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Home Based Data Storage Jobs in Wisconsin (NOW HIRING)

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

... and Python-based data science solutions * Referenceable work history developing interactive ... Willingness to travel four to six times per year with no more than 24 days away from home in a ...

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

... and Python-based data science solutions * Referenceable work history developing interactive ... Willingness to travel four to six times per year with no more than 24 days away from home in a ...

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC). * Design and optimize SQL and NoSQL data models for data lakes and warehouses ...

AWS Architect: Neenah, WI

Neenah, WI · On-site

$65.50 - $85.75/hr

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data ... Define data ingestion, transformation, and storage strategies using AWS native services (Glue ...

WI · On-site

$107 - $230/hr

... data storage industry. Here, you lead with innovative thinking, grow along with us, and join the ... We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy ...

WI · On-site

$90 - $130/hr

... of data storage! SUMMARY : As a Resident Customer Support Engineer you will be regarded as a VAST ... Your responsibilities will change and evolve based on the needs of the business. * Team player. Do ...

WI · On-site

$100 - $130/hr

Supporting cloud-based data exchange patterns and AWS-connected services * Ensuring code quality ... Experience with data pipelines or analytical storage flows using S3 / Athena / Glue * Familiarity ...

Showing results 21-40

Home Based Data Storage information

What is the difference between Home Based Data Storage vs Data Center Technician?

AspectHome Based Data StorageData Center Technician
CredentialsIT certifications, data management skillsIT certifications, network and hardware skills
Work EnvironmentRemote, home office setupOn-site data center facilities
Industry UsageData management, cloud storage servicesData center operations, hardware maintenance
Search & Comparison IntentRemote data storage jobs, data management rolesData center jobs, hardware technician roles

Home Based Data Storage roles focus on managing and maintaining data remotely, often involving cloud services and data security from a home setup. Data Center Technicians work on-site in physical data centers, handling hardware, network equipment, and infrastructure. Both roles require IT certifications but differ mainly in work environment and job responsibilities.

What are the most commonly searched types of Data Storage jobs in Wisconsin?

The most popular types of Data Storage jobs in Wisconsin are:

What job categories do people searching Home Based Data Storage jobs in Wisconsin look for?

The top searched job categories for Home Based Data Storage jobs in Wisconsin are:

Sr. Threat Detection & Automation Engineer (with focus on Data Engineering)

Northwestern Mutual Life Insurance Company

Milwaukee, WI

$102K - $134K/yr

Full-time

Re-posted 9 days ago


Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

166th of 311 rated insurance


Job description

About the Job:

We are looking for a highly motivated Security Automation Engineerwith experience in Data Engineeringto join NM'sSecurity Automation & Data Analyticsteam. As a member ofourteam, you willplay a pivotal role indesigning,building andmaintainingcontinuous and sustainableautomatedpipelineswith the goal of enhancing the efficiency, effectiveness and accuracy ofcybersecurity teams'capabilitiesreducing manual tasks fortheIRCteamsand enable data-driven cybersecurity operations.This role requires a mix ofmodern data engineering practices, experience in database structures and tooling,coding, clouddevelopment,and security domainexpertise.

What You'll Do:

  • Design, develop, andmaintainscalable data pipelines, datasets, and analytics products supportingIRCdepartment'sreporting and analyticscapabilities.
  • Developandmaintainenterprise-ready ETL/ELT processes and data transformation frameworksto support data-driven initiatives.
  • Design, buildand supportcloud-based data pipelinesand data lake architecturesusing software and data engineering best practices.
  • Ensure data quality, lineage, integrity, and governance standards are implemented throughout the data lifecycle.
  • Optimizeand troubleshoot existing data pipelines for performance and reliability, ensuring data quality and integrity across various data sources.
  • Identifyopportunities to automate workflows/processesand improve efficiency across cybersecurity teamsthrough SOAR playbooksandKubernetes-hostedand/orcloud-hosted pipelines.
  • Assistwith the design,engineering, deployment, andmaintenance ofcustom automation tools(primarilyinPython and PowerShell)
  • Develop integrationswithsecurity toolsand APIs.
  • Evaluate and implement emerging technologies to improve cybersecurity and analytics capabilities
  • Assistwith the developmentand supportofdashboards,metrics,andmonitoringalerts related totheteam's and the department'soperations.
  • Develop andmaintaindocumentation related totheteam's automated workflows/products.
  • Partner withdata scientists,analysts, engineers, andotherstakeholderstoidentifyrequirementsanddeliverhigh-quality solutions and insights.
  • Provide mentorship and coaching to junior team members, fostering skill development and encouraging continuous learning.

What You'll Bring to the Role:

  • 5+years of professional development experienceusingSQLandPython.
  • 5+years of professionalexperiencebuilding datapipelines(batch and/or streaming)and datagovernancepractices.
  • Hands-on experience with modern datawarehousesand large-scale data platforms (Databricks Preferred); comfortable working across large-scale,structuredand unstructured data.
  • Deep understanding of database structures principles and best practices
  • Deep understanding of data modeling,ETL/ELT design,data engineering best practices,including dataintegrationpatterns, replication,eventstreaming,and pipeline performance tuning.
  • Hands-on experience withsecurity automation and orchestration tools and/or software development technologies.
  • Comfortable with REST API best practices and usage.
  • Hands-on experience deploying contentand/or systems through CI/CDenvironments, and tooling such as GitLab, GitLab CI, Terraform, Ansible,Kubernetesetc.
  • Hands-on experience with AWS and cloud services configuration and development.
  • Excellent written andverbalcommunicationsskills.
  • Ability to communicatewithtechnical and non-technical audiences.

Preferred Skills:

  • Bachelor's degree in computer science, Cybersecurity, ComputerEngineering,Data Engineering,Software Engineering, or related fields
  • Relevant industry certifications are preferred, such as AWS Certified Data Engineer - Associate Databricks, Certified Data Engineer Associate, or Databricks Certified Data Engineer Professional, demonstrating expertise in modern cloud-based data engineering, analytics, and data platform technologies.
  • Experience withDatabricks
  • Experience with SOAR and SIEM platforms.
  • Practical experience with automation techniquesusingPowerShell, Bash,JavaScript,API calls, and regular expressions
  • Additionalcoding experience in one or more programming languages - Java, C++, Go
  • ServiceNowdevelopment experience
  • Experience with network and/or systems administration
  • Experience working in Security Operations, Incident Response, or Penetration Testing
  • Hands-on experience with security technologies such as firewalls, IDR/IPS, EDR, IAMprinciplesand others.


What Sets you apart:

  • Adaptive Communication - Adaptive Communication: Formulates strategies to be used to convey complex information about services, products, systems, or processes to targeted audiences; communicates and liaises between technical and non-technical audiences.
  • Data Architecture - Data Architecture: Designs and maintains the structure of logical and physical data assets and data management resources; develops and governs policies and processes for data collection, storage, arrangement, integration, and usage of data.
  • Data ETL - Data ETL: Extracts, transforms, and loads data from multiple sources to a data warehouse or unified data repository.
  • Databases & Data Platforms - Databases & Data Platforms: Utilizes knowledge of databases to access, manage, and update information, typically containing aggregations of data records or files; includes understanding of different types of databases.
  • Engineering Expertise & Practices - Engineering Expertise & Practices: Applies specialized experiences in different facets of engineering, including data, applications, cyber, systems, operations, product, security, and testing, along with technical aptitude to adapt new expertise as they become relevant through an understanding of underlying engineering principles.
  • Programming Languages - Programming Languages: Demonstrates proficiency in one or more programming languages to execute activities, tasks, practices, and deliverables associated with writing and modifying programs and scripts that comprise an application system; designs, codes, tests, and installs complex computer programs and maintains detailed documentation of programming tasks.
  • SQL - SQL: Applies clear, logical codes for small and large-scale projects using the language constructs and object-oriented approach of SQL to manage data in a database management system.

#LI-Hybrid

Compensation Range:

Pay Range - Start:

$130,800.00

Pay Range - End:

$196,200.00

Geographic Specific Pay Structure:

Structure 110:

Structure 115:


We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.


Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!


Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.



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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US