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Data Optimisation Jobs (NOW HIRING)

Saransh Inc

EDI Data Engineer (Healthcare Domain)

New York, NY · Remote

$117.20K - $140.70K/yr

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:

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$107.85K - $186.62K/yr

Redefining mobility requires quality data, metrics, and analytics, as well as insightful ... Evaluate and fine-tune models for performance optimization, accuracy, and efficiency. Contribute ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113.50K - $136.30K/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 ...

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

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

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/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 ...

Ford Motor Company

Data Scientist

Dearborn, MI

$107.85K - $186.62K/yr

... optimized for NLP applications. 6. Writing complex queries to join structured and unstructured data sources. 7. Creating ETL processes for text data, optimizing query performance for large text ...

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 ...

Data Capital Inc

Data Architect

Virginia City, NV

$65.25 - $84/hr

You will work closely with data engineers, cloud teams, analysts, and stakeholders to build robust data pipelines, optimized data models, and enterprise data architectures in a cloud environment ...

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 ...

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 ...

Intellectix

Data Scientist

Saint Louis, MO

As a Data Scientist, you'll be the cornerstone of this mission, ensuring the security of crucial data, optimizing IT infrastructure, and simplifying business processes through cutting-edge software ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

As a Data Scientist, you'll be the cornerstone of this mission, ensuring the security of crucial data, optimizing IT infrastructure, and simplifying business processes through cutting-edge software ...

Itero Group

Data Analyst

Sterling, VA · Hybrid

Document current-state and future-state business processes and identify opportunities for process improvement and data optimization. * Develop and maintain: * Business Requirements Documents (BRDs)

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Data Optimisation information

What are the key skills and qualifications needed to thrive as a Data Optimisation Specialist, and why are they important?

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 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 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.

More about Data Optimisation jobs
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What job categories do people searching Data Optimisation jobs look for? The top searched job categories for Data Optimisation jobs are:
Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in the United States as of May 2026, with employment types broken down into 1% Full Time, 98% Part Time, and 1% Nights. Highlights an 97% Physical, and 3% Hybrid job distribution.

Healthcare Lead Data Engineer

Purple Drive Technologies

New York, NY • On-site

$125.30K - $150.40K/yr

Full-time

Posted 6 days ago

Job description

Overview:
Healthcare Lead Data Engineer
Exp: 10+ yrs
Senior Data Engineer - Position 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
• Strong problem-solving and communication skills
Responsibilities
• Design and maintain scalable data pipelines and architectures
• Lead data projects and ensure best practices
• Collaborate across teams to meet data needs
• Optimize data systems for analytics and reporting
• Ensure data quality and system reliability in production environments
Skills:
SQL , POSTGRES

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