
Senior Data Engineer
Thermo Fisher Scientific
full-time
Posted on:
Location Type: Hybrid
Location: Carlsbad • California, North Carolina, Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $103,100 - $154,700 per year
Job Level
Senior
Tech Stack
AirflowAmazon RedshiftApacheAWSCloudCognosKafkaOraclePythonSparkSQL
About the role
- 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.
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
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architecturepipelinesDatabricksSparkPythonSQLrelational database solutionsAWS Delta LakeAWS Redshift
Soft skills
problem-solvingdebuggingperformance tuningself-startercommunication