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Whl Jobs (NOW HIRING)

Data Engineer (Databricks + Python + Azure)

Dallas, TX ยท On-site +1

$113K - $136K/yr

Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes * Applied experience in SQL, Stored ...

Sr Manager, Claims

$74K - $102K/yr

... the WHL product. Additionally, you will participate in thorough investigations, settlements and legal reviews, as needed. Claims Operations Leadership * Oversee end-to-end claims processing ...

$74K - $102K/yr

... the WHL product. Additionally, you will participate in thorough investigations, settlements and legal reviews, as needed. Claims Operations Leadership * Oversee end-to-end claims processing ...

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How much do whl jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for whl in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is the difference between Whl vs Welder?

AspectWhlWelder
Required CertificationsHVAC or refrigeration certifications, depending on specializationWelding certifications such as AWS or ASME
Work EnvironmentMechanical rooms, HVAC systems, refrigeration unitsConstruction sites, manufacturing plants, metal fabrication shops
Industry UsageHVAC, refrigeration, appliance repairConstruction, manufacturing, metalwork

Whl (Wheel Technician) and Welder roles share some technical certifications but differ mainly in work environment and industry focus. Whl technicians primarily work on HVAC and refrigeration systems, while welders focus on metal fabrication and construction. Both roles require technical skills, but their daily tasks and industry applications vary significantly.

What are the key skills and qualifications needed to thrive as a WHL (Warehouse Logistics Handler), and why are they important?

To thrive as a Warehouse Logistics Handler, you need strong organizational skills, attention to detail, and an understanding of inventory management, often supported by a high school diploma or equivalent. Familiarity with warehouse management systems (WMS), barcode scanners, and forklifts is typically required, and certifications like OSHA forklift certification can be advantageous. Reliability, physical stamina, teamwork, and effective communication are vital soft skills in this role. These abilities are crucial for ensuring efficient warehouse operations, accurate order fulfillment, and a safe work environment.

Could you clarify the typical responsibilities and work environment for someone in a Warehouse Loader (Whl) role?

As a Warehouse Loader, your primary responsibilities include loading and unloading goods, verifying shipment information, and ensuring items are handled safely to prevent damage. The work environment is typically fast-paced and may require you to operate machinery such as forklifts or pallet jacks. You'll work closely with warehouse team members, supervisors, and sometimes delivery drivers to coordinate the flow of goods. Attention to detail and strong communication skills are important, as accuracy and efficiency are key to success in this role.

What are WHL jobs?

WHL jobs refer to positions within the Western Hockey League (WHL), a major junior ice hockey league based in Western Canada and the Northwestern United States. These jobs can include roles such as coaches, scouts, trainers, administrative staff, marketing professionals, and more. Working for the WHL or its teams involves supporting the development of young hockey players and contributing to the operations of the league. Positions vary in requirements, but a passion for hockey and sports management is often essential. WHL jobs can be an entry point into a career in professional sports or sports administration.
What are the most commonly searched types of Whl jobs? The most popular types of Whl jobs are:
What states have the most Whl jobs? States with the most job openings for Whl jobs include:
Infographic showing various Whl job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Data Engineer (Databricks + Python + Azure)

Allata

Dallas, TX โ€ข On-site, Remote

$113K - $136K/yr

Full-time

Posted 20 days ago


Job description

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance-to deliver measurable results and build lasting partnerships.
We are seeking a skilled Data Engineer to join our team and contribute to data-driven initiatives within the healthcare industry. This role focuses on designing, building, and optimizing scalable data solutions that support analytics, reporting, and advanced data use cases in regulated environments.
Role & Responsibilities:
  • Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python.
  • Build and optimize ETL/ELT processes within Azure cloud environments.
  • Implement data models following modern Data Lakehouse principles (e.g., Medallion architecture).
  • Ensure data quality, consistency, and performance across ingestion, staging, and curated layers.
  • Collaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions.
  • Develop reusable data transformation logic and modular processing components.
  • Support deployment processes following CI/CD and DevOps best practices.
  • Monitor and optimize data workflows for performance, scalability, and reliability.
  • Contribute to data governance, security, and compliance practices relevant to healthcare environments.

Hard Skills - Must have:
  • Current knowledge of an using modern data tools like (Databricks,FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes
  • Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes
  • Applied experience in SQL, Stored Procedures, and Pysparkbased on area of data platform specialization.
  • Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Auroraor a comparable engine.
  • Strong experience with batch and streaming data processing techniques and file compactization strategies.

Hard Skills - Nice to have/It's a plus:
  • Strong hands-on experience with Databricks in Azure environments.
  • Advanced proficiency in Python and PySpark for distributed data processing.
  • Experience building and optimizing data pipelines in Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc.).
  • Solid understanding of data warehousing, data lakehouse concepts, and ETL/ELT frameworks.
  • Experience working with relational databases such as SQL Server, PostgreSQL, Oracle, or similar.
  • Knowledge of batch and streaming data processing patterns.
  • Experience working with large, complex datasets in cloud-based distributed environments.

Soft Skills / Business Specific Skills:
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in cross-functional and distributed teams.
  • Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Proactive mindset with a strong sense of ownership.
  • Commitment to delivering high-quality, reliable data solutions.

At Allata, we value differences.
Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.
This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.