1

Data Optimisation Jobs in Tempe, AZ (NOW HIRING)

Senior Data Engineer

Mesa, AZ · On-site

$105K - $142K/yr

A key component of the position will also include claims scrubbing, EDI, and data optimization to improve claims accuracy, processing efficiency, and reimbursement. Key Responsibilities * Design ...

Data Scientist

Phoenix, AZ · On-site

$110 - $140/hr

Data Scientist Position Summary We are seeking a Data Scientist to partner with business ... Develop personalization, recommendation, forecasting, and optimization solutions. * Support model ...

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent ... optimization)

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

Solid understanding of ETL design, orchestration, and optimization in cloud platforms. We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a ...

Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems. * Support use cases such as demand ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Responsibilities : • Build optimal cloud-based data pipeline in AWS • Build automated data ingestion and ETL processes • Develop and deploy cloud-based web applications Qualifications

Data Science Analyst

Phoenix, AZ · On-site

$95 - $135/hr

Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems. * Support use cases such as demand ...

Sr. Data Engineer

Chandler, AZ · Remote

$117K - $140K/yr

Designs and implements optimized ELT processes to extract, transform, and load data from various sources efficiently. Ensures the reliability, accuracy, and performance of ETL processes and reports ...

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

Optimizing warehouse utilization and workload management * Designing scalable partitioning and clustering strategies * Improving ELT processing efficiency * Reducing data movement and duplication

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

The role involves designing and optimizing large-scale data pipelines, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ET ...

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

The role involves designing and optimizing large-scale data pipelines, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ET ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Demonstrated expertise with common commercial analytics topics (e.g. pricing optimization, customer ...

next page

Showing results 1-20

Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What are popular job titles related to Data Optimisation jobs in Tempe, AZ?

For Data Optimisation jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in Tempe, AZ look for?

The top searched job categories for Data Optimisation jobs in Tempe, AZ are:

Senior Data Engineer

Mesa, AZ • On-site

Adecco
Recruiting and Staffing Services • 10K+ employees

$105K - $142K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Senior Data Engineer – Healthcare Data & Business Intelligence

Position: Senior Data Engineer
Employment Type: Full-Time | Exempt
Reports To: Data Engineering Manager
Industry: Healthcare / Behavioral Health
Safety Sensitive: No

Position Overview

We are seeking an experienced Senior Data Engineer to join a growing healthcare organization and play a critical role in developing, optimizing, and maintaining the data infrastructure that supports organizational operations and strategic decision-making.

This position is ideal for a senior-level data professional who combines strong SQL, database, ETL/data pipeline, data warehousing, and Business Intelligence expertise with hands-on experience supporting EHR and Practice Management (PM) systems within a healthcare environment.

The Senior Data Engineer will design and maintain data pipelines, analytical data models, and BI reporting solutions while partnering with technical and operational teams to turn complex business requirements into reliable, actionable data. A key component of the position will also include claims scrubbing, EDI, and data optimization to improve claims accuracy, processing efficiency, and reimbursement.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines, data flows, and datasets across multiple databases and systems.
  • Extract, transform, and load (ETL) data into clean, standardized formats aligned with business requirements.
  • Design and implement analytical data models and data structures used by BI analysts for reporting and analysis.
  • Design, build, deploy, and maintain Business Intelligence reports and reporting solutions.
  • Work extensively with Microsoft SQL Server, relational databases, and data warehouses.
  • Assume database administration (DBA) responsibilities as needed and partner with system administrators to maintain databases and database servers.
  • Monitor data systems, troubleshoot issues, and ensure the accuracy, integrity, security, and reliability of organizational data.
  • Partner with EHR application users and cross-functional stakeholders to identify reporting requirements and develop effective technical solutions.
  • Analyze data for anomalies, accuracy, trends, and applicability to business requests.
  • Develop a thorough understanding of business processes and translate operational needs into effective data solutions.
  • Identify opportunities to improve workflows, processes, and organizational strategies through technology and automation.
  • Manage multiple concurrent projects from requirements gathering through design, development, QA/UAT, implementation, and release.
  • Support change-control processes and follow established quality assurance and documentation standards.
  • Assist with the training, mentoring, and professional development of other team members.
Claims Scrubbing & Data Optimization

A key focus of this role will be supporting the organization's revenue cycle and claims processes through accurate, optimized data.

Responsibilities include:

  • Develop and implement claims-scrubbing processes to improve accuracy and compliance with payer requirements.
  • Monitor and analyze claims data to identify errors, trends, recurring issues, and opportunities for improvement.
  • Partner with billing and coding teams to improve data quality and streamline claims workflows.
  • Apply knowledge of claims processing and Electronic Data Interchange (EDI) to improve data flow and reimbursement processes.
  • Identify opportunities to reduce claim errors and improve overall revenue cycle efficiency.
Required Experience & Qualifications
  • Bachelor's degree in Information Technology, Computer Science, Data Engineering, or a related field preferred. Relevant professional experience may be considered in lieu of a degree.
  • Minimum 5 years of progressively responsible experience developing datasets.
  • Minimum 7 years of experience working through requirements, design, development, QA/UAT testing, implementation, and delivery within release cycles.
  • Strong experience with:
    • Microsoft SQL Server
    • SQL and relational databases
    • ETL/data pipelines
    • Data warehouses
    • Business Intelligence and reporting
    • Analytical data modeling
    • Database management and optimization
  • Experience implementing an EHR system or another large-scale enterprise system is required.
  • Professional IT experience working with EHR and Practice Management systems within a medical, healthcare, hospital, or behavioral health organization.
  • Knowledge of healthcare claims processing and EDI.
  • Experience with NextGen EHR and NextGen Practice Management is highly desirable.
  • Demonstrated experience gathering requirements and translating business needs into technical solutions.
  • Experience successfully planning and leading strategic initiatives within established timelines and budgets.
  • Strong Microsoft Office skills.
  • Excellent written and verbal communication skills.
What We're Looking For

The successful candidate will be both technically strong and highly collaborative. You should be comfortable working directly with technical teams, business leaders, clinical stakeholders, billing teams, and end users to understand complex problems and develop practical data-driven solutions.

You should bring:

  • Excellent data analysis and problem-solving skills.
  • Ability to analyze complex information and communicate findings clearly to technical and non-technical audiences.
  • Strong understanding of healthcare operations and data.
  • Ability to manage multiple priorities and projects with minimal supervision.
  • Strong attention to data accuracy, quality, security, and compliance.
  • Ability to identify opportunities for process improvement and develop innovative solutions.
  • Strong stakeholder management and relationship-building skills.
  • Sound judgment, accountability, and a commitment to meeting deadlines and productivity standards.
  • Ability to adapt to changing priorities and evolving organizational needs.
  • A collaborative approach and willingness to mentor and support other team members.
Why Join Us?

This is an opportunity to take on a highly impactful Senior Data Engineer position where your work will directly influence healthcare operations, business intelligence, revenue cycle performance, and organizational decision-making.

If you have a strong background in healthcare data engineering, SQL Server, ETL, data warehousing, BI reporting, EHR/PM systems, claims data, and EDI, we would like to hear from you.

Apply today to learn more about this Senior Data Engineer opportunity.


Pay Details: $121,000.00 to $135,000.00 per year
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.adecco.com/en-us/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.