This listing doesn't post a salary. Most similar roles pay
$135,000–$217,525.
Based on 240 similar postings.
Employer
About Bosch
Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.
Bosch currently has
34 open roles
on FindRole.
Listed pay typically runs
$165,000–$185,000
across 16 roles with salary data.
Engineer Data (Multiple Positions) will join an international team of data and analytics experts to enhance data systems and digitalization efforts. The role involves creating and maintaining optimal data pipelines for test and experimental data, allowing end users to perform data mining and analytics. Key responsibilities include extracting, transforming, and loading data from diverse sources, building analytics tools for process improvements, and performing root cause analysis on vehicle dynamics and system performance. You will utilize Python, SQL, MS Azure, Databricks, PySpark, and Scala to manipulate large datasets from test benches, simulations, and production equipment. Technical skills include machine learning for predictive maintenance, physics-based modeling, and visualization using Tableau, Power BI, and Qlik. You will also use Siemens NX, Teamcenter, MATLAB, Ansys Fluent, and Abaqus.
What does a Data Engineer earn?
Median $162000 from 188 postings across 59 companies.
Create and maintain data pipelines for test and experimental data to support data analytics and mining.
Extract, transform, and load data from diverse sources using Python, SQL, and MS Azure.
Assemble and analyze large, complex datasets to meet specific business requirements.
Build analytics tools to provide actionable insights into manufacturing process improvements and operational efficiency.
Support data infrastructure needs for design and manufacturing engineers, including predictive maintenance and performance evaluation.
Monitor release testing progress by implementing new tracing metrics and applying machine learning and visualization methods.
Design and implement internal process improvements using physics-based modeling and automated analysis pipelines.
Manipulate and extract value from large connected and disconnected datasets in experimental and production environments.
What we're looking for
Bachelor’s degree or foreign equivalent in Mechanical Engineering, Aerospace Engineering, Computer Science, Informatics, Information Systems, or a related field.
3 years of experience as a Mechanical Engineer, Data Scientist, or in an occupation involving data processing, designing mechanical components, testing, and validating components.
Experience with cloud environments such as Azure and Databricks.
Proficiency in Python for large-scale data analysis in development, testing, and production environments.
Proficiency in PySpark or Scala for transformation, modeling, and analysis of high-volume test and experimental data.
Experience collecting, processing, and analyzing data from multiple sources to perform root cause analysis on vehicle dynamics and system performance.
Experience using machine learning algorithms for classification, predictive maintenance, and test data analysis.
Proficiency with Hydraulic Systems, Tableau, Power BI, Qlik, Siemens NX, Teamcenter, MS Project, MATLAB, Ansys Fluent, and Abaqus.
Data Engineering
Spark
Flink
Kafka
Apache Iceberg
Snowflake
Machine Learning
AI
Data Pipelines
Data Architecture
Data Quality
Scalability
Software Engineering Best Practices