[Hiring] Scientist III, Data Engineer @Thermo Fisher Scientific

Role Description

The Scientist III, Data Engineer will be responsible for:

• Developing scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity.
• Owning and delivering projects and enhancements associated with data platform solutions.
• Developing solutions using PySpark/EMR, SQL and databases, AWS Athena, S3, Redshift, AWS API Gateway, Lambda, Glue, and other Data Engineering technologies.
• Writing complex queries and editing them as required for implementing ETL/Data solutions.
• Implementing solutions using AWS and other cloud platform tools, including GitHub, Jenkins, Terraform, Jira, and Confluence.
• Following agile development methodologies to deliver solutions and product features by adhering to DevOps, Data Ops, and Dev Sec Ops practices.
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Traveling up to 5% (domestic and international). Can work remotely or telecommute.

Qualifications

• Master’s degree or foreign degree equivalent in Technology Management, Information Technology, Computer Science, or related field of study.
• 3 years of experience as a Data Developer, Data Engineer, or related occupation.
• Alternative: Bachelor’s degree or foreign degree equivalent in Technology Management, Information Technology, Computer Science, or related field of study plus 5 years of experience as a Data Developer, Data Engineer, or related occupation.

Requirements

• Full life cycle implementation in AWS using PySpark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, and Glue.
• Agile development methodologies following DevOps, Data Ops, and Dev Sec Ops practices.
• ETL Pipelines, GitHub, Jenkins, Terraform, Jira, Bitbucket, and Confluence.
• Informatica, Databricks, & AWS Glue.
• Data Lake using AWS Databricks, Apache Spark, & Python.
• Data visualization tools like PowerBI and Tableau.
• Data modeling and optimization for OLAP/OLTP systems with Star/Snowflake schemas.
• Strong knowledge of SQL, query optimization, and performance tuning in Redshift, Snowflake, or Oracle.
• Experience with CI/CD pipelines for data workflows using Jenkins, GitHub Actions, or AWS CodePipeline.
• Data governance, cataloging, and lineage using tools such as AWS Glue Data Catalog, Collibra, or Alation.
• Implementing data security, encryption, IAM policies, and compliance regulatory frameworks.
• Batch and real-time streaming pipelines using Kafka and Spark Streaming.
• Managing data governance, access control, and lineage using Databricks Unity Catalog for secure enterprise data sharing.
• Implementing Delta Lake architecture for ACID transactions, schema enforcement, and scalable data pipelines.
• Optimizing Delta Live Tables for automated ETL orchestration and reliable data delivery.
• Ensuring high availability and SLA-driven production support with proactive monitoring, incident management, and root cause analysis.
• Collaboration with cross-functional teams to translate scientific, laboratory, and business requirements into scalable data solutions.

Benefits

• Salary range: $161,803.00–$186,000.00.
• Eligible for a variable annual bonus based on company, team, and/or individual performance results.
• A choice of national medical and dental plans, and a national 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 annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability.
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan.
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount.