2 days ago
Base Salary
$192k - $195k/yr
Responsibilities
- Lead design sessions for data processing, storage, and delivery solutions.
- Evaluate emerging technologies through proofs of concept and present results.
- Implement scalable data solutions and ETL pipelines for terabyte-size datasets.
- Optimize ETL pipeline performance, reliability, security, and cost efficiency.
- Build scalable data marts and distributed data processing solutions with secure, least-privilege access controls.
- Implement real-time data pipeline monitoring and alerting across cloud environments.
- Lead code reviews, retrospectives, and functional and integration testing.
- Lead and train data engineering teams and mentor junior data engineers.
- Provide technical guidance for platform enhancements and emerging technology evaluations.
- Travel up to 5% within the United States and internationally.
Requirements
- Master’s degree in Computer Science, Information Systems, Computer Engineering, or a closely related field plus at least two years of experience.
- Alternatively, a bachelor’s degree in one of the stated fields plus five years of progressive post-bachelor’s experience.
- Experience using Java, Python, JavaScript, and/or Scala to build scalable ETL pipelines for terabyte-size datasets.
- Experience with Kafka, Spark, Airflow, IAM, AWS, and GCP for scalable and secure data pipelines.
- Experience with Redshift, BigQuery, SQL, UDFs, and stored procedures for data marts and distributed data processing.
- Experience with cloud monitoring platforms such as AWS CloudWatch and Google Cloud logging.
- Experience applying infrastructure as code, version control, APIs, encryption tools, and row- and column-level security.
- Experience leading and training data engineering teams, including technical guidance during code reviews.
- Experience applying FinOps principles to cost efficiency and resource optimization strategies.
Benefits
- Health care, vision, dental, retirement, paid time off, and sick leave are provided.
- Hybrid telecommuting is permitted from a home office within reasonable commuting distance of Chesterfield, Missouri, up to two days per week.
- Regular employment with up to 5% U.S. and international travel.
- Multiple positions are open.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSGoogle BigQueryGoogle Cloud PlatformJavaJavaScriptPythonScalaSQL
Categories
Data Engineering
About Bayer
Bayer is a global life-sciences company that develops and sells prescription pharmaceuticals, consumer health brands (including Aspirin), and agricultural seeds, traits, and crop-protection products, plus digital farming tools, for patients, consumers, and farmers. It is a public company founded in 1863 and headquartered in Leverkusen, Germany. Bayer acquired Monsanto in 2018, making Crop Science one of its three core businesses alongside Pharmaceuticals and Consumer Health.