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Data Optimisation Jobs in Princeton, NJ (NOW HIRING)

Saransh Inc

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/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:

US Mobile

Data Scientist (Cost Optimization)

New York, NY · On-site

$140K - $190K/yr

Data Scientist, Cost Optimization** to own the unit economics of our network costs. You'll build the models and optimizations that decide the most cost-efficient configuration for every line on our ...

US Mobile

Data Scientist (Cost Optimization)

New York, NY · On-site

$140K - $190K/yr

Data Scientist, Cost Optimization** to own the unit economics of our network costs. You'll build the models and optimizations that decide the most cost-efficient configuration for every line on our ...

UpClear

Sr. Data Architect

New York, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

Omnicom

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... optimization and corporate retention policies while ensuring the historical data needs of the client are met Document and maintain all the processes and procedures pertaining to ETL and data ...

Kanak Elite Services Inc

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

... optimization, scalability, data integrity, and maintainability. - Optimize SQL, execution plans, indexing, partitioning, and storage strategies. - Administer enterprise databases including backup ...

Qode

Data Engineer

NJ · On-site

$116K - $140K/yr

The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms. Responsibilities: * Design, develop, and maintain scalable ...

Dew Softech Inc

Data Analyst

Trenton, NJ · On-site

Snowflake SQL (Scripting & Optimization) Required 3 Years * Python Programming (Data/Automation ... Required 3 Years * Code Review & Interpretation Required 3 Years * Data Analysis & Profiling ...

DEW Softech, Inc

Data Analyst

Trenton, NJ · On-site

Snowflake SQL (Scripting & Optimization) Required 3 Years * Python Programming (Data/Automation ... Required 3 Years * Code Review & Interpretation Required 3 Years * Data Analysis & Profiling ...

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All JobsData Optimisation JobsData Optimisation Jobs in Princeton, NJ

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.
Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Health Care Data Engineer

Saransh Inc

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 16 days ago

Job description

 
 

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