutions, and digital process improvements • Write or adapt code, scripts, workflows, prompts, APIs, and automation logic to solve business problems • Translate business requirements into technical designs, prototypes, MVPs, and scalable digital solutions • Ensure AI and digital solutions are secure, scalable, compliant, sustainable, and aligned with enterprise standards • Support data standardization, data transformation, data validation, and data quality activities • Work with structured and unstructured data, including extraction, cleansing, mapping, validation, and transformation • Document technical designs, workflows, business rules, data logic, support procedures, and solution requirements • Test, validate, troubleshoot, and enhance AI-enabled, automation, and data solutions • Communicate effectively with technical teams, business partners, and non-technical stakeholders Qualifications • Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions • Experience building or configuring custom GPTs, AI assistants, chatbots, prompt-based workflows, or GenAI-enabled solutions • Experience writing or adapting code, scripts, workflows, APIs, or automation logic • Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar tools • Experience with tools such as Microsoft Copilot Studio, Azure OpenAI, Power Apps, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, or Confluence • Experience with embeddings, semantic search, vector databases, document intelligence, or unstructured data processing • Understanding of prompt engineering, AI solution design, workflow automation, and data transformation • Ability to translate business requirements into technical designs and working solutions • Strong business analysis, requirements gathering, process mapping, and documentation skills • Ability to test, validate, troubleshoot, and enhance digital solutions • Strong communication and collaboration skills for working with both business and technical teams Preferred: • Experience in global supply chain, distribution, logistics, manufacturing, biotech, pharmaceutical, or regulated industries • Familiarity with software development practices, version control, GitHub, APIs, testing frameworks, CI/CD, or MLOps • Experience building automation for reporting, data reconciliation, exception management, workflow routing, or dashboards • Understanding of data governance, master data management, metadata, data stewardship, data lineage, and data quality frameworks • Familiarity with order management, inventory, warehouse operations, transportation, cold chain, serialization, trade compliance, or distribution planning • Experience with Agile, SAFe, product ownership, or digital product delivery • Knowledge of responsible AI, data privacy, cybersecurity, and compliance for enterprise AI solutions • Certifications in AI, GenAI, prompt engineering, Microsoft Power Platform, Azure AI, data analytics, automation/RPA, Agile/SAFe, APICS/CSCP/CPIM, business analysis, cloud, Databricks, or data engineering Top 3 Must Have Skills 1. Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions 1. Ability to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI solutions 1. Experience writing or adapting code, scripts, workflows, or automation logic Day-to-Day Responsibilities • Translate business requirements into technical designs, prototypes, MVPs, and scalable solutions • Partner with stakeholders to identify operational pain points and automation opportunities • Build AI-enabled tools, custom GPTs, automation workflows, analytics, and data solutions • Work with structured and unstructured data for extraction, cleansing, mapping, validation, and transformation • Write or adapt code, scripts, prompts, APIs, and workflow logic as needed • Conduct requirements gathering, process mapping, documentation, and stakeholder engagement • Test, validate, troubleshoot, and refine digital and AI-enabled solutions • Maintain technical documentation, business rules, data logic, and support procedures • Collaborate with business and technical teams to ensure solutions are scalable, secure, and compliant • Support reporting, dashboarding, workflow routing, data reconciliation, and process improvement initiatives Ready to build AI, GenAI, automation, and data solutions that improve global distribution operations for a major biotech organization? Apply today.