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Internship Data Analytics Engineer Jobs in Texas

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

Customer Engineer, Data & Analytics

Austin, TX · On-site

$113K - $136K/yr

As a Customer Engineer, Data & Analytics, you will be the technical expert in client-facing roles, focusing on designing and delivering data solutions on Google Cloud Platform, while collaborating ...

We are looking for a Staff Analytics Engineer to join our team supporting our external data ... A data product builder - you love creating robust, scalable analytics solutions that drive decision ...

We are looking for a Staff Analytics Engineer to join our team supporting our external data ... A data product builder - you love creating robust, scalable analytics solutions that drive decision ...

Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90-minute LiveLab per week via Zoom for 100-200 students, at the same time each week for 12 ...

Analytics Engineer

Austin, TX · On-site

$190K/yr

We\'re looking for an Analytics Engineer to own the data models, metrics, and dashboards the company runs on. You\'ll define how we measure the business, from source data through the numbers that ...

Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90-minute LiveLab per week via Zoom for 100-200 students, at the same time each week for 12 ...

Bachelor's Degree in Computer Science, Data Analytics, Engineering, or related field, with 1-2+ years of post-graduation experience. * 2+ years of SQL Server experience, including data cleansing ...

Senior Analytics Engineer

Austin, TX

$103K - $142K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Contractors, interns, and part-time employees are not eligible for the full-time employee benefits ...

They are seeking an Analytics Engineer to own the data stack, build data pipelines, and deliver insights that drive decisions across the business. Responsibilities : • Build and maintain data ...

Showing results 41-60

Internship Data Analytics Engineer information

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 Texas?

The most popular types of Data Analytics Engineer jobs in Texas are:

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The top searched job categories for Internship Data Analytics Engineer jobs in Texas are:

What cities in Texas are hiring for Internship Data Analytics Engineer jobs?

Cities in Texas with the most Internship Data Analytics Engineer job openings:

Manager of Data Analytics & Engineering

CareGard Warranty Services, Inc.

Grapevine, TX • On-site

Full-time

Re-posted 3 days ago


Job description

Join our team and be part of something truly transformational!
We are different.
Under the name of CareGard Warranty Services, Automotive Financial Group (AFG) was founded in 1994. Within the past 30 years, AFG has become a leader in vehicle service contracts and protection products. Through partnerships with car dealerships, finance companies, and automotive manufacturers (OEM), CareGard has redefined the standards of service in the automotive industry. Driven by a profound mission to enhance the automotive landscape, CareGard has tirelessly worked towards nurturing talent and fostering a culture rooted in values of trust and reliability. Today, it stands as a titan among extended warranty providers, celebrated for its exceptional Google ratings and unwavering commitment to excellence.
Excellence is in our DNA.
At CareGard, we are always looking for the best talent on the planet.   Our people have an ownership mentality in everything we do.  We exude initiative, accountability, and an unyielding pursuit of excellence. Our culture is built on integrity, innovation, and passion. Together, these values create an atmosphere that allows us to surpass customer expectations and cultivate deep-seated relationships built on trust. As we chart our course through new and existing growth opportunities, we invite those who dare to dream, who are dedicated to becoming the finest versions of themselves, and who approach challenges with a visionary problem-solving mindset to grow with us.
Once in a Lifetime Opportunity.
AFG is growing rapidly, and we are looking for a Manager of Data Analytics & Engineering who can lead our data development strategy and drive the delivery of high-quality, scalable reporting systems and data pipelines. This is a role for a leader who sees beyond daily execution, understands how business intelligence intersects with business objectives, and builds data systems and teams that truly make an impact.
Beyond technical leadership, this role is accountable for building, developing, and sustaining a team of top-tier talent. The Manager must actively coach, mentor, and elevate team members, fostering a culture of accountability, continuous learning, and high performance. Success in this role requires a leader who understands how to motivate and guide high-performing individuals, set a clear vision, and drive both individual and team excellence.
Summary:
Manager of Data Analytics & Engineering role leads a team that is responsible for creating high-quality, high-impact reports to enable internal and external stakeholders to make data-driven decisions across all AFG products. This role works closely with disciplines across the organization to identify requirements, build and automate reports, and manage reporting infrastructure. This role pairs deep expertise in SQL, Python, and other data tools with the ability to manage and mentor others and communicate clearly across the organization.
Supervisory Responsibilities:
  • Lead the Data Analyst discipline at AFG
  • Mentor and develop a team of data analysts including goal setting, performance reviews, and career development
  • Review team deliverables (queries, models, reports, dashboards) for quality
  • Develop and enforce analytics standards, documentation practices, and code review processes
  • Report the health of the team operations to executives
  • Support hiring, onboarding, and training of new team members

Responsibilities:
  • Execute data validation, profiling, auditing, and data cleansing activities for report deliverables
  • Develop and maintain data pipelines for data extraction, transformation, and analysis
  • Partner with stakeholders to define metrics, KPIs, and reporting requirements
  • Collaborate with data engineering on data infrastructure, governance, and tooling improvements
  • Stay current on analytics tools, methods, and industry trends
  • Standardize, automate, and maintain data collection and processing for report deliverables
  • Develop and maintain deep functional knowledge of the business and the business data model
  • Document and maintain standard operating procedures
Skills & Qualifications:
  • Expert level knowledge of SQL, Python, ETL tooling (dbt, Airflow)
  • Proficient with git
  • Familiarity with change management processes
  • Strong written communication skills for documenting and working across the organization
  • Ability to prioritize, delegate, and manage multiple requests
  • Demonstrated experience leading or mentoring analysts
  • Demonstrated success working cross-functionally across an organization
  • Experience with data warehousing and cloud data platforms like Redshift

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