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Freelance Data Analytics Engineer Jobs in Texas (NOW HIRING)

The Analytics Engineer is responsible for independently preparing, validating, and transforming data used in client-facing analytical solutions. This role owns the execution of standard analytical ...

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 ...

Staff Analytics Engineer

Austin, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Staff Analytics Engineer

Austin, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Senior Analytics Engineer

Austin, TX · On-site

$103K - $142K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

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 ...

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 ...

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 ...

New

Senior Analytics Engineer

Dallas, TX

$103K - $142K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

Senior Analytics Engineer (US)

Dallas, TX · On-site +1

$103K - $142K/yr

The Sr. Analytics Engineer is responsible for leading complex analytical engineering initiatives, ensuring data readiness across engagements, and serving as a technical expert within the organization.

New

Senior Analytics Engineer

Southlake, TX · On-site +1

$78.03 - $86.67/hr

  • Medical

  • Dental

  • Vision

  • Retirement

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

Showing results 41-60

Freelance Data Analytics Engineer information

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

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:

What are popular job titles related to Freelance Data Analytics Engineer jobs in Texas?

For Freelance Data Analytics Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Freelance Data Analytics Engineer jobs in Texas look for?

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

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

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

Infographic showing various Freelance Data Analytics Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Manager of Data Analytics & Engineering

CareGard Warranty Services, Inc.

Grapevine, TX • On-site

Full-time

Re-posted 2 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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