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Data Optimisation Jobs in Texas (NOW HIRING)

Data Engineer -

Texas City, TX · On-site

$98K - $117K/yr

Fidelity in KY,NH - W2 Only- No Visa sponsor 1. Data Engineer - Tableau, ETL, Data Pipelines, Data Optimization, Dimensional Modeling, SQL 2. Administrator Data Analyst - Data Analytics, ETL, Data ...

Analyze call center data to identify the primary drivers of inbound calls. * Develop strategies for automating top call drivers to improve efficiency and customer satisfaction. * Create Metrics and ...

Analyze call center data to identify the primary drivers of inbound calls. * Develop strategies for automating top call drivers to improve efficiency and customer satisfaction. * Create Metrics and ...

BA

Houston, TX

$44 - $68/hr

Business Analyst - Data & Optimization Location: Onsite in Houston, TX Location Type: Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month contract ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Data Engineer will be responsible for expanding and optimizing data collection and pipeline architecture to support cross-functional teams and improve data delivery. Responsibilities : • Design ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Position Summary The Data Engineer is responsible for expanding and optimizing our data collection and data pipeline architecture, as well as optimizing data flow and collection for cross functional ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Position Summary The Data Engineer is responsible for expanding and optimizing our data collection and data pipeline architecture, as well as optimizing data flow and collection for cross functional ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Position Summary The Data Engineer is responsible for expanding and optimizing our data collection and data pipeline architecture, as well as optimizing data flow and collection for cross functional ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Create optimized queries and data schemas in AWS Athena and Glue Data Catalog. * Integrate data from multiple systems into centralized analytical datasets. * Work closely with BI and AI teams to ...

Data Bricks Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Proven experience building and optimizing complex data pipelines in Azure. Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance. Strong working ...

Data Modeler

San Antonio, TX · On-site

$49.75 - $64.50/hr

Updating and optimizing local and metadata models. * Evaluating implemented data systems for variances, discrepancies, and efficiency. * Troubleshooting and optimizing data systems. Data Modeler ...

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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.

What are popular job titles related to Data Optimisation jobs in Texas? For Data Optimisation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in Texas look for? The top searched job categories for Data Optimisation jobs in Texas are:
Infographic showing various Data Optimisation job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.
Data Engineer -

$98K - $117K/yr

Other

Posted 22 days ago


Job description

This is Sankari from DigiPulse.
Client: Fidelity in KY,NH - W2 Only- No Visa sponsor

1.  Data Engineer – Tableau, ETL, Data Pipelines, Data Optimization, Dimensional Modeling, SQL

2.  Administrator Data Analyst – Data Analytics, ETL, Data Quality/Governance, Modeling, Snowflake, Salesforce Admin (preferred)

Pls share your contact/Resume