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Databricks Software Jobs in Wisconsin (NOW HIRING)

Baker Tilly US

Associate Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Responsibilities : • Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for ...

Baker Tilly US

Associate Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Responsibilities : • Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for ...

SynergisticIT

Junior Fullstack Engineer

Madison, WI

... or software programming Spring boot, Microservices, AWS, Docker, Jenkins, Github, Kubernates and ... Statistics, Databricks, Snowflake, Pyspark, PowerBI, Tableau, Gen AI, LLM, Sagemaker, Python ...

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

Cliftonlarsonallen

Senior AI Engineer

Racine, WI

$98K - $134K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to ... Build and deploy AI workflows within Azure and Databricks environments * Develop robust evaluation ...

Cliftonlarsonallen

Senior AI Engineer

Madison, WI

$105K - $144K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to ... Build and deploy AI workflows within Azure and Databricks environments * Develop robust evaluation ...

Exact Sciences

Staff Data Engineer - Science

Madison, WI

$115K - $138K/yr

Troubleshoot issues and problems of high complexity for major software applications; break down ... Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines.

Moxe

Senior Data Engineer

Madison, WI

$120 - $160K/hr

Expert at developing complex software and data pipelines in Python, Airflow, DBT, Databricks, C# / .NET * Expert with unit, integration and data quality testing * Expert understanding of relational ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

... software such as ASReml, BLUPF90, Fortran, R, Python, and SQL. * Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks * Proficient in Microsoft Office ...

Trans Ova Genetics

Quantitative Geneticist

Madison, WI · On-site

... software such as ASReml, BLUPF90, Fortran, R, Python, and SQL. * Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks * Proficient in Microsoft Office ...

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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 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.

What are popular job titles related to Databricks Software jobs in Wisconsin? For Databricks Software jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Wisconsin look for? The top searched job categories for Databricks Software jobs in Wisconsin are:
What cities in Wisconsin are hiring for Databricks Software jobs? Cities in Wisconsin with the most Databricks Software job openings:
Databricks Software jobs near you
Digital Technology Data Scientist Lead

Digital Technology Data Scientist Lead

Software Guidance & Assistance

Oshkosh, WI

Other

Posted 28 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Scientist Lead for a Direct Hire opportunity with one of our premier clients in Oshkosh, WI.
SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.
YOUR IMPACT:
Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.
Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns.
Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.
Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.
Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products.
Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
Coach and mentor other team members on new technologies and best practices across data science and business intelligence.
Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. Actively supports the advancement of the strategic roadmap for data science.
MINIMUM QUALIFICATIONS:
Bachelors degree with five (5) or more years of experience in the field or in a related area.
STANDOUT QUALIFICATIONS:
Masters or doctorate degree
Expertise in Power Platforms
Familiarity with LLM (open source or closed)
Experience in Front end web app development (Flaskapp, Gradio etc)
Familiarity with RAG architecture
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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