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Databricks Software Jobs in Kentucky (NOW HIRING)

JPMorgan Chase & Co.

As a Senior Lead Software Engineer at JPMorgan Chase within Enterprise technology AI/ML Data ... Expertise in application development and support with multiple technologies such as Databricks ...

Fivetran, Inc.

$227K - $283K/yr

You will own the entire global relationship with Databricks and become the main point of contact ... software industry * Demonstrated experience managing complex, global relationships * Deep ...

Immuta Inc.

$71K - $98K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta ... ABOUT THE ROLE As a Software Engineer II on the Request App Team, you'll independently deliver well ...

Permian Resources Corporation

Permian Resources (NYSE: PR) is seeking a Software Developer in Midland, TX, reporting to the ... Experience with Palantir Foundry and Databricks preferred; related platforms will be considered.

Granica Computing, Inc.

$90K - $119K/yr

Senior Software Engineer -- Distributed Compute / Spark Systems Location: Mountain View, CA -- On ... Improve performance and cost efficiency across Spark, Trino, Presto, Flink, Databricks, and ...

Mizuho Financial Group Inc.

$88K - $105K/yr

This is a hands-on software development role. You will be collaborating with teams firmwide to develop solutions.You'll support the development and maintenance of data pipelines on the Databricks ...

Unchain Data

$217K - $326K/yr

The Role We're hiring an experienced software engineer to build and own the data platform that ... Experience with Snowflake, Databricks, or comparable modern data platforms. * Experience with ...

Complexcare Solutions, Inc.

$171K - $200K/yr

Description Senior Software Data Architect This position is remote We are more than just a health ... Design scalable, secure, and high‑performance data pipelines using Databricks and modern ...

Gainwell Technologies

$68K - $97K/yr

Summary We are seeking a highly skilled Senior Power BI & Databricks ETL Engineer with deep ... and software * Experience supporting state Medicaid agencies, MMIS modernization, or Medicaid ...

Penn Foster Group

$84K - $101K/yr

As a Lead Data Engineer, you will serve as the technical leader for our Databricks Lakehouse ... Establish engineering standards for software development, testing, CI/CD, documentation ...

Arkatechture

$90K - $100K/yr

Software Engineer Department: Arkalytics - Support Employment Type: Full Time Location: Remote ... Solid SQL skills and experience working with relational databases (Snowflake or Databricks)

Qualcomm

Databricks Genie / QGenie**-powered natural-language querying over governed datasets, validating ... software/automation engineering, solutions engineering, or technical-functional roles.

The Travelers Indemnity Company

$126K - $208K/yr

Highly proficient in Cloud platforms (AWS preferred, Azure considered), Databricks (5-6 years), Python, and SQL, with hands-on experience applying fundamental data engineering practices. * Deep ...

Upstart

$90K - $119K/yr

As a Senior Software Engineer on the ML and Simulations Platform team at Upstart, you will be ... Python, Kotlin, Databricks, and AWS. * Exhibits a growth mindset. You pick up new technologies that ...

LMI Government Consulting

$84K - $101K/yr

This role will work directly within a Databricks-based War Data Platform (WDP) environment to assess existing DHA revenue-cycle data structures,identifyarchitectural and data-quality deficiencies ...

Granica Computing, Inc.

Senior Software Engineer -- Lakehouse Systems Location: Mountain View, CA -- On-site About Granica ... Flink, Databricks, and Snowflake-adjacent environments. What You'll Do * Build metadata and ...

Humana

Senior Software Engineer

Louisville, KY · On-site

$117K - $155K/yr

The Senior Software Engineer work assignments involve moderately complex to complex issues where ... Azure Databricks * Master's Degree Scheduled Weekly Hours 40 Pay Range The compensation range below ...

Humana, Inc.

Senior Software Engineer

Louisville, KY · On-site

$117K - $155K/yr

The Senior Software Engineer work assignments involve moderately complex to complex issues where ... Azure Databricks * Master's Degree Scheduled Weekly Hours 40 Pay Range The compensation range below ...

Humana

Senior Software Engineer

Louisville, KY · On-site

$117K - $155K/yr

The Senior Software Engineer work assignments involve moderately complex to complex issues where ... Azure Databricks * Master's Degree Scheduled Weekly Hours 40 Pay Range The compensation range below ...

Humana

Senior Software Engineer

Louisville, KY · On-site

$117K - $155K/yr

The Senior Software Engineer work assignments involve moderately complex to complex issues where ... Azure Databricks * Master's Degree Scheduled Weekly Hours 40 Pay Range The compensation range below ...

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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 are popular job titles related to Databricks Software jobs in Kentucky?

For Databricks Software jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Databricks Software jobs in Kentucky look for?

The top searched job categories for Databricks Software jobs in Kentucky are:

What cities in Kentucky are hiring for Databricks Software jobs?

Cities in Kentucky with the most Databricks Software job openings:

Databricks Software jobs near you
Infographic showing various Databricks Software job openings in Kentucky as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Lead Software Engineer- SRE

On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Other

Posted 12 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

As a Senior Lead Software Engineer at JPMorgan Chase within Enterprise technology AI/ML Data Platforms team, you will be instrumental in building scalable, resilient and market-leading data solutions. You will engage in root cause analysis, production changes, budgetary considerations, and staffing challenges. Your experience will be vital in managing and mentoring team members to drive strategic change, both within your team and in partnership with colleagues across JPMorgan Chase & Co.'s global network of innovators.

Job Responsibilities:

  • Expertise in application development and support with multiple technologies such as Databricks, Snowflake, AWS, Kubernetes, etc.

  • Coordinate incident management coverage to ensure effective resolution of application issues.

  • Collaborate with cross-functional teams to perform root cause analysis and implement production changes.

  • Mentor and guide team members to foster innovation and strategic change.

  • Drives adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.

  • Develop and support AI/ML solutions for troubleshooting and incident resolution.

Required qualification, skills and capabilities:

  • Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform

  • Proficiency in running production incident calls and managing incident resolution.

  • Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others

  • Strong understanding of SLI/SLO/SLA and Error Budgets

  • Proficiency in Python or PySpark for AI/ML modeling.

  • Demonstrated experience leading effective use of enterprise-authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security

  • Must be able to reduce toil by building new tools to automate repeated tasks.

  • Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery

  • Understanding of network topologies, load balancing, and content delivery networks.

  • Strong 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 senior engineers/leads on compliant usage patterns and controls.

Preferred Qualifications
  • 10+ years in an SRE or production support role with AWS Cloud, Databricks, Snowflake or similar Technologies.
  • AWS, Snowflake or Databricks certifications.
  • Awareness of risk controls and compliance with departmental and company‑wide standards.
  • Ability to work collaboratively in teams and build meaningful relationships to achieve common goals.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries

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