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Senior Data Engineering Jobs in Phoenix, AZ (NOW HIRING)

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 ...

Senior Data Engineer I

Phoenix, AZ · On-site

$105K - $143K/yr

Working closely with Product, Architecture, Platform Engineering, and Business stakeholders, the Senior Data Engineer leads the adoption of modern data engineering practices, automation ...

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

The Senior Data Architect is expected to operate from strategy through implementation, partnering with engineering teams to design scalable solutions while actively participating in architecture ...

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

The Senior Data Architect is expected to operate from strategy through implementation, partnering with engineering teams to design scalable solutions while actively participating in architecture ...

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

$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 Engineer

Phoenix, AZ · Remote

$120K - $135K/yr

Senior Data Engineer - Revenue Cycle Management 100% Remote | U.S.-Based | Healthcare Data ... Strong/heavy claims experience * 5+ years of experience in data engineering, claims, revenue cycle ...

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 • ...

As a Sr. Data Scientist, you will evaluate and improve Amgen's digital assets, collaborating as ... Work closely with engineers to identify opportunities for process design improvements for Amgen ...

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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 ...

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 ...

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 ...

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Senior Data Engineering information

See Phoenix, AZ salary details

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$56

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How much do senior data engineering jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for senior data engineering in Phoenix, AZ is $56.41, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $66.83 per hour, depending on experience, location, and employer.

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 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 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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineering jobs in Phoenix, AZ?

The most popular types of Data Engineering jobs in Phoenix, AZ are:

What job categories do people searching Senior Data Engineering jobs in Phoenix, AZ look for?

The top searched job categories for Senior Data Engineering jobs in Phoenix, AZ are:

Infographic showing various Senior Data Engineering job openings in Phoenix, AZ as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,333 per year, or $56.4 per hour.

Senior Data Platform Engineer

Eitacies Inc

Phoenix, AZ • On-site

$100K - $135K/yr

Full-time

Retirement

Re-posted 22 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)