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Data Optimisation Jobs (NOW HIRING)

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and source data optimization initiatives.

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data pipeline performance issues Data Quality & Governance * Ensure data accuracy, consistency, and ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data pipeline performance issues Data Quality & Governance * Ensure data accuracy, consistency, and ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data pipeline performance issues Data Quality & Governance * Ensure data accuracy, consistency, and ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data pipeline performance issues Data Quality & Governance * Ensure data accuracy, consistency, and ...

Optimization Data Analyst

Chicago, IL · On-site

$120K - $156K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Optimization Data Analyst

Chicago, IL · On-site

$120K - $156K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

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

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 ...

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 ...

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 ...

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 ...

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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.

Is 40 too late for data science?

Data optimisation professionals and data scientists can enter the field at any age, as skills such as programming, statistical analysis, and machine learning are learnable through online courses and certifications. While some roles may prefer recent experience, many organizations value diverse backgrounds and lifelong learning, making age less of a barrier in this field.

What are the key skills and qualifications needed to thrive as a Data Optimisation Specialist, and why are they important?

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 is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

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 data optimization jobs?

Data optimization jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and system performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, and may include tasks such as data cleaning, indexing, and implementing data storage strategies.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are less likely to be fully replaced by AI in the near future.

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:
Infographic showing various Data Optimisation job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Data / BI Architect

Tech Tammina LLC

Pontiac, MI • On-site

$63.25 - $81.50/hr

Contractor

Posted 23 days ago


Job description

Role: Data / BI Architect

Location: Pontiac, MI

Work Schedule: Hybrid On-site/Remote (This is a hybrid role and will require someone in office 2 days per week)
Duration: 12 Months+

Rate: Market

  • Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and source data optimization initiatives.
  • Develops conceptual, logical, and physical data models and architectures.
  • Provides metadata strategies and data integration design.
  • Provides technical infrastructure design and implements scalable and data architectures that support business objectives.
  • Develop, test, and maintain data pipelines, ETL processes, and data integration solutions.
  • Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
  • Collaborate with business functions to design, develop, and deploy artificial intelligence and machine learning solutions to enhance business processes, as well as drive data-driven decision-making and innovation.

Environment: MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS, Crystal Reports XI, SAP, Business Objects, Informatica, Trillium, Snowflake, Microsoft Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.