As a Lead Software Engineer within Asset & Wealth Management, you will build modern platform ... or Databricks. • Financial services knowledge, with an understanding of how technology enables ...
As a Lead Software Engineer within Asset & Wealth Management, you will build modern platform ... or Databricks. • Financial services knowledge, with an understanding of how technology enables ...
Lead Data Engineer
Columbus, OH · On-site
$110K - $132K/yr
Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...
Lead Data Engineer
Columbus, OH · On-site
$110K - $132K/yr
Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...
Lead Data Engineer
$107K - $129K/yr
Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...
Lead Data Engineer
$107K - $129K/yr
Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...
Lead Data Engineer
Columbus, OH · On-site
$107K - $129K/yr
Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...
Lead Data Engineer
Columbus, OH · On-site
$107K - $129K/yr
Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...
Lead Data Engineer
Columbus, OH · On-site
$107K - $128K/yr
Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...
Lead Data Engineer
Columbus, OH · On-site
$107K - $128K/yr
Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...
Lead Data Engineer
Columbus, OH · On-site
$107K - $129K/yr
... using Databricks LakeFlow, Apache Airflow, and ADF Oversee data ingestion and replication ... engineering or software development roles 3+ years in a technical leadership or lead engineer ...
Lead Data Engineer
Columbus, OH · On-site
$107K - $129K/yr
... using Databricks LakeFlow, Apache Airflow, and ADF Oversee data ingestion and replication ... engineering or software development roles 3+ years in a technical leadership or lead engineer ...
Software Developer - Data
New Bremen, OH · On-site
Stay informed of advances and pertinent changes in hardware and software technologies. Minimum ... Experience in Fabric, Starburst, Snowflake, Databricks, Trino * Experience leading smaller projects
Software Developer - Data
New Bremen, OH · On-site
Stay informed of advances and pertinent changes in hardware and software technologies. Minimum ... Experience in Fabric, Starburst, Snowflake, Databricks, Trino * Experience leading smaller projects
Stay informed of advances and pertinent changes in hardware and software technologies. Minimum ... Experience in Fabric, Starburst, Snowflake, Databricks, Trino * Experience leading smaller projects
Stay informed of advances and pertinent changes in hardware and software technologies. Minimum ... Experience in Fabric, Starburst, Snowflake, Databricks, Trino * Experience leading smaller projects
... Databricks). * Shape data architectures that balance throughput, latency, and cost across ... Transition software and platforms from prototype to production, ensuring maintainability ...
... Databricks). * Shape data architectures that balance throughput, latency, and cost across ... Transition software and platforms from prototype to production, ensuring maintainability ...
... Databricks). * Shape data architectures that balance throughput, latency, and cost across ... Transition software and platforms from prototype to production, ensuring maintainability ...
... Databricks). * Shape data architectures that balance throughput, latency, and cost across ... Transition software and platforms from prototype to production, ensuring maintainability ...
Distinguished AI Software Engineering Lead
Dayton, OH · On-site +1
... Databricks). * Shape data architectures that balance throughput, latency, and cost across ... Transition software and platforms from prototype to production, ensuring maintainability ...
Distinguished AI Software Engineering Lead
Dayton, OH · On-site +1
... Databricks). * Shape data architectures that balance throughput, latency, and cost across ... Transition software and platforms from prototype to production, ensuring maintainability ...
Stay informed of advances and pertinent changes in hardware and software technologies. Minimum ... Experience in Fabric, Starburst, Snowflake, Databricks, Trino * Experience leading smaller projects
Stay informed of advances and pertinent changes in hardware and software technologies. Minimum ... Experience in Fabric, Starburst, Snowflake, Databricks, Trino * Experience leading smaller projects
... Databricks). * Shape data architectures that balance throughput, latency, and cost across ... Transition software and platforms from prototype to production, ensuring maintainability ...
... Databricks). * Shape data architectures that balance throughput, latency, and cost across ... Transition software and platforms from prototype to production, ensuring maintainability ...
Senior Director of Software Engineering - AI & Data
Columbus, OH · On-site
$238K/yr
As a Senior Director of Software Engineering at JPMorganChase within Employee Platforms in ... Deep expertise with modern lakehouse and cloud data platform architectures, including Databricks at ...
Senior Director of Software Engineering - AI & Data
Columbus, OH · On-site
$238K/yr
As a Senior Director of Software Engineering at JPMorganChase within Employee Platforms in ... Deep expertise with modern lakehouse and cloud data platform architectures, including Databricks at ...
As a Senior Director of Software Engineering at JPMorganChase within Employee Platforms in ... Deep expertise with modern lakehouse and cloud data platform architectures, including Databricks at ...
As a Senior Director of Software Engineering at JPMorganChase within Employee Platforms in ... Deep expertise with modern lakehouse and cloud data platform architectures, including Databricks at ...
Senior Director of Software Engineering - AI & Data
Columbus, OH · On-site
$238K/yr
As a Senior Director of Software Engineering at JPMorganChase within Employee Platforms in ... Deep expertise with modern lakehouse and cloud data platform architectures, including Databricks at ...
Senior Director of Software Engineering - AI & Data
Columbus, OH · On-site
$238K/yr
As a Senior Director of Software Engineering at JPMorganChase within Employee Platforms in ... Deep expertise with modern lakehouse and cloud data platform architectures, including Databricks at ...
As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you are an ... Familiarity with Databricks is a plus, enabling contributions to data engineering, analytics ...
As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you are an ... Familiarity with Databricks is a plus, enabling contributions to data engineering, analytics ...
As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you are an ... Familiarity with Databricks is a plus, enabling contributions to data engineering, analytics ...
As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you are an ... Familiarity with Databricks is a plus, enabling contributions to data engineering, analytics ...
As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you are an ... Familiarity with Databricks is a plus, enabling contributions to data engineering, analytics ...
As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you are an ... Familiarity with Databricks is a plus, enabling contributions to data engineering, analytics ...
R&D Software Engineer -- AI/ML Mission Solutions Location: United States Work Model: Remote Travel ... MLOps tools or workflows such as MLflow, SageMaker, Databricks, Kubeflow, Airflow, Dagster, Prefect ...
Quick apply
R&D Software Engineer -- AI/ML Mission Solutions Location: United States Work Model: Remote Travel ... MLOps tools or workflows such as MLflow, SageMaker, Databricks, Kubeflow, Airflow, Dagster, Prefect ...
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 Ohio? For Databricks Software jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Ohio look for? The top searched job categories for Databricks Software jobs in Ohio are:
What cities in Ohio are hiring for Databricks Software jobs? Cities in Ohio with the most Databricks Software job openings:
Full-time
Posted 28 days ago
Job description
Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Lead Software Engineer within Asset & Wealth Management, you will build modern platform capabilities and own end-to-end delivery of secure services and APIs, collaborating with product and engineering teams to solve complex problems.
Responsibilities:
• Execute creative software solutions across design, development, and technical troubleshooting working as a senior developer individual contributor on a strategic client reporting and data platform.
• Engineer data pipelines, calculations, data distribution and reporting to be presented to Asset Management clients.
• Develop secure, high-quality production code, and mentor junior developers through code reviews, design sessions and knowledge sharing.
• Deliver technology solutions as part of an Agile Scrum team, contributing to sprint planning, complexity analysis, daily standups, and retrospectives to drive predictable outcomes.
• Partner with manager and Product Owner to use metrics to continuously improve practices to build a high performing team.
• Work directly with end users and Product Owners to communicate status, understand requirements, and ensure an understanding of how work aligns with business objectives.
• Collaborate with Scrum teams locally and across regions to share solutions, challenges, and best practices, improving consistency and delivery speed.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and service reliability.
Qualifications:
Required:
• Strong software engineering practices and 5+ years applied hands on experience.
• Track record of hands-on practical experience delivering system design, application development, testing, and operational stability.
• Strong Java skills with demonstrated Spring Boot and REST API development experience.
• Applied knowledge in data modeling and strong SQL skills.
• Proficiency in automation and continuous delivery methods (CI/CD).
• Proficiency across the Software Development Life Cycle, from design through build, test, release, and support.
• Advanced understanding of Agile engineering practices including continuous integration and delivery, application resiliency, and security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (for example, cloud, artificial intelligence, machine learning, or mobile).
Preferred:
• Experience building cloud-native solutions on Amazon Web Services.
• Python knowledge or a desire to learn independently.
• Knowledge of data pipeline tools such as PySpark, Snowflake, or Databricks.
• Financial services knowledge, with an understanding of how technology enables Asset & Wealth Management products and client experiences.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Lead Software Engineer within Asset & Wealth Management, you will build modern platform capabilities and own end-to-end delivery of secure services and APIs, collaborating with product and engineering teams to solve complex problems.
Responsibilities:
• Execute creative software solutions across design, development, and technical troubleshooting working as a senior developer individual contributor on a strategic client reporting and data platform.
• Engineer data pipelines, calculations, data distribution and reporting to be presented to Asset Management clients.
• Develop secure, high-quality production code, and mentor junior developers through code reviews, design sessions and knowledge sharing.
• Deliver technology solutions as part of an Agile Scrum team, contributing to sprint planning, complexity analysis, daily standups, and retrospectives to drive predictable outcomes.
• Partner with manager and Product Owner to use metrics to continuously improve practices to build a high performing team.
• Work directly with end users and Product Owners to communicate status, understand requirements, and ensure an understanding of how work aligns with business objectives.
• Collaborate with Scrum teams locally and across regions to share solutions, challenges, and best practices, improving consistency and delivery speed.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and service reliability.
Qualifications:
Required:
• Strong software engineering practices and 5+ years applied hands on experience.
• Track record of hands-on practical experience delivering system design, application development, testing, and operational stability.
• Strong Java skills with demonstrated Spring Boot and REST API development experience.
• Applied knowledge in data modeling and strong SQL skills.
• Proficiency in automation and continuous delivery methods (CI/CD).
• Proficiency across the Software Development Life Cycle, from design through build, test, release, and support.
• Advanced understanding of Agile engineering practices including continuous integration and delivery, application resiliency, and security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (for example, cloud, artificial intelligence, machine learning, or mobile).
Preferred:
• Experience building cloud-native solutions on Amazon Web Services.
• Python knowledge or a desire to learn independently.
• Knowledge of data pipeline tools such as PySpark, Snowflake, or Databricks.
• Financial services knowledge, with an understanding of how technology enables Asset & Wealth Management products and client experiences.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.