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Data Optimisation Jobs in New York (NOW HIRING)

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:

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 ...

Sr. Data Architect

Manhattan, 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 ...

Sr. Data Architect

Manhattan, 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 ...

... data optimization. * Build, maintain, and enhance data pipelines and infrastructure using ... Databricks, Snowflake, PySpark, and SQL to ensure scalable, reliable, and efficient data processing ...

Head of Optimisation

New York, NY · On-site

$105K - $140K/yr

Ensure our data, charts, and deep-dives are properly structured to serve as the foundational truth data for AI agents. * Search Engine Optimization (SEO) & Editorial Collaboration * Subscription ...

Head of Optimisation

Manhattan, NY · On-site

$105 - $140/hr

Ensure our data, charts, and deep‑dives are properly structured to serve as the foundational truth data for AI agents. * Search Engine Optimization (SEO) & Editorial Collaboration * Subscription ...

Head of Optimisation

Manhattan, NY · On-site

$105 - $140/hr

Ensure our data, charts, and deep‑dives are properly structured to serve as the foundational truth data for AI agents. * Search Engine Optimization (SEO) & Editorial Collaboration * Subscription ...

Introducing Optimum Media. Driven by the power of Optimum, Optimum Media is our innovative ... We are the data specialists that ensure the highest operational efficiency of reporting and ...

Introducing Optimum Media. Driven by the power of Optimum, Optimum Media is our innovative ... We are the data specialists that ensure the highest operational efficiency of reporting and ...

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Data Optimisation information

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 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 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 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.

What are popular job titles related to Data Optimisation jobs in New York?

For Data Optimisation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in New York look for?

The top searched job categories for Data Optimisation jobs in New York are:

What cities in New York are hiring for Data Optimisation jobs?

Cities in New York with the most Data Optimisation job openings:

Infographic showing various Data Optimisation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Health Care Data Engineer

Saransh Inc

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 24 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