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Sr Data Engineer Jobs in Arizona (NOW HIRING)

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 ...

Senior Data Engineer (20187)

Phoenix, AZ

$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 ...

Senior Data Engineer - Central

Phoenix, AZ · On-site

$105K - $143K/yr

The Senior Data Engineer will design, build, and maintain scalable data architecture and data integration solutions to support clinical and operational initiatives, ensuring high data quality and ...

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project-dependent) Salary: $100,000 - $115,000 We are partnering with an organization seeking a skilled Data Engineer to ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$100K - $135K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Phoenix, AZ We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes our data science magic possible and scalable. What you'll be doing * Refactor and productionalize ...

As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes our data science magic possible and scalable. What you'll be doing * Refactor and productionalize ...

As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes our data science magic possible and scalable. What you'll be doing * Refactor and productionalize ...

Senior Data Engineer

Tempe, AZ · On-site

$101K - $137K/yr

TBD Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color ...

Senior Data Engineer

Tempe, AZ · On-site

$101K - $137K/yr

TBD Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

EITACIES Inc. is seeking a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. The role involves building and operating data pipelines on Google Cloud Platform and requires expertise in ...

Senior Data Platform Architect

Scottsdale, AZ · On-site

$67.25 - $89.75/hr

The Senior Data Platform Architect defines and governs the architecture of the enterprise analytics ... Acts as the technical authority aligning data engineering, analytics, and application development ...

Senior Data Platform Architect

Scottsdale, AZ · On-site

$67.25 - $89.75/hr

The Senior Data Platform Architect defines and governs the architecture of the enterprise analytics ... Acts as the technical authority aligning data engineering, analytics, and application development ...

Showing results 21-40

Sr Data Engineer information

See Arizona salary details

$75.5K

$117.7K

$163.1K

How much do sr data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for sr data engineer in Arizona is $117,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What job categories do people searching Sr Data Engineer jobs in Arizona look for? The top searched job categories for Sr Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Sr Data Engineer jobs? Cities in Arizona with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,724 per year, or $56.6 per hour.

Senior Data Engineer (20187)

La Mesa RV

Phoenix, AZ • On-site

$97K - $132K/yr

Full-time

Medical, Retirement

Re-posted 4 days ago


La Mesa RV rating

6.8

Company rating: 6.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

73rd of 151 rated car dealerships


Job description

La Mesa RV A family owned and operated company, La Mesa RV was founded in 1972. Our original location was in La Mesa, California. We have recently relocated to Phoenix, AZ. Our business philosophy is Customers and Employees are the most important people in the world. Putting this belief into practice has enabled James K, our founder, to guide LMRV on a path of growth and prosperity. LMRV has grown over the years to become one of the largest multi-location RV dealerships in the world and is recognized as a leader in the industry.
Apply to LMRV!! We offer a lot of room to grow internally!
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 development role focused on implementing scalable, secure, and high-performing data solutions. The ideal candidate will have deep expertise in data modeling, modern data architecture, data governance, and experience setting up data lakes, lakehouses, and data warehouses. Proficiency in Microsoft Fabric and familiarity with Power BI are essential.
Key Responsibilities
  • Design and implement robust data models (conceptual, logical, physical) to support analytics and AI workloads.
  • Architect and maintain data pipelines leveraging modern architecture concepts for managing structured and unstructured data.
  • Establish and enforce data governance frameworks, including data quality, lineage, metadata management, and compliance.
  • Build and manage data lakes, lakehouses, and warehouses using Microsoft Fabric and Azure services.
  • Develop and optimize ETL/ELT processes for batch and real-time data ingestion.
  • Plan and execute data migration strategies from SQL Server databases to Microsoft Fabric, ensuring data integrity and minimal disruption.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets.
  • Integrate data solutions with Power BI for reporting and visualization.
  • Ensure compliance with cybersecurity, data privacy, and regulatory requirements.
  • Define and enforce best practices for data performance, scalability, and maintainability.
  • Implement CI/CD pipelines and automated testing for data workflows.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field or relevant professional experience.
  • 5+ years of experience in data engineering roles.
  • Strong hands-on experience with:
  • Data modeling, schema evolution, and pipeline development.
  • Microsoft Fabric and Azure Data Services.
  • Data migration, ingestion, and database programming.
  • Knowledge of Medallion Architecture, event-driven architecture, data lakehouse concepts, and data governance principles.
  • Experience with AI/ML data pipelines.
  • Proficiency in Python, SQL, and Java for building scalable data solutions.
  • Strong understanding of data structures and algorithms for efficient data processing and optimization.
  • Knowledge of API development and integration for data ingestion and service-oriented architecture.
  • Hands-on experience with CI/CD practices and automated testing for data pipelines.
  • Understanding of streaming and event-driven architectures (e.g., Kafka, Kinesis) for real-time data processing.
  • Familiarity with Power BI integration and optimization.
  • Knowledge of SSRS (SQL Server Reporting Services) and SSIS (SQL Server Integration Services)preferred.
  • Proven experience working in Agile environments (Scrum/Kanban).
  • Excellent communication and documentation skills.

If you are looking for a role within a GROWING industry and a company that offers a family focused, FUN corporate culture, competitive pay, healthcare coverage, 401K and so much more then APPLY TODAY to learn more!!
Come join our FAMILY - where our core values are: Fun, Attitude, Make their day, Integrity, Listen and qualitY
Please look at our website: https://www.lamesarv.com/
EEO
La Mesa RV and affiliated companies are an Equal Opportunity Employer that strives to provide an inclusive work environment through the diverse talents of our team. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.
  • Understanding and practical use of AI coding tools such as Claude Code, Copilot and Codex.

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