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Senior Amazon Data Engineer Jobs in Arizona (NOW HIRING)

Dutch Bros. Coffee

Senior Engineer, Data

Tempe, AZ · On-site

$103K - $140K/yr

The Senior Data Engineer for Dutch Bros IT Data Management & Engineering organization plays a critical role in designing, developing & optimizing Data Management Pipelines for our Enterprise Data ...

Arka Infotech Inc

Sr.Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Sr. Big Data Engineer Location: Phoenix, AZ Job type: FTE Big Data exp.: 3+ years. Responsibilities (but not limited to): Implementation of various solutions arising out of the large data processing ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading ...

La Mesa RV

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Position Summary We are seeking a highly skilled Senior Data Engineer to design, build, and optimize enterprise data platforms that enable advanced analytics and AI initiatives. This is a hands-on ...

LA MESA RV INC

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Position Summary We are seeking a highly skilled Senior Data Engineer to design, build, and optimize enterprise data platforms that enable advanced analytics and AI initiatives. This is a hands-on ...

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Senior Amazon Data Engineer information

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

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.
What are the most commonly searched types of Amazon Data Engineer jobs in Arizona? The most popular types of Amazon Data Engineer jobs in Arizona are:
What are popular job titles related to Senior Amazon Data Engineer jobs in Arizona? For Senior Amazon Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Amazon Data Engineer jobs in Arizona look for? The top searched job categories for Senior Amazon Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Senior Amazon Data Engineer jobs? Cities in Arizona with the most Senior Amazon Data Engineer job openings:
Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in Arizona as of June 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution.

Senior Engineer, Data

Dutch Bros. Coffee

Tempe, AZ • On-site

$103K - $140K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Dutch Bros rating

7.0

Company rating: 7.0 out of 10

Based on 408 frontline employees who took The Breakroom Quiz

6th of 106 rated fast food restaurants

Job description

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.
Position Overview:
The Senior Data Engineer for Dutch Bros IT Data Management & Engineering organization plays a critical role in designing, developing & optimizing Data Management Pipelines for our Enterprise Data Platforms within our organization, ensuring that our data infrastructure is robust, flexible, and aligned with our strategic goals. The Senior Data Engineer contributes to data modeling, upholding data pipeline standards and best practices in shaping the technology backbone of our data ecosystem. They are responsible for designing, building, and maintaining the data cloud platforms that enable us to collect, store, process, and analyze vast amounts of data efficiently and effectively.
Job Qualifications:
  • 5+ years in implementing data-intensive solutions using agile methodologies.
  • Proficiency in programming languages for data engineering, especially Python and SQL and other Scripting languages like Spark, Powershell.
  • 2+ years of hands-on experience with Snowflake (Snowpipe, SnowSQL, replication, data-sharing) for production-grade data solutions.
  • 3+ years in analytic data modeling, including dimensional modeling and Data Vault 2.0.
  • Experience with data lake implementation, database design, and SQL on platforms like Oracle or SAP HANA.
  • Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion, and DBT.
  • Hands-on experience with Databricks, Cloud storage, and/or S3.
  • Good Understanding of Cloud-native development and container orchestration (e.g., Serverless, Docker, Kubernetes) and cloud platforms (AWS, Azure) and Devops fundamentals supporting Unit testing, CI/CD and repository management.
  • Familiarity with table and file formats (Iceberg, Hive, Avro, Parquet, JSON).
  • Familiarity with data privacy regulations knowledge (GDPR, CCPA) and Attribute-based data security.
  • Familiarity with Advanced Analytics support: building pipelines and frameworks for Machine Learning.
  • Skilled in handling structured and unstructured data and real-time data processing.
  • Snowflake or Databricks administration knowledge, preferred.
  • Knowledge of NoSQL and Redis-type databases, beneficial.
  • Knowledge and experience with Data Governance - Data Quality, Metadata management, Data Security, Data Archive is preferred.
  • Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights.
  • Excellent communication for conveying technical concepts to non-technical stakeholders.
  • Proven ability to work collaboratively in cross-functional teams.
  • Adaptable and proactive in learning new technologies in a dynamic data environment.
  • Strong time management skills to handle multiple projects and ensure high-quality deliverables.
  • Familiarity with both waterfall and agile/iterative delivery methodologies.
  • Food and Beverage experience, preferred.

Location Requirement:
This role is located in Tempe, Arizona. This position is required to be in office 4 days per week (Mon-Thurs); Fridays are optional remote work days.
Key Result Areas (KRAs):
Assess, design, build, and maintain the data pipelines that enables Dutch Bros teams to collect, store, process, and analyze vast amounts of data efficiently and effectively:
  • Seamless Snowflake Implementation: Successfully develop and deploy production- grade data solutions on Snowflake, databricks or similar tools Optimized Data Pipelines: Design and enhance ETL/ELT pipelines and data transformations for efficiency, supporting advanced analytics and real-time data processing with technologies such as Kafka, fivetran, databricks , and Matillion or leveraging pyspark
  • High-Quality Data Models: Implement dimensional and data products to improve data accuracy and accessibility, enabling comprehensive ad-hoc analysis, reporting, and visualization
  • Advanced Analytics Support: Develop and maintain data engineering frameworks that support machine learning workflows and complex data analyses, ensuring that data is readily available for actionable insights
  • Effective Communication and Collaboration: Articulate complex technical concepts clearly to non-technical stakeholders and collaborate effectively with cross-functional teams to drive project success and meet business objectives

Skills:
  • Data engineering
  • Functional Expertise
  • Data modeling
  • Data management and data governance
  • Leading by Influence
  • Detail-Oriented
  • Multitasking

Physical Requirements:
  • In-Office Environment: Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions
  • Must be able to collaborate in-person with occasional impromptu in-person meetings
  • Office Conditions: Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels
  • Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds
  • Hearing Requirements: Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.
  • Reading and Writing Proficiency: Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.
  • Vision Requirements: Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.
  • Technology Proficiency: Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.
  • Effective Communication: Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation:
DOE
If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!

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