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Overnight Databricks Data Engineer Jobs in Milwaukee, WI

Senior Director DevOps

Milwaukee, WI · On-site

$128K - $164K/yr

... data engineering, NoSQL, and microservices architecture; 6 years building end-to-end architecture with Cloudera and Kafka in on-prem and AWS/Azure; 6 years working with Databricks, Snowflake or ...

... with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model ... ML, Databricks ML, and AWS SageMaker; and 2 years contributing to GitHub and open-source ...

Support CI/CD implementation and DevOps processes for Informatica deployments. * Mentor development ... Azure Data Factory (ADF) * Databricks * Delta Lake * Terraform * Git/GitHub * Jenkins * CI/CD ...

Cyber Data Protection Manager

Milwaukee, WI · Remote

$109K - $147K/yr

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ... M365 security, Databricks, Snowflake) * 3+ years of professional experience developing data ...

Senior Supply Chain Analyst

Milwaukee, WI · On-site

$77K - $95K/yr

Bachelor's degree in Business, Mathematics, Information Technology, Data Science, Engineering, or a ... Advanced experience with Microsoft Excel, SQL, Power BI, and Databricks * Advanced experience using ...

Senior Supply Chain Analyst

Milwaukee, WI

$77K - $95K/yr

Bachelor's degree in Business, Mathematics, Information Technology, Data Science, Engineering, or a ... Advanced experience with Microsoft Excel, SQL, Power BI, and Databricks * Advanced experience using ...

Showing results 41-60

Overnight Databricks Data Engineer information

What is the difference between Overnight Databricks Data Engineer vs Data Engineer?

AspectOvernight Databricks Data Engineer
Work EnvironmentPrimarily remote or on-site, working overnight shifts to support global data operations
CertificationsDatabricks certifications, cloud platform credentials (AWS, Azure), data engineering certifications
Tools & TechnologiesDatabricks platform, Spark, cloud services, SQL, Python, ETL tools
Industry UsageTech, finance, healthcare, retail with 24/7 data needs

While both roles focus on data engineering, the Overnight Databricks Data Engineer specializes in managing data pipelines on the Databricks platform during overnight shifts, often supporting global operations. A Data Engineer may work across various platforms and shifts, with broader responsibilities in data architecture and pipeline development. The overnight role emphasizes specific platform expertise and shift timing, catering to organizations with continuous data processing needs.

What unique challenges do overnight Databricks data engineers face, and how can they be addressed?

Overnight Databricks Data Engineers often work with limited real-time support, which can present challenges when troubleshooting urgent data pipeline issues or system outages. To address this, it’s essential to develop strong problem-solving skills, document processes thoroughly, and leverage automated monitoring and alerting tools. Additionally, close collaboration with daytime teams during handoff periods ensures continuity and minimizes disruptions. Building a habit of proactive communication and maintaining detailed logs helps the entire team resolve issues efficiently and maintain data quality.

What skills and qualifications are needed to thrive as an overnight Databricks data engineer?

To thrive as an Overnight Databricks Data Engineer, you need strong proficiency in data engineering, Python or Scala programming, and experience with big data technologies, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and certifications like Databricks Certified Data Engineer are highly valued. Attention to detail, problem-solving, and effective communication are essential soft skills, especially for troubleshooting and collaborating across shifts. These competencies ensure reliable data pipeline management and efficient resolution of issues during off-hours, maintaining seamless business operations.

What is an overnight Databricks data engineer?

An Overnight Databricks Data Engineer is a professional who works primarily during night shifts to manage, design, and maintain big data pipelines and workflows using Databricks, a cloud-based data analytics platform. Their responsibilities often include developing and optimizing data processing jobs, ensuring data quality, and troubleshooting issues that arise during overnight data operations. This role is critical for organizations that require 24/7 data processing, continuous ETL jobs, or real-time analytics. Working overnight may also involve monitoring automated systems, performing scheduled data loads, and collaborating with global teams to ensure data availability and reliability.
What are the most commonly searched types of Databricks Data Engineer jobs in Milwaukee, WI? The most popular types of Databricks Data Engineer jobs in Milwaukee, WI are:

Sales Operations - Business Intelligence Engineer II

Milwaukee Tool

Milwaukee, WI • On-site

$50.25 - $65.25/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 28 days ago


Job description

Job Description:
INNOVATE without boundaries!
At Milwaukee Tool, we believe our People and our Culture are the keys to our success - so we give you the tools and support to make a real impact.
Inside our doors, you will be empowered to build, collaborate, and evolve as part of a fast-paced team that is redefining how data drives decisions across the business.
**Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.**
Your Role on Our Team:
As a Business Intelligence Engineer, you will help design and deliver solutions that enable smarter, faster decisions across functions. You will work closely with business partners to understand analytical needs and contribute to building trusted data assets, reports, and dashboards. You will deepen your technical skill set while growing your understanding of the business and refining how you communicate insights.
You'll be DISRUPTIVE through these duties and responsibilities:
  • Leverage AI Solutions: Leverage AI-powered features, such as natural language queries, automated insights and prompts, in BI platforms to accelerate report creation and deliver actionable business insights.
  • Dashboard Development: Build reports and dashboards in Power BI, Databricks and similar tools, that provide operational visibility and provide data-driven business decisions.
  • Collaborative Requirements Gathering: Collaborate with stakeholders to gather and clarify reporting and data needs that align with strategic goals and objectives.
  • Agile Project Execution: Participate in sprint planning, estimation, reviews, and retrospectives. Break down work into manageable deliverables aligned with business priorities.
  • Stakeholder Communication: Communicate insights, progress, and blockers clearly and regularly with cross-functional partners.
  • Data Governance & Security: Follow best practices for role-based access, data privacy, and report-level security.
  • Modeling Support: Contribute to the design of semantic models and datasets that are performant, reusable, and easy to understand.
  • Documentation: Help maintain documentation for models, metrics definitions, and reporting processes to ensure shared understanding.
  • Self-Service Support: Assist in enabling business users through clear documentation, curated datasets, and support for self-service reporting environments.
  • Troubleshooting: Debug and resolve issues or data inconsistencies using structured investigation.
  • Continuous Learning: Actively grow your BI tool expertise and share learnings with the team and cross-functional partners.

The TOOLS you'll bring with you:
  • Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience).
  • Years of Experience: 3+ years of experience in BI development, data analytics, or data visualization roles.
  • BI Tool Expertise: Hands-on experience with Power BI, Tableau, or Looker. Able to build interactive dashboards and maintain datasets.
  • SQL: Working knowledge of SQL (joins, filters, aggregations, basic CTEs).
  • Data Modeling: Familiarity with dimensional modeling (star/snowflake schema) and semantic layers.
  • Cloud & Data Platforms: Experience with cloud environments such as Azure, Snowflake, or Databricks for data transformation and modeling.
  • Agile Experience: Experience working within Agile development processes, including participating in sprint planning, reviews, and backlog grooming.
  • Storytelling & Insight Delivery: Ability to interpret trends and communicate basic insights to stakeholders.
  • Business Acumen: Demonstrates a growing understanding of business processes and how analytics influence decisions.

Other TOOLS we prefer you to have:
  • Experience with Azure DevOps: Familiarity with Azure DevOps for managing workflows, integrating with Power BI, and streamlining project pipelines.
  • Version Control - Git: Exposure to using Git for source control, versioning, and collaboration on BI or analytics assets.
  • Knowledge of Power Automate: Ability to use Power Automate to enhance reporting processes by automating repetitive tasks and improving data workflows within the Microsoft ecosystem.
  • Data Governance Tools: Familiarity with tools like Databricks Unity Catalog or Azure Purview for managing data governance, lineage, and quality across the organization's data assets.
  • Custom Visuals in Power BI: Experience creating or implementing custom visuals in Power BI to deliver more tailored and impactful reports.

Working Conditions:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace.
  • Sitting for prolonged periods of time
  • Prolonged exposure to computer screens
  • Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools.
  • Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
  • May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection.
  • May work in laboratories and/or controlled, enclosed, restricted areas.
  • Noise levels range from moderate to loud.
  • Must be able to lift up to 50 pounds at a time.
  • May require travel dependent on company needs.

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans
  • Generous 401 (K) savings plan
  • Education assistance
  • On-site wellness, fitness center, food, and coffee service • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.