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Data Optimizer Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 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 ...

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 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 · Hybrid

$165K/yr

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

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 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 ...

New

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 ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Expert-level SQL development and data analysis skills, including advanced query optimization and debugging. * Strong Python engineering skills and familiarity with software design principles and ...

Senior Data Engineer (On-Site)

Plano, TX · On-site

$94K - $118K/yr

... optimizing complex SQL, PL/SQL, stored procedures, or database workloads * 2+ years of experience developing data solutions using Python, Java, Unix scripting, or similar technologies * 1+ years ...

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

In this role, you will design, develop, and maintain data pipelines to support business intelligence and analytics needs, while optimizing data storage solutions. Responsibilities : • Experience ...

The role includes mentoring a team of data engineers, optimizing data pipelines, and ensuring data quality and governance standards are met. Responsibilities : • Mentor, and grow a team of data ...

Showing results 41-60

Data Optimizer information

What is a data optimizer?

Data Optimizers are professionals who analyze, refine, and improve how data is collected, stored, processed, and utilized within an organization. They work to enhance data quality, streamline workflows, and ensure that businesses can make the most effective use of their data assets. By implementing best practices and leveraging technology, Data Optimizers help organizations gain actionable insights, reduce inefficiencies, and support better decision-making. Their role often involves working closely with data engineers, analysts, and business stakeholders to optimize data systems and processes.

How does a data optimizer typically collaborate with data engineers and analysts within a project team?

A Data Optimizer works closely with data engineers to ensure data pipelines are efficient, scalable, and aligned with organizational goals. They often review current data structures, identify inefficiencies, and propose enhancements that streamline data flow and improve performance. Collaboration with analysts is also key, as Data Optimizers help ensure data quality and availability for analytical tasks, often translating business needs into technical improvements. This role requires strong communication skills and the ability to bridge the gap between technical teams and business stakeholders.

What are the key skills and qualifications needed to thrive as a data optimizer, and why are they important?

To thrive as a Data Optimizer, you need strong analytical skills, a solid understanding of data management principles, and experience with data cleaning and transformation, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, Python, data visualization software, and data warehousing systems is common, and certifications in data analytics or database management can be advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure data integrity, facilitate informed decision-making, and drive organizational efficiency through optimized data processes.

What is the difference between Data Optimizer vs Data Analyst?

AspectData OptimizerData Analyst
CredentialsTypically requires certifications in data management, SQL, or data analysis toolsOften holds degrees in statistics, mathematics, or related fields
Work EnvironmentFocuses on data quality, efficiency, and process improvement within data systemsAnalyzes data sets to identify trends and generate reports for decision-making
Employer & Industry UsageUsed in industries emphasizing data infrastructure and optimizationCommon across various industries for business insights and reporting

While both roles work with data, Data Optimizers focus on enhancing data quality and system efficiency, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right skills to each role.

What cities in Texas are hiring for Data Optimizer jobs?

Cities in Texas with the most Data Optimizer job openings:

Infographic showing various Data Optimizer 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.

Sr Data Engineer

Tailored Brands

Houston, TX • On-site

$118K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Tailored Brands rating

6.8

Company rating: 6.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

27th of 104 rated fashion retailers


Job description

At Tailored Brands, we help people love the way they look and feel for their most important moments. Our Technology team loves the way they feel and thrive at work, with:
• Flexible work opportunities, including remote and hybrid options
• Small, empowered teams that have fun delivering real value for our customers
• A culture that values a 50-year legacy while eagerly embracing the future
Want to be part of this? We currently have an exciting opportunity for Sr Data Engineer to join our Tailored Technology team. This individual will assist with assessing the design, development, and maintenance of data infrastructure and pipelines within the organization. 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 collaborate with cross-functional teams to understand data requirements, architect solutions, and implement best practices for data management, processing, and storage. They also play a crucial role in identifying opportunities for automation, streamlining processes, and implementing cutting-edge technologies to drive innovation in data-driven decision-making. Additionally, they may mentor and provide technical guidance to junior team members, participate in strategic planning, and contribute to the overall data strategy of the organization.
What You'll Do
• Design, assess and support efficient, reliable data pipelines that move data across enterprise systems including Snowflake, BigQuery,Oracle, AS400, SQL Server, Salesforce and external partner platforms using API's, AWS S3, and GCP buckets.
• Enhance and scale cloud-based data warehousing and ETL capabilities to automate large-scale data ingestion and transformation across diverse data sources.
• Identify opportunities to automate, optimize, and modernize existing data processes to improve performance, reliability, and productivity.
• Own the solutions and designs you build, ensuring they meet operational standards, performance expectations, and long-term scalability.
• Contribute to strong data operations environment by adhering to SLAs, improving data quality, and implementing monitoring and automation best practices.
• Collaborate closely with data scientists, analytics teams, and business partners to deliver data solutions that support reporting, analytics, and predictive use cases.
• Mentor and coach junior engineers by providing technical guidance, design feedback, and supporting production operations.
• Adapt quickly to changing business priorities and data needs while meeting delivery timelines and supporting production operations.
What You'll Bring
• Bachelor's or Master's degree in Computer Science,or AI Engineering, or a related field.
• 8+ years of experience in a data engineering or platform role, ideally working with large, complex datasets; retail industry experience a plus.
• Strong understanding of software engineering best practices, including agile development, coding standards, code reviews, testing, and operational support.
• Hands-on experience designing, building, and enhancing cloud-based data warehouse and ETL/ELT solutions, including integration with Application Programming Interfaces (APIs) and external data sources.
• Proven ability to develop scalable, accurate, and timely data pipelines as data volume and complexity grow.
• Proficiency in engineering and automating batch and streaming data pipelines, including data mappings and transformations.
• Strong experience with cloud platforms inluding Snowflake,bigquery on AWS and GCP, with proficiency in SQL, and scripting/programming languages such as Python, PySpark, and Bash.
• Strong experience optimizing Snowflake performance using query profiling, virtual warehouse tuning, clustering keys, Search Optimization Service, Query Acceleration Service, caching, and cost optimization best practices.
• Strong experience with data modeling, data warehousing environments, and ETL/ELT tools such as Fivetran, HVR, or similar platforms.
• Strong experience writing complex SQL queries and optimizing performance in Snowflake and relational databases such as Snowflake, bigquery,Oracle or MySQL.
• Strong experience of CI/CD practices and tools (e.g., GitHub, Jenkins, Kubernetes, Ansible) for production deployments.
• Experience supporting DSAR and regulatory compliance (GDPR/CCPA) using Snowflake data governance, masking policies, RBAC, data lineage, and secure data access controls
• Ability to independently troubleshoot and resolve complex production and data quality issues.
• Strong experience supporting analysts and data scientists with query optimization, performance tuning, and data processing.
• Strong experience with workflow orchestration and scheduling tools such as Airflow or Automic UC4 is a plus.
• Experience implementing data governance using Snowflake Horizon or Atlan, RBAC, masking policies, data lineage, metadata management, and enterprise security best practices.
• Experience implementing data quality frameworks using automated validation, monitoring, reconciliation, and observability tools such as Anamolo, Great Expectations, or custom SQL/Python checks.
• Exposure to business intelligence tools such as power bI,essbase or MicroStrategy is advantageous.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across technical and non-technical teams.
• A proactive mindset with the ability to identify improvement opportunities and present recommendations to leadership.
If you see yourself in this role, but fall short in any areas above, apply anyway! We love to invest in our team members!
The Best Kept Secret in Retail
Tailored Brands is North America's leading specialty retailer of menswear, famous for world-class customer service and unique offerings like tailoring and custom suits. We are best known by our brands, including Men's Wearhouse, Jos. A. Bank, K&G Fashion Superstore, and Moores Clothing for Men in Canada.
We are emerging from the pandemic with incredible momentum. We own a unique and special market segment experiencing record-level demand. This has inspired our 3-year journey to become Legendary; an exciting strategy that leans heavily upon a strong technology foundation.
With over 1,000 stores across the US and Canada, 15,000 employees, and over 35 million customers, we're the perfect size! Large enough to demand leading-edge enterprise-worthy technology, but small enough to move quickly and empower our teams with significant scope & autonomy.
Apply now to power your career journey to Legendary!
Benefits
This role is eligible for healthcare including medical, dental and vision, retirement savings (401k with a company match), income protection programs such as life, accident and disability insurance, paid time off for sick leave, vacation, bereavement, jury duty, and holidays, wellbeing program, commuter, adoption assistance, education assistance, legal services, and employee merchandise discounts. For more detailed information go to mytbtotalrewards.com.
Work-Life Balance
We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs. We offer programs such as:
• Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development
• Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend
• Holiday Early Departure | close out early the business day before a company observed holiday
Work Environment, Physical & Mental Demands
• Ability to sit and work at a computer keyboard for extended periods of time
• Ability to stoop, kneel, bend at the waist, and reach daily
• Able to lift and move up to 25 pounds occasionally
• Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment
• Hours regularly 40 hours per week, as work dictates. This positions follows a hybrid work schedule, working from our Corporate office in Houston, TX on Tuesday through Thursday and remotely on Monday and Friday.
Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.

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