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Senior Data Engineering Jobs in Arizona (NOW HIRING)

Eitacies Inc

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 ... * 6+ years of data engineering experience * Strong Python programming skills * Production ...

Troon

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 ...

Troon Golf

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 ...

EITACIES Inc.

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 ... Required : • 6+ years of data engineering experience • Strong Python programming skills • ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Establish and evolve engineering best practices, including dbt conventions, data modeling patterns ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site

$106K - $145K/yr

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Establish and evolve engineering best practices, including dbt conventions, data modeling patterns ...

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 ... Technical Skills: * 5+ years of experience in data engineering, data wrangling, or data curation ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... Technical Skills: * 5+ years of experience in data engineering, data wrangling, or data curation ...

Amphenol

Senior Data Engineer

Mesa, AZ · On-site

$100K - $130K/yr

Amphenol Industrial Operations is seeking a highly skilled and motivated Senior Data Engineer to ... Data engineering principles * Data modeling * ETL/ELT development * Data quality management

amphenol

Senior Data Engineer

Mesa, AZ · Remote

$105K - $142K/yr

Amphenol Industrial Operations is seeking a highly skilled and motivated Senior Data Engineer to ... Data engineering principles * Data modeling * ETL/ELT development * Data quality management

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Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

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

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
What are the most commonly searched types of Data Engineering jobs in Arizona? The most popular types of Data Engineering jobs in Arizona are:
What are popular job titles related to Senior Data Engineering jobs in Arizona? For Senior Data Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineering jobs in Arizona look for? The top searched job categories for Senior Data Engineering jobs in Arizona are:
What cities in Arizona are hiring for Senior Data Engineering jobs? Cities in Arizona with the most Senior Data Engineering job openings:
Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering 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.

Senior Data Platform Engineer

Eitacies Inc

Phoenix, AZ • On-site

$100K - $135K/yr

Full-time

Retirement

Re-posted 3 days ago

Job description

Benefits:
  • 401(k)

Senior Data Platform Engineer  
Onsite Phoenix, AZ
Job Description

We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ.
This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform.
Key Responsibilities:
  • Design and maintain Airflow DAGs for production data workflows
  • Develop and optimize Spark / PySpark jobs on Dataproc
  • Build and optimize complex SQL transformations
  • Develop REST APIs using FastAPI Python to support data services
  • Implement robust data quality and validation frameworks
  • Monitor pipeline performance, retries, and SLA compliance
Required Skills:
  • 6+ years of data engineering experience
  • Strong Python programming skills
  • Production experience with Apache Spark PySpark
  • Experience with Airflow DAG development
  • Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred)
  • Experience building APIs using FastAPI
  • Strong SQL and data modeling knowledge
  • Experience implementing data quality checks (schema validation, row count checks, anomaly detection)