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Remote Ai Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139K/yr

... 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:

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

... 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:

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... Participate in remote assignments or attend on-site sessions when required * Follow project ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... Participate in remote assignments or attend on-site sessions when required * Follow project ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Programmer - AI Trainer

Milwaukee, WI · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Showing results 21-40

Remote Ai Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do remote ai data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote ai data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are the most commonly searched types of Ai Data Engineer jobs in Milwaukee, WI?

The most popular types of Ai Data Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Remote Ai Data Engineer jobs in Milwaukee, WI?

For Remote Ai Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Remote Ai Data Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Remote Ai Data Engineer jobs?

Cities near Milwaukee, WI with the most Remote Ai Data Engineer job openings:

Infographic showing various Remote Ai Data Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $127,802 per year, or $61.4 per hour.

Senior Director - Client Data Solutions

Cielo

Wauwatosa, WI • Remote

$103K - $139K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


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