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Associate Data Engineering Jobs in Texas (NOW HIRING)

Data Systems Engineer

Austin, TX

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Azure Data Engineer Associate (DP-203) (Within 6 Months)

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Data Engineer

Houston, TX · On-site

$60/hr

Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for structured and ...

The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the ... Qualifications Basic Qualifications: * 1+ years in a Data Center Engineering Role * 1+ years of ...

The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the ... Qualifications Basic Qualifications: * 1+ years in a Data Center Engineering Role * 1+ years of ...

AI Engineering Associate Director

Plano, TX · On-site

$151.40 - $202.50/hr

AI Engineering Associate Director We are seeking an experienced AI Engineer to design, build, test ... Partner with solution architects, data scientists, cloud engineers, software developers, and ...

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Associate Data Engineering information

What are some typical projects an associate data engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an associate data engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Texas? The most popular types of Data Engineering jobs in Texas are:
What are popular job titles related to Associate Data Engineering jobs in Texas? For Associate Data Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineering jobs in Texas look for? The top searched job categories for Associate Data Engineering jobs in Texas are:
What cities in Texas are hiring for Associate Data Engineering jobs? Cities in Texas with the most Associate Data Engineering job openings:
Infographic showing various Associate Data Engineering job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, 3% Temporary, and 10% Contract. Highlights an 93% In-person, 5% Hybrid, and 2% Remote job distribution.

$123K - $164K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Job description

Who We Are

Revantage, a Blackstone Real Estate portfolio company, is a global provider of corporate services.

With a corporate purpose of 'In Pursuit of Better,' Revantage delivers value-added services and world-class talent for Blackstone Real Estate portfolio companies, spanning diverse asset classes, including residential, logistics, office, hospitality and retail sectors. Headquartered in Chicago, the company's footprint extends across North America, Europe and Asia Pacific.

Rooted in a commitment to collaboration and inclusivity, Revantage goes beyond traditional corporate services and acts as a trusted partner. Across offerings that include finance, technology, human resources and operations, Revantage proactively anticipates stakeholder needs, recruits exceptional talent and enables its business partners to thrive.

What We Value: Our Culture

Our people are our most important asset, enabling Blackstone portfolio companies and investments to scale and thrive. Together, we foster a workplace where everyone can be themselves, enabling them todo their best work.

At Revantage, we have exceptional people who live our values and help us pursue better every day. We offer dynamic and meaningful work, competitive compensation, benefits and flexibility. We listen and take action to ensure our organization evolves to reflect our employees' voices and support an inclusive culture.

Our demonstrated commitment to our people and collaborative culture have earned us numerous awards as a top employer.

Our culture is built on our shared core values and commitment to be:

  • Learners - We learn from our challenges and successes

  • Leaders - We commit to continuous improvement

  • Enthusiasts - We face challenges with optimism and believe anything is possible

  • Achievers - We expect high standards for ourselves and enable the success of our teams

  • Partners - We deliver value and positive impact to our partners

Grow your career with us. As a member of our team, you'll gain hands-on experience in the real estate industry and benefit from a supportive environment that fosters personal and professional growth.

Why This Role Is Valuable

The Data Scientist at Revantage will develop and deploy machine learning models to optimize revenue management and pricing strategies, analyze large datasets to generate actionable business insights, and collaborate cross-functionally to align data initiatives with company goals. This role directly impacts business operations for Blackstone Portfolio Companies by improving decision-making and operational efficiency through advanced analytics. It offers the chance to contribute to high-visibility projects that drive measurable value across the organization.

How You Add Value

  • Build and deploy machine learning models to optimize revenue management and pricing strategies.

  • Analyze large datasets to develop models that can drive more informed and consistent business decision-making.

  • Collaborate with peers outside the data science team to align data science initiatives with business goals.

  • Continuously evaluate and improve model performance through testing, tuning, and validation.

  • Document processes, methodologies, and findings for both technical and non-technical audiences.

What You Bring To The Role

Required:

  • 3-6 years of professional experience in data science, machine learning, software engineering, or related fields, leveraging statistics and programming to drive business decisions.

  • Proven expertise in building machine learning models, including predictive and forecasting models, optimizing business operations and decision-making.

  • Experience working in fast-paced environments while producing rigorous, well-documented work.

  • Demonstrated ability to work effectively within a team, producing and reviewing code written by peers.

  • Bachelor's degree in relevant field, e.g., statistics, computer science, data science, etc.

Technical Skills:

  • Advanced proficiency in Python, including libraries such as scikit-learn and statsmodels.

  • Strong expertise in SQL for data extraction and transformation.

  • Familiarity with GitLab/Azure Devops for collaborative development and version control.

  • Strong understanding of evaluation metrics and hyperparameter tuning for machine learning models.

  • Solid grounding in statistics for inference and analysis.

  • Familiarity with time series analysis, regression models, and econometric techniques.

Preferred:

  • Familiarity with revenue management theory and pricing strategies is a plus.

  • Experience in real estate finance or operations is a plus.

  • Advanced degree (master's or Ph.D.) in a relevant field is a plus.

Base Compensation Range:

$123,684.00 To $164,868.00 Annually. This represents the presently-anticipated low and high end of the Company's base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience.

Total Direct Compensation:

This job is also eligible for discretionary bonus and incentive compensation on an annual basis.

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Perks for You

  • Competitive salary, overall compensation, and 401(k)

  • Work-life balance offerings include:

    • Hybrid Work Policy

    • Productivity Hours - weekly meeting-free work time

    • Summer Fridays

    • Work From Anywhere Month

  • In-house and external learning & development opportunities

  • Generous health insurance and wellness benefits

Please review the Job Applicant Privacy Notice.

EEO Statement

Revantage is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com