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Data Optimisation Jobs in Princeton, NJ (NOW HIRING)

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Track record of optimizing cost and resource usage within GCP environments. * Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing. * Expertise in architecting ...

Carnegie Affiliates

DATA ENGINEER

New York, NY · On-site

$125K - $150K/yr

Design and develop high-throughput, low-latency data processing pipelines to quickly ingest and ... Experiment with various Hadoop frameworks like Hive, Pig and Scalding to identify the optimal ...

Colgate-Palmolive Company

Data Architect

Piscataway, NJ · On-site

$96K - $137K/yr

Data Pipeline Architecture & Optimization: Ensure that pipelines are compliant with Colgate's architectural vision and standards for ETL/ELT workflows, ensuring automated data pipelines are resilient ...

Texture

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

What you'll do Your primary role will involve designing, constructing, and optimizing our data pipelines to support various data workflows. You will work with both structured and unstructured data ...

Colgate-Palmolive Company

Data Architect

Piscataway, NJ · On-site

$96K - $137K/yr

Data Pipeline Architecture & Optimization: Ensure that pipelines are compliant with Colgate's architectural vision and standards for ETL/ELT workflows, ensuring automated data pipelines are resilient ...

BMC Software, Inc.

Data Scientist III

New York, NY · On-site +1

BMC does this in a simple and optimized way by connecting people, systems, and data that power the world's largest organizations so they can seize a competitive advantage. We're looking for an ...

vTech Solution

Data Analyst

Trenton, NJ · On-site

Snowflake SQL (Scripting & Optimization) * Python Programming (Data/Automation) * Code Review ... Interpretation * Data Analysis & Profiling * Automated Scripting for Ticket Resolution * Excellent ...

Omnicom

Manager, Data Management

New York, NY · On-site

Data Science and Analytics TEAM DESCRIPTION The Data Operations team provides oversight of the data generated throughout the campaign delivery and performance optimization throughout its lifecycle.

Omnicom

Manager, Data Management

New York, NY · Hybrid

Data Science and Analytics TEAM DESCRIPTION The Data Operations team provides oversight of the data generated throughout the campaign delivery and performance optimization throughout its lifecycle.

H1

Staff Data Engineer- Data Lake

New York, NY · On-site

To accomplish this, our teams harness the power of data and AI technology to unlock groundbreaking medical insights and convert those insights into actions that result in optimal patient outcomes and ...

Staffingine LLC

Oracle Fusion Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Leverage Databricks functionalities such as Delta Lake Unity Catalog and Spark optimization techniques to ensure data quality performance and governance * Oracle Fusion Integration * Develop ...

Sciemo

Data Scientist

New York, NY · On-site

$150K - $300K/yr

From optimizing promotions to balancing demand and supply, Sciemo's platform transforms messy, siloed data into measurable business impact. Its AI agents assist decision-makers in real-time, turning ...

Roku

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

Formulate and apply mathematical modeling and other optimizing methods to develop and interpret ... Build data processing and reporting pipelines using SQL, Python, and Airflow. * Develop data ...

MasterCard

Senior Data Scientist

New York, NY

Title and Summary Senior Data Scientist Overview: We are seeking a Senior Data Scientist to design ... Proven experience building and optimizing ad bidding systems, including RTB optimization, budget ...

Donato Technologies, Inc

Data Technical Architect

New York, NY · On-site

$69.75 - $89.75/hr

Optimization: Ensure the optimal utilization and performance of the data quality test automation tool, maximizing its effectiveness and efficiency across various data domains. * Support Interviews ...

Xforia, Inc.

Data Technical Architect

New York, NY · On-site

$69.75 - $89.75/hr

Optimization: Ensure the optimal utilization and performance of the data quality test automation tool, maximizing its effectiveness and efficiency across various data domains. * Support Interviews ...

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Showing results 21-40

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.

Data Engineer

Tror AI for everyone

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 15 days ago

Job description

Job Role: Data Engineer

Job Location: New York (100% onsite) (need local to NY or near by locations)

Job Type: Contract

Note: Interview mode: (Final round will be in person Interview at client location)

 

Note: Candidate need to have colab set up ready with Gmail account so they can code on the L1 interview

 

 

Must have skills:

Languages & Scripting: Spark, Python, Java, Scala, Hive, Kafka, SQL

Cloud Platforms: AWS

Data Warehousing & Analytics: Redshift or Snowflake or Big Query

Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks

CI/CD: AWS Code Pipeline, Jenkins, CloudFormation, Docker, Kubernetes

 

Job Description:

  • Results-driven Data Engineer with a decade of expertise in Data engineering across cloud platforms with a total of 12 years in IT.
  • Extensive experience utilizing Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Dataprep, and Pub/Sub, for data engineering solutions.
  • Proficient in building and managing GCP data pipelines with tools like Cloud Composer and Cloud Dataflow.
  • Proven ability in developing and deploying applications on Google Kubernetes Engine (GKE).
  • Strong background in implementing security and compliance on GCP, ensuring data privacy and regulatory adherence.
  • Track record of optimizing cost and resource usage within GCP environments.
  • Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing.
  • Expertise in architecting scalable, cost-effective solutions on AWS, with proficiency in configuring AWS Lambda for serverless computing.
  • Adept at setting up AWS Kinesis streams to process real-time data, enhancing system responsiveness and data-driven decision-making.
  • Proficient in leveraging AWS DynamoDB to create scalable, low-latency NoSQL databases for dynamic applications.
  • Deep expertise in optimizing and managing Amazon Redshift data warehouses to deliver high-performance analytics and business insights.
  • Experienced in integrating AWS services into CI/CD pipelines, streamlining automation for continuous integration, delivery, and deployment.
  • Skilled in setting up and securing AWS Virtual Private Cloud (VPC) environments.
  • Proficient in managing Azure virtual machines (VMs) for cloud infrastructure operations.
  • Extensive experience managing on-premises data infrastructure, including data warehouses and databases.
  • Familiar with AWS DevOps practices for continuous integration and deployment.
  • Expertise in using Git for version control in DBT projects, ensuring proper tracking and documentation of data model changes.
  • Skilled in performance optimization and tuning of on-premises data systems.
  • Proficient in data migration strategies between on-premises and cloud environments.
  • Strong troubleshooting skills in resolving issues within on-premises data systems.
  • Proven ability to maintain high availability and disaster recovery solutions in on-premises environments.
  • Experienced in implementing CI/CD pipelines using tools like Jenkins and GitLab CI/CD.
  • Adept in automated testing processes, including unit, integration, and regression testing.
  • Skilled in gathering and analyzing project requirements to ensure alignment with business goals.
  • Experienced in Agile project management, contributing to successful outcomes through data-driven analytics and collaborative teamwork.