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Remote Data Engineering Apprenticeship Jobs in Tempe, AZ

... seeking a Data Center COE Service Site Manager in Arizona. This remote role involves leading ... Candidates must possess a BS in Engineering or Management and have 5+ years of relevant field ...

Senior Data Engineer Location: Remote Salary: $165,000 - $190,000 depending on experience Reports ... engineering or analytics engineering Hands‐on experience with Microsoft Fabric (lakehouse ...

AI Data Architect

Phoenix, AZ · On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

Remote, United States Date Posted: May 11, 2026 Employment Type: Full Time Job ID: R-1915 ... Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline ...

Big Data Engineer with Java

Phoenix, AZ · Remote

$55.25 - $73.25/hr

Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big Data toolsets: Hadoop echo system ...

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION SUMMARY: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Utilizes programming and analytical tools, including open source programs including Python, R and ...

You'll partner closely with Product, Data Engineering, and Application Development to deliver high ... This is a fully remote position, and we'll provide all the necessary equipment! * Work Environment:

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Remote Data Engineering Apprenticeship information

What are the key skills and qualifications needed to thrive as a Remote Data Engineering Apprentice, and why are they important?

To excel as a Remote Data Engineering Apprentice, you need a foundational understanding of programming (especially Python or SQL), data modeling, and database management, typically supported by relevant coursework or a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and version control systems (such as Git) is often required, and certifications in these areas can be beneficial. Strong problem-solving, communication, and self-motivation are vital soft skills for collaborating virtually and adapting to new challenges. These skills ensure you can effectively contribute to data projects, learn quickly in a remote environment, and support team goals in a rapidly evolving field.

What are some common challenges faced by remote data engineering apprentices, and how can they be effectively managed?

Remote data engineering apprentices often encounter challenges such as limited face-to-face mentorship, managing time zones, and ensuring strong communication with team members. To overcome these, it helps to proactively schedule regular check-ins with mentors, set clear daily goals, and utilize collaboration tools like Slack or Jira. Establishing a dedicated workspace and adhering to a structured routine can also foster productivity and help apprentices stay engaged with their projects and team.

What is a Remote Data Engineering Apprenticeship?

A Remote Data Engineering Apprenticeship is a structured training program where individuals learn the fundamentals of data engineering while working remotely. Apprentices typically gain hands-on experience with data pipelines, databases, and tools such as SQL, Python, and cloud services under the supervision of experienced mentors. The goal is to prepare apprentices for a full-time role as a data engineer by exposing them to real-world projects and industry best practices. This type of apprenticeship is ideal for those looking to start a career in data engineering while benefiting from the flexibility of remote work.

What is the difference between Remote Data Engineering Apprenticeship vs Remote Data Engineer?

AspectRemote Data Engineering ApprenticeshipRemote Data Engineer
Required CredentialsTypically entry-level, often requiring basic programming or data fundamentalsUsually requires a bachelor's degree in computer science, data science, or related field, with experience in data tools
Work EnvironmentTraining-focused, often part-time or structured learning programsFull-time remote role with project responsibilities
Employer & Industry UsageUsed by companies to train new talent; common in tech and data-driven industriesHired as a professional to develop and maintain data pipelines and systems

The Remote Data Engineering Apprenticeship is an entry-level training program designed to develop foundational skills in data engineering, often with mentorship and structured learning. In contrast, a Remote Data Engineer is a full-time professional responsible for building and managing data infrastructure. The apprenticeship prepares individuals for a career in data engineering, while the data engineer role involves applying those skills in real-world projects.

What are popular job titles related to Remote Data Engineering Apprenticeship jobs in Tempe, AZ? For Remote Data Engineering Apprenticeship jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering Apprenticeship jobs in Tempe, AZ look for? The top searched job categories for Remote Data Engineering Apprenticeship jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Remote Data Engineering Apprenticeship jobs? Cities near Tempe, AZ with the most Remote Data Engineering Apprenticeship job openings:
Infographic showing various Remote Data Engineering Apprenticeship job openings in Tempe, AZ as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Director, Data Engineering & Architecture

Senior Director, Data Engineering & Architecture

Breakthru

Phoenix, AZ • On-site, Remote

$66.75 - $89.25/hr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Job description

Time Type:

Full time

Remote Type:

Job Family Group:

Information Technology

Job Description Summary:

Breakthru Beverage Group (BBG) is in the midst of a major enterprise transformation to modernize our data foundations, simplify our technology landscape, and enable AI-driven decision-making across the business. A core pillar of this transformation is the development of a modern, scalable Snowflake data platform on AWS - the backbone for enterprise reporting, data products, and advanced analytics.
We are seeking a strategic, hands-on engineering and architecture leader to build and evolve BBG's enterprise data platform and establish our long-term enterprise architecture standards. This senior data leader will define the blueprint for how data is ingested, modeled, governed, and consumed - while also being unafraid to dive into code, solve complex engineering challenges, and set engineering excellence across the organization.
The Sr. Director of Data Engineering & Enterprise Architecture will lead the teams and capabilities responsible for building BBG's modern data platform and defining the enterprise-wide data architecture required for operational reporting, business insights, and AI products. This role sits at the intersection of strategy, architecture, and hands-on engineering. You will define and enforce architectural patterns, build reusable data products, drive modernization away from legacy systems, and ensure the platform is AI-ready and scalable to support BBG's multi-year transformation agenda.

Job Description:

This role follows a flexible hybrid schedule, with two days per week in the office and three days working from home. This role can be performed from any Breakthru Beverage Office Location.

Job Responsibilities:

  • Build & Lead High-Performing Teams
    • Build, hire, and lead a high-performing team of data engineers and architects, setting clear expectations, standards, and accountability.
    • Coach, mentor, and develop team members through hands-on technical leadership, fostering a culture of excellence, ownership, and continuous improvement.
  • Strategy & Planning
  • Define and own the multi-year data engineering and enterprise data architecture strategy, ensuring alignment with BBG's short- and long-term business objectives and overall technology roadmap.
  • Translate enterprise and business priorities into a clear, executable roadmap that balances near-term delivery, long-term architectural integrity, and AI readiness.
  • Partner with IT, Finance, and business leaders to prioritize initiatives, sequence investments, and ensure disciplined execution across BBG's data and technology transformation portfolio.
  • Lead Data Engineering & Platform Build
    • Build, lead, and mature BBG's Data Engineering function responsible for the Snowflake data platform, ingestion pipelines, data transformations, and reusable enterprise data assets.
    • Develop and enforce modern engineering standards - CI/CD, dbt, Terraform, orchestration, testing, observability - to drive reliability, automation, and consistency.
    • Engineer the platform for AI readiness and developer productivity, designing scalable, AI-ready data foundations while leveraging AI-assisted development to accelerate delivery, improve code quality, and enhance the day-to-day engineer experience across the Data & AI organization.
  • Own Enterprise Data Architecture
    • Define the enterprise data architecture roadmap across ingestion patterns, canonical modeling, data products, MDM alignment, semantic layers, and AI-ready structures.
    • Establish standards for data modeling, metadata, lineage, data contracts, data quality, and architectural governance across the organization.
    • Own enterprise data architecture decisions and tooling strategy, leading evaluation, selection, and governance of data platforms and tools to ensure they align with BBG's target architecture, security standards, scalability requirements, and long-term roadmap.
  • Be Hands-On when Needed
    • Act as a hands-on technical leader, setting the engineering bar through direct involvement in complex technical challenges and critical architectural decisions.
    • Comfortable writing, reviewing and approving production-grade code (SQL, Python, dbt, Terraform) if required, ensuring high standards for quality, performance, security, and maintainability.
    • Lead code reviews and design reviews, providing constructive feedback, enforcing best practices, and ensuring alignment with BBG's engineering and architectural standards.
  • Partner Across the Business
    • Work closely with BBG's business functions to translate their needs into scalable data architecture and engineering deliverables.
    • Collaborate with SAP, AWS, and Snowflake partners to ensure alignment with BBG's modernization and investment roadmap.
    • Communicate architectural decisions clearly to both technical and non-technical stakeholders, influencing direction and securing alignment.
  • Other duties, as assigned by the jobholder's supervisor, may also be required

Qualifications:

  • Bachelor's degree in business, engineering, information technology or related work experience
  • 15+ years of experience in data engineering, enterprise data architecture, or software engineering, with 8+ years in an engineering or architecture leadership role.
  • Proven experience building, leading, and scaling high-performing engineering and architecture teams, including hiring, coaching, performance management, and developing senior technical leaders.
  • Deep experience architecting and operating modern cloud data platforms - ideally Snowflake on AWS - including storage design, compute optimization, performance tuning, and cost governance.
  • Hands-on expertise with SQL, Python, data modeling, ELT pipelines, dbt, orchestration frameworks (Airflow/MWAA), and DevOps tooling such as GitLab CI/CD.
  • Strong experience designing enterprise-wide data architecture, including canonical models, domain-driven data products, semantic layers, and MDM integrations.
  • Familiarity with SAP ECC/S/4 data structures and integration approaches (ODP, IDocs, APIs) is a plus.
  • Demonstrated ability to define architectural standards, influence engineering teams, and drive alignment across IT, business partners, and external vendors.
  • Experience enabling AI/ML use cases through well-designed data pipelines, feature stores, vector-enabled data sets, or integration with AWS (SageMaker, Bedrock) or Snowflake (Cortex) AI services.
  • A strong mix of strategic thinking and hands-on execution - able to see the big picture, define the long-term architecture, and also dive into code when necessary.
  • Excellent communication skills with the ability to guide decisions, simplify complexity, and represent data engineering and architecture at all levels of the organization.

Physical Requirements:

  • While performing the duties of this job, the employee is required to remain in a stationary position at times; communicate, and operate a computer and telephone.

Competencies:

  • Ability to develop complex, multi-project communication plans that understand IT goals, priorities, and resource constraints.
  • Anticipates significant problems and efficiently resolves most with minimal input; develops creative, feasible solutions to advanced problems, effectively advocates for adoption of proposed solutions and develops process for them.
  • Be decisive, a strategic planner, manage multiple tasks and deadlines, have excellent problem-solving skills, have strong business and budgeting acumen, and display calmness and composure under stress or uncertainty, inspiring the same in direct reports.

This job description is only a summary of the typical functions of this position, not an exhaustive or comprehensive list of all possible job responsibilities, tasks and duties. Responsibilities, tasks, and duties of individual jobholders may vary from the above description.

Salary and Benefit Statement:

Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience.

  • Salary Range: $168,000.00 - $220,000.00
  • This position is eligible to participate in a bonus program. Metrics and level of participation are determined annually.
  • This position is eligible for health care benefits, life insurance, time off benefits and participation in the Company's 401(k) plan
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Breakthru Beverage Group is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information and other legally protected characteristics. The EEO is the Law poster is available here. If you need a reasonable accommodation because of a disability for any part of the employment process, please call (708) 298-3536 and let us know the nature of your request and your contact information.