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Data Optimisation Jobs (NOW HIRING)

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/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 ...

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

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

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 ...

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 ...

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

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 ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

Work with data users to determine, create, and populate optimal data architectures, structures, and systems. * Plans, designs, and optimizes data throughput and query performance. * Provides modeling ...

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 ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

Work with data users to determine, create, and populate optimal data architectures, structures, and systems. * Plans, designs, and optimizes data throughput and query performance. * Provides modeling ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

Work with data users to determine, create, and populate optimal data architectures, structures, and systems. * Plans, designs, and optimizes data throughput and query performance. * Provides modeling ...

RPS Softwares AB

NY · On-site

$93.15 - $134.55/hr

We are hiring Senior Optimization Data Scientist for Sweden. Job Summary: We are seeking an experienced Optimization Data Scientist with strong expertise in Linear & Mixed Integer Programming ...

New

Intellectix

Data Scientist

Springfield, VA · 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 ...

UpClear

Sr. Data Architect

New York, NY

$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 ...

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Showing results 21-40

All JobsData Optimisation Jobs

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.

More about Data Optimisation jobs
What cities are hiring for Data Optimisation jobs? Cities with the most Data Optimisation job openings:
What states have the most Data Optimisation jobs? States with the most job openings for Data Optimisation jobs include:
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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Azure Cloud Data Engineer

ARC Group

Weston, FL • Remote

$108K - $130K/yr

Full-time

Re-posted 21 days ago

Job description

AZURE DATA ENGINEER (REMOTE)
ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work authorization (no C2C).
The Azure Data Engineer is 100% remote and working in the eastern time zone during core business hours. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud platform.
This is a fantastic opportunity to join a well-respected global leader in the supply chain / logistics space and allows for tremendous career growth potential. The company provides competitive salary, bonus, benefits, and room to grow.
AZURE DATA ENGINEER SUMMARY
  • You will be responsible for expanding and optimizing our Azure Data Lake, as well as optimizing the data flow and collection for cross-functional teams.
  • Building data pipelines as well as processing (transforming, aggregating, wrangling) data.
  • 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 will ensure that the optimal data delivery is consistent throughout ongoing projects.
  • In addition to the development of data solutions, you are accountable for the customer's Azure support experience driving resolution of complex critical problems from problem identification to full resolution, you will own and manage the customer/user experience and supporting key customer projects on Azure.
  • Your day-to-day job will be about providing both technical expertise and about being an excellent communicator and a service oriented professional. You will debug, troubleshoot, correct code, and help resolve business user's issues.
REQUIREMENTS/SKILLS:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics
  • 6+ years of experience of IT platform implementation in a highly technical and analytical role.
  • 2 to 4 years of recent professional experience with Data Management technologies
  • 2 years Azure Data Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks, Spark, and Data Explorer.
  • 2 to 4 years of designing Big Data Pipelines supporting Data Science Use Cases.
  • Practical experience in Python and at least 1 of the following programming languages: Scala, Java, Kotlin, Go, Rust, C#, F#, C, C++.
  • Experience building data ingestion pipelines for a cloud, with data consumable by business intelligence solutions (e. g. PowerBI) and/or data scientists.
  • Familiarity with the Azure cloud ecosystem, specifically with data intensive components like Azure Synapse, CosmosDB, Data Factory, Databricks.
  • Robust knowledge of cloud storage aspects (ADLS gen2)
  • Expertise in cloud security aspects
  • Routine command of observability approaches for the clouds: logging, monitoring, tracing.

Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.
ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed.
ARC Group is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.