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Data Optimisation Jobs in Texas (NOW HIRING)

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

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

Westlake, TX · On-site

$60/hr

Strong database design, modeling, and query optimization skills (SQL/NoSQL). * Testing Rigor: Demonstrated experience writing and executing unit tests and regression tests for data pipelines.

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 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 Modeler

Dallas, TX

$54.25 - $70.25/hr

Responsible for recommending optimal data warehouse / mart schema designs. Basic Qualification: Experience with dimensional data modeling at an enterprise level. Expert level experience in ERWin 4.x ...

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

Write clean, optimized SQL and utilize DBT to transform raw data into production-ready models. * Orchestration: Use Dagster to schedule, monitor, and manage workflows, ensuring errors are caught ...

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data pipelines and platforms on Databricks, primarily ...

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms. Responsibilities: * Design, develop, and maintain scalable ...

Developing algorithms, designing predictive models, and training them on historical data for tasks like classification, regression, and optimization. Data Visualization and Reporting: Using tools (e ...

Data Engineer

Frisco, TX · On-site

$116K - $135K/yr

This role ensures that data is accurate, reliable, well-governed, secure, and optimized for consumption across Microsoft Fabric, Power BI, generative AI, AI agents, and future technologies. The Data ...

Senior Analyst, Data Science

Coppell, TX · On-site

$169K - $222K/yr

About the Role Build, validate, deploy, and maintain Data Science and Optimization models pertaining to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization. Design and ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

The role involves leading a team, managing client interactions, ensuring data quality, and optimizing performance. Responsibilities : • Design and build data pipelines and models using Snowflake ...

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 ...

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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 science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and tools like Python or R are more important than age, and continuous learning can help overcome any age-related concerns.

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 require advanced skills in data management, analytics, and programming, along with leadership responsibilities.

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, communication, and domain knowledge that AI currently cannot fully replicate.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Iapetus Infrastructure Services

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Posted 26 days ago


Job description


Data Engineer

Who we are

Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ties our operating companies together and allows us to best serve our clients. We are a team of thinkers, problem solvers, and industry experts who collectively deliver the right solution for our clients.

Who you are

You appreciate the client relationship and understand that delivering an excellent experience to the client is critial to success. You enjoy problem solving and are able to think and react quickly; you have a keen eye for detail and are able to multi-task; and able to work collaboratively with multiple stakeholders. You are self-motiviated and able to work with little to no supervision; you practice good time management and you consistently take the intiative to get things done; and take action on matters before being asked by others or forced by event. You are naturally curious, malleable in your approach, and don’t mind if every day looks a little different. You have appreciation for attention to detail, you’re a team player and work towards achieving common goals for the client. You’re honest and respectful in your communication style and when things goes astray, you understand that it’s an opportunity to learn, take accountability and create a path forward.

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 teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing systems and building them from the ground up. The Data architect will support our database engineers, analysts and field supervisors on initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the needs of field operations, reporting and analyst teams. The right candidate will be excited by the prospect of optimizing and designing our company’s data architecture to support our next generation of products and initiatives. This is an in-office role.

Responsibilities

  • Design data collection forms and pipelines for data extraction
  • Create and maintain optimal data pipeline architecture
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Fabric, and Azure big data technologies.
  • Keep our data separated and secure.
  • Create data tools for analysts that assist them in building and optimizing our product into an innovative industry leader.

Qualifications

  • Bachelor’s degree in computer science or related degree or related experience required
  • Experience designing data collection forms in Fulcrum or similar survey software is preferred
  • Experience working with the utility industry preferred
  • Effective communication skills required
  • Proficient in using Microsoft Azure or other cloud data platform
  • Profiecient in Data engineering
  • Proficient in Python, JavaScript and SQL preferred
  • Experience developing apps and environments in Fulcrum strongly preferred
  • Experience in utility infrastructure or utility vegetation management preferred

This job description includes essential functions and basic duties and is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as appropriate. This document is not a contract of employment, and the Company reserves the right to change this job description and/or assign tasks for the employee to perform, as the Company may deem appropriate.

Work Environment –In Office

Job Type – Full Time