Data Engineer, Digitization Technology
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Job Location:
Grand Island, NY - USA
Monthly Salary:
$ 66000 - 90000
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
The Data Engineer Digitization Technology is part of the Biologicals and Chemicals Division one of the fastest-growing areas of the company supporting developers and manufacturers of biological-based therapeutics and vaccines. This role contributes to the divisions digitization efforts by enabling reliable high-quality experimental data to flow from laboratory systems into downstream analytical platforms.
Working at the intersection of laboratory systems and the enterprise data platform the Data Engineer plays a key role in ensuring experimental data is structured interpretable and ready for use in analytics reporting and future advanced data applications.
Location: Grand Island NY
Division: Biologicals and Chemicals Division
Responsibilities
- Develop maintain and support mission-critical data pipelines that move experimental data from laboratory systems (e.g. LIMS and ELN) into the divisions data lake.
- Ingest and curate historical experimental data addressing inconsistencies data quality issues and evolving data structures to ensure downstream usability and trust.
- Maintain and support the LIMS environment including troubleshooting data-related issues and collaborating with system stakeholders to resolve root causes.
- Apply data quality checks validation logic and monitoring to ensure accuracy consistency and completeness of ingested data.
- Collaborate closely with data architecture data operations and platform teams to align ingestion processes with established data standards and platform requirements.
- Support downstream analytics and reporting use cases by ensuring experimental data is well-structured documented and appropriately contextualized.
- Contribute to documentation of data pipelines data structures and ingestion processes to support transparency reuse and long-term maintainability.
- Continue to develop technical skills across data engineering analytics and visualization through hands-on work and collaboration with more senior engineers.
Education
- Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience.
- Minimum of 2 years of relevant professional experience.
Experience & Technical Skills
- At least 2 years of experience in a data engineering or data-focused software role with exposure to technical business or operational data requirements.
- Experience working with data lakes analytics platforms or business intelligence solutions.
- Hands-on experience using Databricks or similar data processing platforms.
- Proficiency in Python and common Python libraries used for data processing and analysis.
- Experience working with SQL databases including writing and optimizing queries debugging data issues and working with views indexes and user-defined functions.
- Familiarity with laboratory or scientific data systems (e.g. LIMS) is preferred.
Working Style & Collaboration
- Ability to work effectively as part of a cross-functional team collaborating with engineers scientists and data stakeholders.
- Comfortable working with complex evolving datasets and addressing ambiguity in historical or experimental data.
- Demonstrated problem-solving skills and a willingness to learn and grow within a data engineering environment.
Compensation and Benefits
The salary range estimated for this position based in New York is $66000.00$90000.00.This position may also be eligible to receive a variable annual bonus based on company team and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count 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
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 in accordance with 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
For more information on our benefits please visit: Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Electron microscopes reveal hidden wonders that are smaller than the human eye can see. They fire electrons and create images, magnifying micrometer and nanometer structures by up to ten million times, providing a spectacular level of detail, even allowing researchers to view single a ... View more
