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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Syngenta - **Location:** United States - **Experience:** Expert - **Salary:** $114,100.0 - $211,900.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Agile Methodology, Amazon Web Services, Amazon S3, Unit Testing, Big Data, Cluster Analysis, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Mining, Software Debugging, DevOps, Distributed Systems, Information Sciences, Machine Learning, NoSQL, DataOps, Software Engineering, SQL Databases, Performance Testing, Snowflake, Information Technology, Data Pipelines - **Published:** September 17, 2026 - **Apply:** https://www.thejobnetwork.com/job/2090b8b8-3814-442d-8125-3448be49b8c5/senior-data-engineer ## About the Role PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This includes, but is not limited to, OPT, CPT, and H-1B visa holders. * Degree in computer science, information science, engineering, mathematics, or related technical discipline. * 8+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets. * Strong experience with data integration (ETL/ELT) concepts. * Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets * Knowledge of, and experience with data transformation technologies and tools * Experience with SQL and NoSQL technologies * Desire to work with Agile/DataOps practices and methodologies * Experience with continuous integration practices * Able to write, debug, unit test, and performance test data integration processes * Able to clearly define data quality issues * Strong problem solving/critical thinking skills * Ability to lead, mentor and coach other engineers * Ability to communicate with, and influence, senior stakeholders ## Description We are seeking a Senior Data Engineer to be a member of an innovative team working in a collaborative DataOps environment assembled from data engineers, data scientists, visualization and analytics experts drawn from IT and R&D teams. Relationship building, collaboration and influencing will be key in an environment of data complexity and difficult data integration challenges., * Support an analytical data infrastructure providing application, tool and ad-hoc access to large datasets consisting of complex data types including genomic, phenotypic, environmental, image and geospatial data. * Lead, coach and develop more junior engineers and IT professionals. * Engage with business stakeholders to understand strategic roadmaps and build a technical strategy to support them. * Interface with DevOps teams to extract, load and transform data from a wide variety of data sources using big data technologies in AWS cloud including Glue, EMR, and Lambda. * Deploy high value, high performance datasets in Snowflake. * Creation and support of real-time data pipelines built on AWS technologies including Glue, S3, Lambda, EMR, EventBridge, Athena, Kinesis, and IoT Core. * Embed quality and intelligent reporting capabilities into data pipelines including detection of anomalies and changes in trends with meaningful alerts and statistics. * Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency. * Collaborate with data scientists and other tech teams to implement advanced analytics algorithms into our data pipelines that exploit our rich datasets for statistical analysis, prediction, clustering, and machine learning. * Help continually improve automation and simplifying data as a service. ## Related Videos - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)