Sr Data Engineer

Thermo Fisher Scientific • Carlsbad, CA

10d

About The Position

As part of the Thermo Fisher Scientific team, you’ll find meaningful work that impacts the world. Join us in bringing our Mission to life daily to help customers make the world healthier, cleaner, and safer. We provide resources to support your career goals and develop solutions for global challenges like environmental protection, food safety, and cancer cures. How You Will Get Here: Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations. 5 years of demonstrated expertise in Databricks and Spark, Python, Apache, SQL including pipeline creation, automation, and monitoring 5 years or more hands-on experience crafting and administrating relational database solutions, including AWS Delta Lake, Oracle, and AWS Redshift 5 years or more experience handling and managing AWS products, including Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments Prior experience with tools like Power BI, Cognos, SQL Server, and Oracle is a strong plus Deep understanding of data modeling, metadata management, and data governance frameworks Experience building, scheduling, and monitoring data workflows using Apache Airflow 5 years of solid experience in DevOps/DataOps or equivalent roles, version control platforms (such as GitHub), and continuous integration and delivery pipelines Demonstrated experience in leading engineering projects and managing project lifecycles A self-starter with the drive and ability to deliver complex solutions rapidly Communicate effectively with technical and non-technical personnel in oral and written form Ensure stable and timely data pipelines that support period-end and quarter-end financial close processes, enabling accurate reporting and reconciliations Monitor, solve, and optimize finance workflows during close cycles to guarantee data completeness, performance, and SLA compliance

Requirements

• Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations.
• 5 years of demonstrated expertise in Databricks and Spark, Python, Apache, SQL including pipeline creation, automation, and monitoring
• 5 years or more hands-on experience crafting and administrating relational database solutions, including AWS Delta Lake, Oracle, and AWS Redshift
• 5 years or more experience handling and managing AWS products, including Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others
• Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments
• Deep understanding of data modeling, metadata management, and data governance frameworks
• Experience building, scheduling, and monitoring data workflows using Apache Airflow
• 5 years of solid experience in DevOps/DataOps or equivalent roles, version control platforms (such as GitHub), and continuous integration and delivery pipelines
• Demonstrated experience in leading engineering projects and managing project lifecycles
• A self-starter with the drive and ability to deliver complex solutions rapidly
• Communicate effectively with technical and non-technical personnel in oral and written form
• Effective leadership abilities to build technical choices and steer teams towards data-driven enterprise solutions
• Outstanding interpersonal skills to translate sophisticated technical and AI concepts into business-aligned solutions
• Demonstrable ability to collaborate with team members across IT, business, and AI/analytics departments
• Passion for continuous learning, innovation, and staying ahead of evolving cloud, AI, and data technologies

Nice To Haves

• Prior experience with tools like Power BI, Cognos, SQL Server, and Oracle is a strong plus

Responsibilities

• Ensure stable and timely data pipelines that support period-end and quarter-end financial close processes, enabling accurate reporting and reconciliations
• Monitor, solve, and optimize finance workflows during close cycles to guarantee data completeness, performance, and SLA compliance

Benefits

• This position may also qualify for a variable annual bonus depending on company, team, and/or individual performance results aligned with company policy.
• We provide a comprehensive Total Rewards package that our U.S. colleagues and their families can rely on, which includes:
• 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
• A minimum of 120 hours of paid time off (PTO), 10 paid holidays each year, and paid parental leave including 3 weeks for bonding and 8 weeks for caregiving.
• Accident and life insurance are provided, along with short- and long-term disability as outlined in company policy.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees