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Remote Data Modeler Jobs in Milwaukee, WI (NOW HIRING)

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ... Collaborate with AI Engineering to ensure enterprise data supports AI/ML model development ...

Johnson Controls

Senior Modeling Engineer

Milwaukee, WI · On-site +1

$103K - $141K/yr

What You Will Do Johnson Controls' Data Center Thermal Technology Solutions group is seeking a ... also be a remote opportunity for the right candidate! How You Will Do It * Develop numerical ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB ... Understanding of networking fundamentals (DNS, Hub-Spoke model, On-prem, VWAN) * Any cloud ...

micro1 AI

Private Funds Attorney - Remote

Milwaukee, WI · Remote

$80 - $105/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Private Funds Attorney - Remote

Milwaukee, WI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Legal AI Trainer - Remote

Milwaukee, WI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Legal AI Trainer - Remote

Milwaukee, WI · Remote

$80 - $105/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Pkaza

Scheduler Data Center Owners Rep

Milwaukee, WI · Remote

... commissioning models * Perform risk assessments and "what-if" scenario analysis to identify ... Lead and mentor a team of remote consultants, supporting their development and optimizing workload

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How much do remote data modeler jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote data modeler in Milwaukee, WI is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $67.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Modeler position, and why are they important?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a typical day look like for a Remote Data Modeler?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a Remote Data Modeler job?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are the most commonly searched types of Data Modeler jobs in Milwaukee, WI? The most popular types of Data Modeler jobs in Milwaukee, WI are:
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Remote Data Modeler jobs near you
Senior Director - Client Data Solutions

Senior Director - Client Data Solutions

Cielo

Wauwatosa, WI • On-site, Remote

$103K - $139K/yr

Full-time

Posted 28 days ago

Job description

Company Description
Are you ready to accelerate your career? Join Cielo as a Senior Director - Client Data Solutions! A career at Cielo will give you the opportunity to work with the industry's smartest people and to take ownership of your success!
Cielo is a brand that reflects our big idea - that talent is rising - and with it our opportunity to rise above. We create careers for ambitious people by moving beyond traditional assumptions of what it means to work in talent acquisition.
Cielo is the world's leading Talent Acquisition Partner. We deliver a better talent experience for everyone through Talent Acquisition, Search, Consulting, and Digital Accelerators™. With our fresh approach - we design and build comprehensive, proven solutions inspired by technology to find and keep the unique talent that elevates our clients above the competition.
Cielo is an equal opportunity employer and will not discriminate against any applicant for employment because of race, color, religion, sex, national origin, disability, age, genetic information, or any other status protected by state or local law for an individual who falls within the jurisdiction of such law. Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting Cielo Talent Acquisition at talent.acquisition@cielotalent.com
Job Description
The Senior Director - Client Data Solutions is a strategic leadership role responsible for defining and delivering the organization's end-to-end client data ecosystem, including client integrations (ATS and external systems), data engineering, and client-facing reporting solutions.
This role ensures seamless, scalable data flow from client environments into internal systems and productized data solutions, owning the design, delivery, and reliability of integrations that enable consistent, high-quality dashboards and reporting experiences. The Senior Director - Client Data Solutions is accountable for templated, analytics-ready data products that power client reporting, while partnering with Business Intelligence and analytics teams who drive insight generation and ad hoc analysis.
As a senior member of the Client Technology leadership team, this role works closely with Product Management, AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution.
Role: Remote - United States
Work set up: Monday to Friday - FTE
Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most efficient and stable ways to extract client data, Ensure correct integration into internal systems then translate into accurate reporting and dashboards?
Duties and Responsibilities:
  • Lead, mentor, and scale Data Engineering, Integration Engineering, and Client Reporting teams, providing technical guidance, career development, and performance management.
  • Define and execute the organization's data integration and client data strategies, spanning integrations, data platform, and reporting enablement.
  • Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact.
  • Partner with executive stakeholders across Product, AI Engineering, and Client Services to align data capabilities with business priorities.
  • Contribute to Engineering Leadership governance, including technical standards, architecture, and long-term strategy.
  • Drive technical direction for data architecture, integration patterns, and platform scalability.
  • Oversee the design and delivery of scalable, reliable data integration pipelines and integration workflows across client systems and internal platforms.
  • Establish best practices for data engineering, including testing, deployment, observability, and documentation.
  • Guide implementation of data quality, monitoring, and reliability frameworks.
  • Ensure compliance with data governance, security, and regulatory requirements.
  • Continuously evaluate and evolve the data technology stack to support growth and innovation.
  • Own the strategy and delivery of client-facing data products, including dashboards, reporting layers, and embedded data experiences.
  • Deliver scalable, templated reporting solutions that reduce reliance on custom, one-off reporting.
  • Partner with Client Services and Operations to translate business needs into reusable, analytics-ready data models.
  • Establish and maintain semantic layers, standardized metrics, and governed data definitions.
  • Ensure performance, usability, and consistency of data powering all client reporting experiences.
  • Collaborate with Product Management to embed reporting capabilities into core platform offerings.
  • Partner with Product Management to align data capabilities with product roadmaps and client value propositions.
  • Collaborate with AI Engineering to ensure enterprise data supports AI/ML model development, deployment, and consumption.
  • Work closely with client-facing teams to understand customer needs and deliver scalable, repeatable data solutions.
  • Act as a bridge between technical and business stakeholders to drive alignment and clarity on data initiatives.
  • Champion a data-driven culture across the organization.
  • Oversee planning, prioritization, and execution of data integration and platform initiatives.
  • Manage budgets, vendor relationships, and data-related technology investments.
  • Establish processes for monitoring, troubleshooting, and maintaining production data systems.
  • Drive continuous improvement in scalability, reliability, and efficiency of data operations.
  • Enable faster delivery of reporting capabilities through standardization and reusable data assets.

Supervisory Responsibilities:
The Senior Director - Client Data Solutions will assist with daily activities, provide guidance, conduct performance reviews, and support the professional growth of the Data Engineering, Integration Engineering, and Client Reporting leaders.
Qualifications
Position Requirements
Education:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred

Experience:
  • 8+ years of experience in data engineering, data platforms, or integration roles
  • 5+ years of experience leading technical teams, including managing managers
  • Deep experience with modern data architecture, ETL/ELT, and integration frameworks
  • Proven track record of delivering client-facing data solutions or data products at scale
  • Demonstrated ability to align technical solutions with business outcomes
  • Strong understanding of our core tech stack: AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and NoSQL (Redis, DynamoDB)
  • Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL)
  • Experience with API design, development, and integration patterns
  • Experience working with AI/ML teams to support data requirements for model development and deployment
  • Track record of successfully delivering complex data integration projects that meet business requirements
  • Experience in talent acquisition technology, HR systems, or related industries preferred

Exposure:
  • Knowledge of data governance, security, and compliance requirements
  • Proficiency in data quality management and monitoring tools
  • Understanding of the full life cycle of project/program execution following established project management methodology
  • Demonstrate expert knowledge of talent acquisition platforms, tools, products, and other complimentary technologies to support these platforms
  • Deep subject matter expertise in a variety of workstreams (change management, risk assessment, compliance, sponsorship modelling, user acceptance testing, end-to-end testing, end user training, communications, resistance management, launch planning, and configuration)
  • Commercially astute
  • Proficient in Word, Excel, PowerPoint, Outlook, Smartsheet, Lucidchart, and other related productivity software

Additional Information

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