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Data Optimisation Jobs in Texas (NOW HIRING)

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Perform SQL query tuning and performance optimization across databases and cloud data platforms. * Monitor data pipelines and troubleshoot failures, performance issues, and data quality problems.

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, data models, and reusable data products. Experience with Snowflake CoCo and modern cloud ...

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, data models, and reusable data products. Experience with Snowflake CoCo and modern cloud ...

About the Role Optimal is looking for a Marketing Data Analyst with experience in performance digital marketing analytics . The Marketing Data Analyst works hand-in-hand with our Paid Media and SEO ...

Sr. Data Engineer

Houston, TX · On-site

$105K - $127K/yr

... optimal data pipeline architecture, Assemble large, complex data sets that meet functional \/ non\-functional business requirements. \n \n \n \-Work with data and analytics experts to strive for ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop data transformation and ETL/ELT processes using PySpark, SQL, and Databricks, optimizing performance and data quality. * Collaborate with business and technical stakeholders to understand ...

Sr Data Engineer

Houston, TX · On-site

$118K - $142K/yr

These professionals are responsible for ensuring the reliability, scalability, and efficiency of data systems, as well as optimizing data workflows for performance and usability. They often ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

JSON API Optimization: Design and build the layer specifically for client consumption. This involves flattening/nesting data into optimized JSON structures within Delta tables to support low-latency ...

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, data models, and reusable data products. Experience with Snowflake CoCo and modern cloud ...

Data Warehouse Developer

Irving, TX · On-site

$47.25 - $64.75/hr

This is a hands-on engineering position for someone who enjoys solving complex data challenges, optimizing performance, and building modern data platforms that support long-term business growth. Key ...

Hadoop Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Feature importance, model input optimization Data Quality & Validation: Drift detection, validation frameworks Platform & Engineering CI/CD pipelines and automated testing Cloud platforms (Azure ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

The ideal candidate will have experience in the banking sector and will be responsible for designing and implementing scalable data lake solutions, optimizing data storage, and collaborating with ...

Data Architect

Dallas, TX · On-site

$110K - $120K/yr

... optimizing SQL queries for data discovery, validation, reconciliation, and troubleshooting. • Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and ...

Data Engineer

Austin, TX

$113K - $136K/yr

This role is ideal for an experienced engineer who enjoys solving challenging problems involving large-scale data, distributed systems, database architecture, and performance optimization. You will ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Collaborate with analytics and BI teams to design optimized data models for reporting and analysis. • Performance Optimization: Monitor pipeline performance, troubleshoot issues, and implement ...

Data Center Manager

Austin, TX · Hybrid

$165K/yr

Lead Data Center & Cloud Engineering initiatives, including infrastructure lifecycle modernization ... Oversee power, cooling, facility optimization, server infrastructure, storage infrastructure ...

Data Center Manager

Austin, TX · On-site

$165K/yr

Data Center Manager Austin, TX T-Rex Solutions is seeking an experienced On-Prem Data Center ... Oversee power, cooling, facility optimization, server infrastructure, storage infrastructure ...

Data Center Manager

Austin, TX · On-site

$165K/yr

Lead Data Center & Cloud Engineering initiatives, including infrastructure lifecycle modernization ... Oversee power, cooling, facility optimization, server infrastructure, storage infrastructure ...

Showing results 41-60

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.

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 August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

$109K - $131K/yr

Full-time

Posted 20 days ago


Job description

PROLIM Global Corporation is hiring a Data Engineer for one of our top clients.
Location: Plano, TX - Onsite
Duration: 6 Months
Job Type: Contract
Experience Required: 8-10 Years
Job Summary
We are seeking an experienced Data Engineer with strong Insurance domain experience to join our team in Plano, TX. The ideal candidate will have extensive hands-on experience in ETL/ELT, Snowflake, Tableau, data pipeline development, data architecture, and data modeling.
The candidate will be responsible for developing and maintaining scalable data pipelines, designing high-performance data architectures, optimizing data platforms, and delivering reliable data solutions for business and analytics needs.
Key Responsibilities
  • Design, develop, debug, and maintain robust and automated data pipelines to ingest data from multiple sources.
  • Build scalable ETL/ELT workflows for extracting, transforming, cleansing, and loading data.
  • Design and maintain large-scale data lakes, data warehouses, and enterprise data architectures.
  • Develop data transformation processes to ensure data quality, consistency, accuracy, and accessibility.
  • Design and implement efficient data models to support reporting, analytics, and business intelligence requirements.
  • Develop and optimize Snowflake databases, data warehouses, tables, views, queries, and data processing workflows.
  • Perform SQL query tuning and performance optimization across databases and cloud data platforms.
  • Monitor data pipelines and troubleshoot failures, performance issues, and data quality problems.
  • Work with SQL/NoSQL databases and cloud infrastructure to improve reliability and performance.
  • Develop and maintain Tableau dashboards and visualizations to support business reporting and analytics.
  • Collaborate with data scientists, analysts, business stakeholders, and other engineering teams to understand data requirements.
  • Implement data validation, reconciliation, and quality checks throughout the data lifecycle.
  • Ensure appropriate data security, privacy, governance, and compliance practices are followed, particularly for sensitive insurance data.
  • Participate in production support, root-cause analysis, troubleshooting, and continuous improvement of data platforms.
  • Document data pipelines, data models, technical processes, and operational procedures.

Required Skills
  • 10+ years of experience in Data Engineering or related data-focused roles.
  • Strong Insurance domain experience is required.
  • Strong hands-on experience with ETL/ELT development and data integration.
  • Strong hands-on experience with Snowflake.
  • Strong hands-on experience with Tableau, including dashboard and data visualization development.
  • Strong knowledge of data warehousing, data lakes, and data architecture.
  • Strong SQL development and query optimization skills.
  • Experience with data transformation, cleansing, validation, and quality processes.
  • Experience designing scalable and high-performance data pipelines.
  • Strong understanding of data modeling and enterprise data warehouse concepts.
  • Experience working with cloud-based data platforms and infrastructure.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred / Desirable Skills
  • Python
  • SQL
  • Java and/or Scala
  • Experience with SQL and NoSQL databases.
  • Experience with cloud data platforms.
  • Experience with data governance, security, privacy, and compliance.
  • Experience working with data scientists, analysts, and business stakeholders.

Education
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.