1

Databricks Software Jobs in Ohio (NOW HIRING)

As a Senior Lead Software Engineer at JPMorganChase within, Consumer & Community Banking - Deposits ... Build and optimize data pipelines using Databricks and Apache Spark to enable analytics and machine ...

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+ ...

As a Senior Lead Software Engineer at JPMorganChase within, Consumer & Community Banking - Deposits ... Build and optimize data pipelines using Databricks and Apache Spark to enable analytics and machine ...

As a Senior Lead Software Engineer at JPMorganChase within, Consumer & Community Banking - Deposits ... Build and optimize data pipelines using Databricks and Apache Spark to enable analytics and machine ...

As a Senior Lead Software Engineer at JPMorganChase within, Consumer & Community Banking - Deposits ... Build and optimize data pipelines using Databricks and Apache Spark to enable analytics and machine ...

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 ...

$91K - $123K/yr

... Databricks, container etc.  * Experience in design, integration, development and testing mid-complex software solutions.  * Develop, code, configure, and test SaaS system extensions as well as ...

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

This is a W2 role Short We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code ...

Senior ML Software Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

You will be the primary software engineering expert for a product area, working as part of a cross ... Familiarity with Databricks or similar platforms * Experience supporting high-volume, real-time ...

Showing results 41-60

Databricks Software information

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.

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 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 is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone 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 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:

Lead Software Engineer - Ab Initio

J.P. Morgan

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 3 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Build the data foundations that enable trusted insights, stronger controls, and better outcomes across the firm through scalable, well-governed data platforms.

As a Lead Software Engineer at JPMorganChase within Corporate Technology's Data Governance and Controls Technology team, you will design and deliver secure, resilient, and high-performing data solutions that improve how data is governed, accessed, and used. You will partner across business, analytics, and technology teams, while mentoring engineers and setting technical standards that raise quality and reliability at scale.

Job responsibilities

  • Design and deliver scalable batch data pipelines with strong performance, fault tolerance, and end-to-end observability.
  • Develop and operate workflow orchestration to schedule, monitor, and manage data movement and transformations with clear operational ownership.
  • Translate complex business requirements into technical solutions aligned to data lake and data warehousing standards.
  • Establish and maintain governance processes for data modeling, cataloging, ownership, lineage, and access control to improve trust and transparency.
  • Optimize large-scale distributed processing workloads through performance tuning, efficient storage/compute patterns, and resilient runtime design.
  • Mentor engineers through technical reviews, standards, and knowledge sharing to strengthen engineering excellence and consistency.
  • Perform advanced quantitative analysis on large datasets to uncover trends and drive data-informed decisions.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and pipeline analysis (e.g., drafting documentation), validating outputs and handling data according to sensitivity and security requirements.
  • Applies reuse-first, AI-assisted practices within SDLC/toolchain automation to reduce manual toil while maintaining security, resiliency, and traceability/auditability expectations.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 5+ years of data engineering experience building and operating production-grade data pipelines in cloud environments.
  • Deep expertise with Amazon Web Services data platforms and data lake architectures, including hands-on experience with Ab Initio.
  • Hands-on experience with modern data lake and warehousing technologies (for example, Databricks and Snowflake) and processing engines such as Spark and Flink.
  • Proficiency in SQL and experience with Oracle Database plus one or more scripting/programming languages (for example, Java, Perl, or Unix scripting).
  • Experience applying Agile delivery practices, including prioritizing backlogs and leading team ceremonies to drive continuous improvement.
  • Experience with large-scale distributed data processing, performance tuning, and reliability practices (monitoring, alerting, and incident response readiness).
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

  • Experience with data modeling using Erwin.
  • Amazon Web Services certification and/or Databricks certification.
  • 8+ years of overall experience, including a strong track record as an individual contributor and demonstrated experience leading technical direction for teams.
  • Experience implementing data governance capabilities (for example, data cataloging, lineage, stewardship workflows, and access controls) in enterprise environments.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.