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Internship Data Analytics Engineer Jobs in Dallas, TX

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · On-site

This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data ...

Oscar Health

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Stellus RX

Senior Analytics Engineer - Lima, Peru

Plano, TX · On-site

$99K - $134K/yr

Data Quality & Preparation - The engineer is accountable for taking raw data from data engineers ... Analytics Project Leadership Leading analytics projects end-to-end, from scoping and design through ...

Aquent

Senior Analytics Engineer

Southlake, TX · On-site +1

$78.03 - $86.67/hr

Drive Data Engineering & Platform Modernization * Design, build, and operate robust data pipelines ... Architect Scalable Data Models & Analytics Solutions * Design sophisticated dimensional models ...

Workday

Analytics Engineer

Frisco, TX

$95K - $126K/yr

About the Role In this role you will. build and own the data foundation for Global Partner ... About You You are an experienced analyst or analytics engineer who is genuinely happiest in the ...

New

TiltEdge Solutions LLC

Data Analyst/BI Engineer

Plano, TX · On-site

$45 - $50/hr

This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic ...

Gartner

Manager, Data Analytics

Irving, TX · On-site

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

Gartner

Manager, Data Analytics

Irving, TX · On-site

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

Armaninollp

Data & AI Platform Engineer

Dallas, TX · On-site

$113K - $136K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count). * Minimum 1 year of representative accounting experience ...

CYNET SYSTEMS

Data Analytics project Manager

Plano, TX · On-site

$85 - $90/hr

Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams ... Data Analysis/Analytics certifications. * Experience in the automotive industry. * AWS or Azure ...

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All JobsData Analytics Engineer JobsInternship Data Analytics Engineer JobsInternship Data Analytics Engineer Jobs in Dallas, TX

Internship Data Analytics Engineer information

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How much do internship data analytics engineer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship data analytics engineer in Dallas, TX is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Analytics Engineer vs Data Analyst Intern?

AspectInternship Data Analytics EngineerData Analyst Intern
Required CredentialsBasic knowledge of data engineering, SQL, programmingBasic understanding of data analysis, Excel, SQL
Work EnvironmentAssist in building data pipelines, working with data engineering teamsAnalyze datasets, generate reports, support decision-making
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, marketing, finance sectors

Internship Data Analytics Engineers focus on data pipeline development and engineering tasks, while Data Analyst Interns primarily analyze data and create reports. Both roles require foundational data skills but differ in technical focus and responsibilities.

What are the most commonly searched types of Data Analytics Engineer jobs in Dallas, TX?

The most popular types of Data Analytics Engineer jobs in Dallas, TX are:

What are popular job titles related to Internship Data Analytics Engineer jobs in Dallas, TX?

For Internship Data Analytics Engineer jobs in Dallas, TX, the most frequently searched job titles are:

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The top searched job categories for Internship Data Analytics Engineer jobs in Dallas, TX are:

Internship Data Analytics Engineer jobs near you
Infographic showing various Internship Data Analytics Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,305 per year, or $22.3 per hour.

Senior Data & Analytics Specialist

HCVT

Fort Worth, TX • On-site

Full-time

Posted 6 days ago

Job description

Come for the Challenge. Stay for the Experience.
At HCVT, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at HCVT. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience.
What We Do and Who We Serve
We offer Tax, Audit, Advisory, and Business Management services to our clients, which include private and public companies, high-net-worth individuals, and family offices. We also specialize in serving clients across the following industries: Private Equity, Real Estate & Hospitality, Media & Entertainment, High-Net-Worth Individuals, Manufacturing & Distribution, Professional Services Firms, Technology, Healthcare, Nonprofit Organizations, and Affordable Housing.
We Live Our Core Values
Our values guide us in our day-to-day interactions with our clients and each other-Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team.
Discover How Far You Can Go.
Opportunities abound at HCVT. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating work for our teams-the kind of work that helps you develop and refine your skills to advance in the profession.
Hybrid Work
HCVT currently offers a hybrid work model that allows eligible employees to work both remotely and in the office, based on business needs and team coordination. When working remotely, employees are expected to meet the same performance standards, adhere to the same policies, and maintain the same level of communication, collaboration, and responsiveness as working in the office. Please note that this arrangement is not guaranteed and subject to change at any time. We will strive to provide reasonable notice of any changes to your work location or schedule whenever possible.
About the Role
The Senior Data & Analytics Specialist is responsible for designing, building, and advancing the firm's enterprise data and analytics capabilities. This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data assets. Working closely with business and technology leaders, the position transforms enterprise data into trusted information that improves decision-making, operational efficiency, and client outcomes.
As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following:
  • Enterprise Data Platform & Engineering: Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines. Build scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, Advisory, Operations, and other business systems while ensuring data quality, reliability, governance, and performance. Define data models, standards, and architecture that support reporting, analytics, machine learning, and AI initiatives.
  • Data Analytics & Business Intelligence: Develop modern analytics solutions that provide meaningful insights into business performance and operations. Design and deliver executive dashboards, KPIs, operational reporting, and self-service analytics using Power BI and Microsoft Fabric. Partner with business stakeholders to translate analytical requirements into scalable reporting solutions while establishing best practices for data visualization, metric definitions, and analytics governance.
  • Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that improve operational efficiency, identify trends, predict outcomes, and support strategic decision-making. Evaluate model performance, improve accuracy, and operationalize analytical solutions for enterprise use.
  • AI-Ready Data & Intelligent Solutions: Develop governed, high-quality data assets that enable AI applications, intelligent automation, and generative AI solutions. Support modern AI capabilities through semantic models, vector-ready datasets, retrieval pipelines, and data preparation processes that improve the accuracy, reliability, and scalability of AI-enabled business solutions. Partner with software engineering teams to integrate analytics and machine learning capabilities into enterprise applications and AI agents.
  • Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices. Evaluate emerging tools and technologies, recommend improvements to the firm's data ecosystem, and contribute to the long-term analytics and AI strategy. Promote engineering best practices, data governance standards, automation, and continuous improvement across the analytics platform.

We expect that our Staff Azure Cloud Engineer will have the following qualifications:
  • 5+ years of progressive experience in data engineering, data analytics, data science, business intelligence, or related technical disciplines.
  • Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
  • Strong experience designing relational databases, dimensional models, data warehouses, and scalable data pipelines.
  • Advanced proficiency with SQL and Python, including data transformation, automation, and analytical development.
  • Experience designing and implementing ETL/ELT processes, data integration solutions, and enterprise data models.
  • Working knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
  • Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms.
  • Experience with data governance, data quality, metadata management, and enterprise analytics best practices.
  • Strong analytical thinking, technical problem-solving, and the ability to translate business requirements into scalable data solutions.
  • Excellent communication skills with the ability to explain complex technical concepts to business stakeholders.

Preferred Qualifications
  • Experience within professional services, consulting, financial services, or public accounting.
  • Hands-on expertise with Microsoft Fabric, Azure Data Platform, Power BI, or comparable cloud-based analytics platforms.
  • Experience with AI-enabled data architectures, RAG pipelines, semantic search, vector databases, or LLM-powered applications.
  • Experience building production machine learning or advanced analytics solutions.
  • Master's Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.

You Matter - HCVT provides a variety of benefits and perks that help sustain a healthy and thriving work environment.
  • Visit the Benefits section to learn more.

Connect with us:
LinkedIn, Instagram, Facebook, HCVT Website
#LI-GC1
#LI-Hybrid
The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About HCVT

Sourced by ZipRecruiter

Industry

Accounting services

Company size

501 - 1,000 Employees

Headquarters location

Camarillo, CA, US

Year founded

1991

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