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Data Optimizer Jobs (NOW HIRING)

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine Learning principles to design and implement data optimization strategies for model training and ...

Adyen

Optimization Data Analyst

Chicago, IL · On-site

$120K - $156K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Cincinnati Reds

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Building, optimizing, and maintaining ETL/ELT pipelines * Basic infrastructure-as-code (Terraform, CloudFormation) * Understanding of real-time data processing (Kafka, Kinesis) * Experience with ...

Cincinnati Reds

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Building, optimizing, and maintaining ETL/ELT pipelines * Basic infrastructure-as-code (Terraform, CloudFormation) * Understanding of real-time data processing (Kafka, Kinesis) * Experience with ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

Optimizing data systems and building them from the ground up. In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and ...

Adecco

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 ...

Posted today

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

... data optimization.Prioritize, deconflict and craft backlog requirements for a team of data acquisition professionals while coordinating data task requirements with personnel conducting data ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures.Read, scope, author, and/or execute code of varying degrees of complexity for ...

CSS Inc

Data Scientist

Charleston, SC · On-site

$70 - $90/hr

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

Payline Data

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Company Description Payline Data creates solutions that deliver exceptional payment experiences ... Write optimized code to support application development. * Conduct server coding sessions for ...

Payline Data

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

Company Description Payline Data creates solutions that deliver exceptional payment experiences ... Write optimized code to support application development. * Conduct server coding sessions for ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

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Data Optimizer information

What is a data optimizer?

Data Optimizers are professionals who analyze, refine, and improve how data is collected, stored, processed, and utilized within an organization. They work to enhance data quality, streamline workflows, and ensure that businesses can make the most effective use of their data assets. By implementing best practices and leveraging technology, Data Optimizers help organizations gain actionable insights, reduce inefficiencies, and support better decision-making. Their role often involves working closely with data engineers, analysts, and business stakeholders to optimize data systems and processes.

How does a data optimizer typically collaborate with data engineers and analysts within a project team?

A Data Optimizer works closely with data engineers to ensure data pipelines are efficient, scalable, and aligned with organizational goals. They often review current data structures, identify inefficiencies, and propose enhancements that streamline data flow and improve performance. Collaboration with analysts is also key, as Data Optimizers help ensure data quality and availability for analytical tasks, often translating business needs into technical improvements. This role requires strong communication skills and the ability to bridge the gap between technical teams and business stakeholders.

What are the key skills and qualifications needed to thrive as a data optimizer, and why are they important?

To thrive as a Data Optimizer, you need strong analytical skills, a solid understanding of data management principles, and experience with data cleaning and transformation, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, Python, data visualization software, and data warehousing systems is common, and certifications in data analytics or database management can be advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure data integrity, facilitate informed decision-making, and drive organizational efficiency through optimized data processes.

What is the difference between Data Optimizer vs Data Analyst?

AspectData OptimizerData Analyst
CredentialsTypically requires certifications in data management, SQL, or data analysis toolsOften holds degrees in statistics, mathematics, or related fields
Work EnvironmentFocuses on data quality, efficiency, and process improvement within data systemsAnalyzes data sets to identify trends and generate reports for decision-making
Employer & Industry UsageUsed in industries emphasizing data infrastructure and optimizationCommon across various industries for business insights and reporting

While both roles work with data, Data Optimizers focus on enhancing data quality and system efficiency, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right skills to each role.

What cities are hiring for Data Optimizer jobs?

Cities with the most Data Optimizer job openings:

What states have the most Data Optimizer jobs?

States with the most job openings for Data Optimizer jobs include:

What job categories do people searching Data Optimizer jobs look for?

The top searched job categories for Data Optimizer jobs are:

Data Optimizer jobs near you
Infographic showing various Data Optimizer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

EDI Data Engineer (Healthcare Domain)

Saransh Inc

New York, NY • Remote

$117K - $140K/yr

Contractor

Re-posted 13 days ago

Job description

Role: EDI Data Engineer – Healthcare Domain
Location: NYC, NY & Canada (Remote)
Job Type: Contract
 
Note: Need minimum 10+ years experience and recent lead expertise  
 
 
 
Summary:
  • The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence.
  • This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment
 
 
 
Minimum Qualifications:
  • 8+ years of IT experience, with 5+ years in:
  • Python, PySpark, and SQL for big data processing
  • Data lakes (Iceberg format), ETL (Informatica), and data quality
  • AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres
  • BASH/Shell scripting
  • Experience with healthcare data and leading data teams
  • Agile development experience
 
Responsibilities:
  • Design and maintain scalable data pipelines and architectures
  • Lead data projects and ensure best practices
  • Optimize data systems for analytics and reporting
  • Ensure data quality and system reliability in production environments