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Manager Data Analytics Engineer Jobs in Waco, TX

Data Engineer II

Temple, TX · Hybrid

$92K - $111K/yr

Develop and manage data models, data warehouses, and data lakes that support reporting, analytics, and operational workloads. * Implement data engineering best practices, including automation ...

Ability to manage multiple priorities, meet deadlines, and support recurring reporting schedules. * Bachelor's degree in Business, Finance, Accounting, Data Analytics, Information Systems, Supply ...

dbt Engineer

Meridian, TX · On-site

$118K - $177K/yr

We're seeking out a dbt Engineer as an expert in data transformation and analytics engineering ... Hands-on experience with dbt Cloud, including project setup, environment management, and job ...

Snowflake Engineer

Meridian, TX · On-site

$96K - $144K/yr

... and analytical needs. Key Responsibilities Architecture & Design: * Design and build scalable ... and manage data within the Snowflake environment. * Implement data pipelines using Snowflake ...

Experience in data analytics, data science , or a related analytical role * Strong ability to ... Strong attention to detail with effective organization and time management skills Additional ...

Oversee operation and management of routine and emergency services on a variety of critical systems ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Oversee operation and management of routine and emergency services on a variety of critical systems ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Oversee operation and management of routine and emergency services on a variety of critical systems ... analysis of equipment failures and troubleshooting of facility within internal Service Level ...

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Manager Data Analytics Engineer information

See Waco, TX salary details

$39.5K

$115.2K

$157.6K

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

As of Aug 20, 2026, the average yearly pay for manager data analytics engineer in Waco, TX is $115,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $122,100.00 per year, depending on experience, location, and employer.

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.

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 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.

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

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

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

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

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

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

Data Engineer II

McLane Company

Temple, TX • Hybrid

$92K - $111K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


McLane rating

7.1

Company rating: 7.1 out of 10

Based on 182 frontline employees who took The Breakroom Quiz

27th of 49 rated food wholesalers


Job description

Take your career further with McLane!
McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.  

We're looking for a skilled Data Engineer II to design, build, and optimize scalable data solutions that support analytics, reporting, and advanced business intelligence initiatives. This role combines strong technical expertise in data engineering with a passion for delivering reliable, efficient, and high-quality data platforms that enable data-driven decision-making across the organization.

This is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius of Temple, TX.

Benefits you can count on:

  • Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance.
  • Paid time off begins day one.
  • 401(k) Profit Sharing Plan after 90 days.
  • Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

What You'll Do

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support enterprise data initiatives.
  • Build and optimize data integrations from multiple internal and external sources, ensuring data quality, integrity, and reliability.
  • Develop and manage data models, data warehouses, and data lakes that support reporting, analytics, and operational workloads.
  • Implement data engineering best practices, including automation, monitoring, testing, and performance optimization.
  • Work with cloud-based data platforms and services in Azure and/or GCP environments.
  • Support DataOps practices, including CI/CD pipelines, orchestration, and infrastructure automation.
  • Partner with data analysts, data scientists, business stakeholders, and application teams to understand requirements and deliver scalable data solutions.
  • Troubleshoot and resolve data issues while ensuring compliance with data governance and security standards.
  • Document processes, architectures, and technical solutions to support maintainability and knowledge sharing.

What We're Looking For

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 3-5 years of progressive experience in data engineering, data integration, or related technical roles.
  • Strong experience with SQL, Python, and modern data engineering frameworks and tools.
  • Experience developing and maintaining large-scale data pipelines and data integration solutions.
  • Knowledge of data warehousing, data modeling, ETL/ELT processes, and database design principles.
  • Experience with cloud data platforms and services in Azure and/or GCP.
  • Experience with DataOps practices, CI/CD pipelines, workflow orchestration, and automated testing.
  • Experience working with big data technologies, distributed processing frameworks, or cloud-native data architectures is preferred.
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills with both technical and non-technical stakeholders.
  • This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

Our roadmap. Our story.
We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130 years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.  

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.

All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/ 
 


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