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Manager Data Analytics Engineer Jobs in Grapevine, TX

Analytics Engineer III

Irving, TX · On-site

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Analytics Engineer III role is responsible for bridging the gap between, data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics ...

Senior Analytics Engineer

Southlake, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role owns the end-to-end analytics lifecycle, including data engineering, pipeline development ... Experience in regulated industries such as financial services or wealth management. EEO Employer ...

Senior Analytics Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

... manage delivery risks. • Cross-Functional Partnership: Collaborate closely with Data Science ... analytical engineering operations.

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 ...

Strong experience managing enterprise database platforms supporting operational and analytical ... Experience working within DevOps, DataOps, or agile delivery environments * Excellent communication ...

Data Engineer - Manager

Fort Worth, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Data Engineer - Manager

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

... Engineers, Plant Managers, and operators to understand how production runs in real time ... Bachelor's Degree in Computer Science, Data Analytics, Engineering, or related field, with 1-2+ ...

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 ...

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 ...

Comfortable presenting to the business and upper management. Experience in deep dive analysis and ... one statistical programming language (R, SQL, SAS, and/or Python) Strong quantitative skills ...

Showing results 41-60

Manager Data Analytics Engineer information

See Grapevine, TX salary details

$41.1K

$119.8K

$164K

How much do manager data analytics engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager data analytics engineer in Grapevine, TX is $119,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $127,000.00 per year, depending on experience, location, and employer.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What are popular job titles related to Manager Data Analytics Engineer jobs in Grapevine, TX?

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

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

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

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

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

$109K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

The Analytics Engineer III role is responsible for bridging the gap between, data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics engineering team in designing analytics solutions in Snowflake. You'll be providing expertise in data modeling and data warehousing concepts, and leveraging modern data stack technologies, including Snowflake and dbt, to drive actionable insights. Your experience in improving data quality will help the business gain trust in the data.

RESPONSIBILITIES, other duties may be assigned.

  • Monitoring, maintaining, and improving data integration logic running in the Snowflake Data Cloud.
  • Design, implement, and optimize large-scale data analytics solutions based on the Snowflake Data Warehouse, leveraging data to drive significant business impact.
  • Utilize dbt to create data pipelines, manage transformations, and orchestrate data workflows.
  • Providing expertise in data warehousing concepts, data modeling, and data lake architecture
  • Use SQL, Tableau, Python, or any combination of tools to develop rapid prototypes and educate stakeholders on analytics modeling.
  • Provide expert advice and education in the usage and interpretation of data to other teams across Data Science, Data Engineering, and functional Business Units.
  • Detecting data quality issues and their root causes.
  • Evolving the way data is organized and maintained.

BASIC QUALIFICATIONS

  • Bachelor's or Master's degree in Business Analytics, Computer Science, Mathematics, or related fields; or equivalent experience.
  • 5+ years experience using SQL
  • 2+ years of experience using dbt and Snowflake Data Cloud
  • 2+ years of experience working within a CICD framework.
  • Advanced understanding of data warehousing concepts and modern data stack tools, specifically dbt and Snowflake Data Cloud
  • Working knowledge of SCRUM and Kanban Agile methodologies


KNOWLEDGE, SKILLS AND ABILITIES

  • Communication Skills: Effective communication of technical findings to non-technical stakeholders is imperative.
  • Business Acumen: Ability to translate data insights into actionable business recommendations.
  • Problem-Solving Skills: Analytical mindset to tackle complex data challenges.
  • Agile Mindset: Adaptability to changing requirements and priorities.
  • Attention to Detail: Ensuring data accuracy and quality.
  • Continuous Learning: Staying updated with industry trends and emerging technologies.
  • Mentorship: Ability and willingness to mentor less experienced team-members

TOTAL REWARDS

  • This role is also eligible for a competitive benets package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; exible spending and HSA accounts; paid holidays; paid time off; paid volunteer days; employee assistance program; tuition assistance; parental leave; military leave assistance; QTS scholarship for dependents; wellness program, and other company benets.
  • This position is bonus eligible.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

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QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.