1

Data Optimisation Jobs in Philadelphia, PA (NOW HIRING)

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

Data Scientist II Build the intelligence that optimizes the movement of food at national scale Who ... and optimization problems across operations, logistics, and the business • Development ...

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

Data Scientist II Build the intelligence that optimizes the movement of food at national scale Who ... and optimization problems across operations, logistics, and the business • Development ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... The ideal candidate will leverage, adapt, and extend machine learning (ML), optimization techniques ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... The ideal candidate will leverage, adapt, and extend machine learning (ML), optimization techniques ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Performance Optimization: Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching ...

Data Scientist II Build the intelligence that optimizes the movement of food at national scale Who ... optimization problems across operations, logistics, and the business · Development, deployment ...

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

... optimization models used in operational decision‑making · Large‑scale analysis of data from ... WMS, TMS, ERP, and operational systems to generate actionable insights · Production‑grade ...

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

Data Scientist II Build the intelligence that optimizes the movement of food at national scale Who ... optimization problems across operations, logistics, and the business · Development, deployment ...

Big Data Architect

Philadelphia, PA · On-site

$64.25 - $82.75/hr

Tuning and optimization of backend and frontend data operations * Serve as a query tuning and optimization technical expert, providing feedback to team * Design and develop ETL and master data ...

Big Data Architect

Philadelphia, PA

$64.25 - $82.75/hr

Tuning and optimization of backend and frontend data operations * Serve as a query tuning and optimization technical expert, providing feedback to team * Design and develop ETL and master data ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

The role involves developing and optimizing complex data pipelines and building scalable AI/ML solutions, with a focus on integrating model pipelines and collaborating with data science teams.

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Performance Optimization: Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching ...

Data Modeler

Philadelphia, PA · On-site

$55.25 - $71.75/hr

... optimization for large OLAP & Data Warehouse solutions. Expert in relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems Skilled in data ...

Support continuous model optimization and validation efforts. Qualifications * Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or ...

next page

Showing results 1-20

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 Philadelphia, PA? For Data Optimisation jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in Philadelphia, PA look for? The top searched job categories for Data Optimisation jobs in Philadelphia, PA are:

Application Engineer III - AWS Data Engineer

Vangard, Inc.

Malvern, PA • On-site

Full-time

Posted 8 days ago


Job description

Application Engineer III - AWS Data Engineer

About the Role

Join Vanguard's mission to deliver investment success for all investors. We're seeking an AWS Data Engineer to help shape and evolve an enterprise data platform that manages assets and cash flow data across our lines of business. You'll build scalable, serverless data solutions that power analytics and decision-making across the firm.

You'll have opportunities to drive innovation through proof-of-concept development and AI system implementations that address emerging business needs. You'll also participate in strategic initiatives like process optimizations, platform modernization, system rebuilds, and AI enablement-helping shape the future of our data infrastructure.

What You'll Do

  • Design, build, and maintain ETL pipelines for asset and cash flow data, working toward AI-readiness

  • Develop proof-of-concepts and AI-driven solutions to explore new capabilities and meet evolving business needs

  • Build serverless workflows using AWS services like Glue, Lambda, and Step Functions, with guidance on reliability, performance, and cost optimization

  • Integrate data from various sources and APIs to improve data flows and system efficiency

  • Translate business and technical requirements into clean, well-tested code

  • Apply security and data protection best practices aligned with enterprise standards

  • Support production deployments and participate in change control processes

  • Collaborate with cross-functional partners to troubleshoot issues and improve the data platform

  • Communicate technical concepts clearly to both technical and non-technical audiences

  • Support team members and contribute to continuous improvement of processes and workflows

  • Maintain technical and operational documentation

What You'll Bring

  • Experience with Python (Pyspark and or pandas/polars/duckdb) and AWS serverless services such as Glue, Lambda, Step Functions, CloudFormation, SNS, SQS

  • Understanding of data lake/warehouse design, SQL, and data optimization

  • Experience building and supporting ETL pipelines and data systems

  • Ability to develop proofs-of-concept and work through technical challenges

  • Experience working in Agile environments and familiarity with tools like JIRA and Confluence

  • Comfort with monitoring, observability, and operational metrics

Nice to Have

  • Experience with enterprise-scale data platforms or AI/ML implementations

  • Background in financial services or regulated environments

  • Interest in clean architecture, automation, and operational excellence

  • Mentoring experience

This role does not offer visa sponsorship

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.