Automotive Propulsion Software Research Engineer Location: Fully onsite. Warren, MI Contract role ... with Databricks (Lakehouse, MLflow, Model Serving) for versioning, observability, and scalable ...
Automotive Propulsion Software Research Engineer Location: Fully onsite. Warren, MI Contract role ... with Databricks (Lakehouse, MLflow, Model Serving) for versioning, observability, and scalable ...
This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence ... Experience in full stack software engineering or application development * Strong hands-on ...
This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence ... Experience in full stack software engineering or application development * Strong hands-on ...
Data Engineer
$108K - $130K/yr
You will work at the intersection of software engineering and data science, ensuring that our data ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). * Data Modeling:
Data Engineer
$108K - $130K/yr
You will work at the intersection of software engineering and data science, ensuring that our data ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). * Data Modeling:
This role blends software engineering and ML expertise to translate prototypes into scalable ... Design, build, and maintain scalable ML pipelines using cloud services (e.g., Vertex AI, Databricks ...
This role blends software engineering and ML expertise to translate prototypes into scalable ... Design, build, and maintain scalable ML pipelines using cloud services (e.g., Vertex AI, Databricks ...
This role blends software engineering and ML expertise to translate prototypes into scalable ... Design, build, and maintain scalable ML pipelines using cloud services (e.g., Vertex AI, Databricks ...
This role blends software engineering and ML expertise to translate prototypes into scalable ... Design, build, and maintain scalable ML pipelines using cloud services (e.g., Vertex AI, Databricks ...
Palantir, Data Engineer
Detroit, MI · Remote
$113K - $135K/yr
Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important. This is ...
Palantir, Data Engineer
Detroit, MI · Remote
$113K - $135K/yr
Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important. This is ...
Palantir, Data Engineer
Detroit, MI · Remote
$113K - $135K/yr
Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important. This is ...
Palantir, Data Engineer
Detroit, MI · Remote
$113K - $135K/yr
Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important. This is ...
Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science ... Experience with Databricks or Databricks Genie Spaces. Experience with model-serving endpoints or ...
Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science ... Experience with Databricks or Databricks Genie Spaces. Experience with model-serving endpoints or ...
Data Engineer
$120K/yr
Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...
Data Engineer
$120K/yr
Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...
Data Engineer
Plymouth, MI · On-site
$120K/yr
Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...
Data Engineer
Plymouth, MI · On-site
$120K/yr
Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...
Senior Business Intelligence Data Engineer
Warren, MI · Hybrid
$99K - $135K/yr
In-depth knowledge of Databricks (including PySpark, Databricks SQL, and Lakehouse architectures ... Master's degree in Computer Science, Software Engineering, or related field * Knowledge of data ...
Senior Business Intelligence Data Engineer
Warren, MI · Hybrid
$99K - $135K/yr
In-depth knowledge of Databricks (including PySpark, Databricks SQL, and Lakehouse architectures ... Master's degree in Computer Science, Software Engineering, or related field * Knowledge of data ...
Staff Vehicle Program Planner
Plymouth, MI · On-site
$102K - $127K/yr
Build planning tooling & models -- Develop in Python / Databricks; prototype and pilot AI-assisted planning; partner with internal software teams to productize what works. * Shape advanced planning ...
Staff Vehicle Program Planner
Plymouth, MI · On-site
$102K - $127K/yr
Build planning tooling & models -- Develop in Python / Databricks; prototype and pilot AI-assisted planning; partner with internal software teams to productize what works. * Shape advanced planning ...
Data Engineer
Auburn Hills, MI · On-site
$108K - $130K/yr
This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms. This role ...
Data Engineer
Auburn Hills, MI · On-site
$108K - $130K/yr
This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms. This role ...
Data Engineer
Lansing, MI · On-site
$116K - $139K/yr
Execute the full software development life cycle (SDLC), including requirements gathering ... Databricks. * 8+ years with Elastic Search and Kibana. * 8+ years with Python/Scala. * 8+ years ...
Data Engineer
Lansing, MI · On-site
$116K - $139K/yr
Execute the full software development life cycle (SDLC), including requirements gathering ... Databricks. * 8+ years with Elastic Search and Kibana. * 8+ years with Python/Scala. * 8+ years ...
We are looking for a Senior Software Engineer (Level 7A) to lead backend and platform services for ... Working with modern data platforms (Snowflake, Databricks, or equivalent) and writing performant ...
We are looking for a Senior Software Engineer (Level 7A) to lead backend and platform services for ... Working with modern data platforms (Snowflake, Databricks, or equivalent) and writing performant ...
We are looking for a Senior Software Engineer (Level 7A) to lead backend and platform services for ... Working with modern data platforms (Snowflake, Databricks, or equivalent) and writing performant ...
We are looking for a Senior Software Engineer (Level 7A) to lead backend and platform services for ... Working with modern data platforms (Snowflake, Databricks, or equivalent) and writing performant ...
Sub-System Lead Engineer OR Senior Sub-System Lead Engineer (Chassis Data & Analytics)
$90K - $118K/yr
... of software-defined vehicles. If you are energized by solving complex problems, leading with ... Proficiency using the Databricks platform. * Familiarity with data and analytics architecture and ...
Sub-System Lead Engineer OR Senior Sub-System Lead Engineer (Chassis Data & Analytics)
$90K - $118K/yr
... of software-defined vehicles. If you are energized by solving complex problems, leading with ... Proficiency using the Databricks platform. * Familiarity with data and analytics architecture and ...
Data Engineer
$108K - $130K/yr
Work with Databricks or similar data platforms for data processing and analytics * Implement DevSecOps practices, including SAST and secrets management (HashiCorp Vault) * Implement monitoring and ...
Data Engineer
$108K - $130K/yr
Work with Databricks or similar data platforms for data processing and analytics * Implement DevSecOps practices, including SAST and secrets management (HashiCorp Vault) * Implement monitoring and ...
Diagnostics & Analytics Sub-System Lead Engineer - Chassis OR Senior Diagnostics & Analytics Sub-Sys
Milford, MI · On-site
... of software-defined vehicles. If you are energized by solving complex problems, leading with ... Proficiency using the Databricks platform. * Familiarity with data and analytics architecture and ...
Diagnostics & Analytics Sub-System Lead Engineer - Chassis OR Senior Diagnostics & Analytics Sub-Sys
Milford, MI · On-site
... of software-defined vehicles. If you are energized by solving complex problems, leading with ... Proficiency using the Databricks platform. * Familiarity with data and analytics architecture and ...
Vice President, Platform Engineering
Birmingham, MI · On-site
$171K - $221K/yr
Expert-level Databricks and Python skills, with a strong background in software engineering best practices. * Advanced expertise in PostgreSQL (stored procedures, functions, and performance tuning)
Vice President, Platform Engineering
Birmingham, MI · On-site
$171K - $221K/yr
Expert-level Databricks and Python skills, with a strong background in software engineering best practices. * Advanced expertise in PostgreSQL (stored procedures, functions, and performance tuning)
Databricks Software information
What engineer makes $500,000 a year?
Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.
What is Databricks Software?
Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.
How much do Databricks employees make?
Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.
Is Databricks a high paying job?
Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.
What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?
Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.
What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?
To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.
What exactly are Databricks Jobs?
Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.
What is the difference between Databricks Software vs Data Engineer?
| Aspect | Databricks Software | Data Engineer |
|---|---|---|
| Primary Role | Platform for data analytics and machine learning | Builds, maintains data pipelines and infrastructure |
| Required Skills | SQL, Spark, cloud platforms, data science basics | SQL, ETL, programming (Python, Scala), database management |
| Work Environment | Cloud-based, collaborative data platform | Data teams, cloud or on-premises environments |
| Certifications | Databricks certifications, cloud certifications | None specific, often cloud or data certifications |
While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.
What are popular job titles related to Databricks Software jobs in Michigan? For Databricks Software jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Michigan look for? The top searched job categories for Databricks Software jobs in Michigan are:
What cities in Michigan are hiring for Databricks Software jobs? Cities in Michigan with the most Databricks Software job openings:
Full-time
Posted 18 days ago
Job description
Role: Automotive Propulsion Software Research Engineer
Location: Fully onsite. Warren, MI
Contract role
Job description:
Develop an LLM and agent based assistant to automate simulation setup, run deck generation, boundary condition/mesh recommendations, results review, and requirements alignment across 1D/3D tools (e.g., GT POWER/Simcenter Amesim, ANSYS/STAR CCM+, MATLAB/Simulink).
Surrogate Modeling & Automated Design Space Exploration (DSE): Build physics informed ML surrogates for key propulsion performance metrics (e.g., torque, BSFC/efficiency, thermal limits, emissions proxies, e drive efficiency maps) and integrate them with active learning data generation and multi objective optimization
MS or PHD in Computer Science, Computer Engineering, or Electrical Engineering
Skillset: Python programming (critical); Experience in AI/ML, preferably Generative AI (critical); familiarity with embedded software development lifecycle and systems engineering activities
• System architecture covering data sources (requirements, prior studies, PLM), tools (1D/3D solvers), and results storage (Lakehouse).
• Document parsing pipelines for requirements/specs/test plans; establish content normalization (Markdown/JSON).
• Agent workflows for: interpreting change requests, proposing simulation plans, generating run decks/templates, mesh/BC suggestions, and automated post processing.
• Chat + form based UI to request studies, generate inputs, and review outputs.
• Integration with Databricks (Lakehouse, MLflow, Model Serving) for versioning, observability, and scalable compute.
• Define target responses (e.g., torque map, efficiency map, pressure ratios, temperatures, emissions proxies), inputs (geometry/controls/operating points), and constraints.
• Data model and schema for simulation inputs/outputs; provenance and UQ metadata.
• Orchestrate solver sweeps (1D/CFD/FEA where applicable) to seed the dataset.
• Implement adaptive sampling/active learning to target high value points that reduce model error.
• Train candidate surrogates (e.g., GPR, XGBoost/TabNet, feedforward NNs, physics informed NNs).
• Cross validation, error budgets, calibration; uncertainty quantification and guardbanding.
• Integrate surrogates with DSE (e.g., Bayesian Optimization, NSGA II) to target objectives (efficiency/BSFC, mass, cost, thermal margins) under constraints (emissions/temperature/packaging).
• Optional coupling to MDAO toolchains (e.g., ModelCenter/HEEDS/Simcenter).
Location: Fully onsite. Warren, MI
Contract role
Job description:
Develop an LLM and agent based assistant to automate simulation setup, run deck generation, boundary condition/mesh recommendations, results review, and requirements alignment across 1D/3D tools (e.g., GT POWER/Simcenter Amesim, ANSYS/STAR CCM+, MATLAB/Simulink).
Surrogate Modeling & Automated Design Space Exploration (DSE): Build physics informed ML surrogates for key propulsion performance metrics (e.g., torque, BSFC/efficiency, thermal limits, emissions proxies, e drive efficiency maps) and integrate them with active learning data generation and multi objective optimization
MS or PHD in Computer Science, Computer Engineering, or Electrical Engineering
Skillset: Python programming (critical); Experience in AI/ML, preferably Generative AI (critical); familiarity with embedded software development lifecycle and systems engineering activities
• System architecture covering data sources (requirements, prior studies, PLM), tools (1D/3D solvers), and results storage (Lakehouse).
• Document parsing pipelines for requirements/specs/test plans; establish content normalization (Markdown/JSON).
• Agent workflows for: interpreting change requests, proposing simulation plans, generating run decks/templates, mesh/BC suggestions, and automated post processing.
• Chat + form based UI to request studies, generate inputs, and review outputs.
• Integration with Databricks (Lakehouse, MLflow, Model Serving) for versioning, observability, and scalable compute.
• Define target responses (e.g., torque map, efficiency map, pressure ratios, temperatures, emissions proxies), inputs (geometry/controls/operating points), and constraints.
• Data model and schema for simulation inputs/outputs; provenance and UQ metadata.
• Orchestrate solver sweeps (1D/CFD/FEA where applicable) to seed the dataset.
• Implement adaptive sampling/active learning to target high value points that reduce model error.
• Train candidate surrogates (e.g., GPR, XGBoost/TabNet, feedforward NNs, physics informed NNs).
• Cross validation, error budgets, calibration; uncertainty quantification and guardbanding.
• Integrate surrogates with DSE (e.g., Bayesian Optimization, NSGA II) to target objectives (efficiency/BSFC, mass, cost, thermal margins) under constraints (emissions/temperature/packaging).
• Optional coupling to MDAO toolchains (e.g., ModelCenter/HEEDS/Simcenter).
About Lorven technologies
Sourced by ZipRecruiter
Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
2001