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Databricks Software Jobs in Sheboygan, WI (NOW HIRING)

Databricks Software information

See Sheboygan, WI salary details

$47.8K

$111.5K

$165.4K

How much do databricks software jobs pay per year?

As of Jun 23, 2026, the average yearly pay for databricks software in Sheboygan, WI is $111,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $129,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

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.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

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. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

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 scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

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.

Sr. Systems Analyst - Strategic Sourcing

Sr. Systems Analyst - Strategic Sourcing

Kohler Co.

Kohler, WI โ€ข On-site

$85K - $130K/yr

Full-time

Posted 3 days ago


Job description

Sr. Systems Analyst - Strategic Sourcing
Work Mode: Onsite
Location:Onsite, 4 days per week -Kohler, WI
Opportunity
To continue leading Kohler's data and analytics discipline within Strategic Sourcing, we are looking for a data analytics and tools developer to join our global team! This role sits at the intersection of Strategic Sourcing, data architecture, and governance, with responsibility for turning complex, fragmented data into trusted insights used by senior leaders across a global organization-supporting better category strategies, savings delivery, and risk-informed decision making at scale.
KEY RESPONSIBILITIES
  • Design, build, and maintain analytical tools and dashboards supporting sourcing, category strategy, savings tracking, supplier performance, and risk insights-including defining requirements with stakeholders and documenting intended (to-be) reporting capabilities.
  • Assess and elevate implications of complex (and sometimes contradictory) data trends- including geopolitical and economic risks, cost optimization, and category strategy-and translate findings into clear, decision-ready insights for key stakeholders.
  • Establish, enforce, and collaborate on data governance standards, definitions, and quality controls to ensure consistency and reliability across regions and departments (including Finance and Digital/IT); document requirements, maintain change control, and promote traceability from definitions to reporting outputs.
  • Automate data collection and reporting where possible to reduce manual effort, improve scalability, and optimize work processes using accuracy/quality metrics and continuous improvement practices.

KEY SKILLS
  • Uphold high ethical standards, and exercise unwavering integrity with all tasks, and communication.
  • Ability to transform complex data for non-technical audiences, and accomplish effective data storytelling to senior leaders and stakeholders.
  • Customer focused - build consensus, collaborative relationships, and communicate effectively in the presence of multiple requests from customers.
  • Champion data security and integrity and support process improvements to close
  • Action Planning & Planning/Organizing: convert requirements into executable plans, prioritized backlogs, and delivery milestones.
  • Documentation: create and maintain high-quality technical/user documentation and knowledge assets.

KEY COMPETENCIES
  • Manages Complexity: make sense of complex and sometimes contradictory information to solve problems and identify root causes.
  • Optimizes Work Processes: use metrics/benchmarks to improve accuracy, quality, and efficiency; address process breakdowns promptly.
  • Action Oriented: act with urgency on important issues; pursue opportunities that benefit the organization.
  • Cultivates Innovation: create new and better ways of working; contribute and build on others' ideas.
  • Business Insight: apply knowledge of business and marketplace drivers to inform solutions and recommendations.
  • Customer Focus: build strong stakeholder relationships and deliver customer-centric solutions.

Skills/Requirements
  • Bachelor's degree in business, supply chain, engineering, analytics, or related field.
  • 5+ years of experience in analytics, procurement analytics, data governance, or related roles.
  • Hands-on experience with analytics and reporting tools (e.g., ERP/SAP, Power BI, Excel, SQL/Azure, DataBricks, SharePoint, or similar platforms).
  • Working knowledge of manufacturing, supply chain, strategic sourcing, procurement, or similar processes.
  • Experience with data security levels, SOX 404 controls, and supplier management platforms
  • Investigate new software platforms and tools and recommend automated solutions for repetitive reporting.

#LI-BV1
#LI-Onsite
Applicants must be authorized to work in the US without requiring sponsorship now or in the future.
We believe in supporting you from the moment you join us, which is why Kohler offers day 1 benefits. This means you'll have access to your applicable benefit programs from your first day on the job, with no waiting period. The salary range for this position is $85,400 - $130,300. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate's experience, their education, and the work location. In addition, this position is eligible for a performance bonus/variable incentive compensation.
Why Choose Kohler?
We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we're driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives.
About Us
It is Kohler's policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact kohlerjobs@kohler.com. Kohler Co. is an equal opportunity/affirmative action employer.