Sr. Developer

Senior Developer at Thermo Fisher Scientific Inc. responsible for designing data pipelines, implementing security frameworks, developing AI and machine learning models, and creating visualizations in a collaborative environment.

Location: Waltham, MA, USA

Salary: $178,131–$186,000 per year

Responsibilities

• Design and implement scalable, distributed data pipelines using AWS services such as S3, Redshift, Glue, Lambda, EMR, Athena, and Kinesis, with transformation logic developed in PySpark, Python, and SQL.
• Architect and lead the implementation of a comprehensive security framework for the Databricks platform, including identity and access management (IAM), data governance, network security, encryption, and audit controls.
• Define and enforce enterprise-grade security standards across Databricks workspaces, Unity Catalog, and associated data pipelines, ensuring alignment with organizational policies and industry best practices.
• Implement and manage user access provisioning and authentication through Microsoft Entra ID (formerly Azure AD), including SCIM-based group provisioning, SSO integration, RBAC policies, and conditional access for Databricks.
• Apply deep domain expertise in molecule-level data to uncover strategic insights and identify business opportunities across the drug development lifecycle.
• Lead the design, development, and deployment of generative AI use cases, taking them from ideation through production implementation.
• Develop and fine-tune large language model (LLM) applications, including prompt engineering strategies, reusable prompt templates, and context augmentation techniques.
• Integrate generative AI systems with enterprise data ecosystems using REST APIs, vector databases, knowledge graphs, and orchestration frameworks.
• Establish robust LLM evaluation and monitoring frameworks, defining key metrics for measuring model accuracy, relevance, safety, and overall production performance.
• Collaborate cross-functionally with engineering, data science, product, and business stakeholders.
• Conduct architecture reviews and optimize data pipelines and GenAI workflows for cost, performance, and scalability.
• Implement CI/CD pipelines using GitHub and GitHub Actions.
• Develop intelligent knowledge workflows using Flowise, RAG, function calling, SQL orchestration, and webhook integrations.
• Design and build process mining dashboards using Celonis EMS, including KPI definitions, root cause analysis, and operational insights.
• Automate enterprise workflows through Celonis Action Flows, integrating with SAP, Salesforce, and other platforms.
• Model enterprise process data within the Celonis Data Model and configure scalable data pipelines.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or related field with 7+ years of experience or Master’s degree with 5+ years of experience.
• Proficiency in Python, R, Scala, and Java.
• Experience with AWS services such as S3, Redshift, Glue, Lambda, EMR, Athena, and Kinesis.
• Experience in Linux/Unix environments and shell scripting.
• Experience with relational databases like MySQL, PostgreSQL, SQL Server, and cloud data warehouses like Redshift.
• Experience in managing Databricks Unity Catalog using Terraform.
• Experience in automating data governance and access management.
• Experience in deploying machine learning models and applying various ML techniques.
• Experience with time series forecasting models and NLP techniques.
• Proficiency in creating visualizations with Power BI, Matplotlib, Seaborn, Plotly, and Amazon QuickSight.

Benefits

• A choice of national medical and dental plans, and a vision plan, including health incentive programs.
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement.
• At least 120 hours paid time off (PTO), 10 paid holidays, paid parental leave, accident and life insurance, and short- and long-term disability.
• Retirement and savings programs, such as a 401(k) plan.
• Employees’ Stock Purchase Plan (ESPP).