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Data Analytics Engineer Jobs in Dallas, TX (NOW HIRING)

Kalibrate

Analytics Engineer (US)

Dallas, TX · On-site +1

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 ...

Select Minds LLC

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 ...

campus4tech

Data Analyst/Developer

Grand Prairie, TX · On-site

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 ...

Premier Truck Rental

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 ...

Kalibrate

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

Business Centric Technology

Log Analytics Engineer

Plano, TX · Remote

$110K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a hands-on, fully remote, Log Analytics Engineer who thinks like an analyst and ... You'll work at the intersection of security, cloud, and IT, turning massive volumes of log data ...

Aquent

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 ...

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX · On-site

Must Haves: 2-5 years of experience in a data analytics lead role Hands on experience using SQL or SAS and other query tools on large databases Knowledge of at least one statistical programming ...

Avison Young

Senior Analytics Engineer

Dallas, TX · On-site

$93K - $120K/yr

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will own and scale our analytics layer in Snowflake using dbt. This is a hands-on leadership role focused ...

AgreeYa Solutions

Data Analyst/BI Engineer

Plano, TX · On-site

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 ...

Oscar Health

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

  • PTO

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 ...

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Showing results 21-40

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

Data Analytics Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do data analytics engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analytics engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

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 Data Analytics Engineer jobs in Dallas, TX?

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

What job categories do people searching Data Analytics Engineer jobs in Dallas, TX look for?

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

What cities near Dallas, TX are hiring for Data Analytics Engineer jobs?

Cities near Dallas, TX with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

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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