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Senior Data Engineer Jobs in Gilbert, AZ (NOW HIRING)

Cuboid IT Solutions

Senior Data Engineer

Phoenix, AZ · On-site

$105.20K - $143K/yr

Phoenix, AZ Design Data Engineering capabilities that cater to the enterprise and span multiple functions such as data ingestion data transformation and define data pipeline standards and ...

Phoenix Staff

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 ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101.50K - $137.90K/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 ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101.50K - $137.90K/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 ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ

$101.50K - $137.90K/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 ...

Gen Digital Inc

Senior Data Engineer

Tempe, AZ · On-site

$103.20K - $140.10K/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 ...

Gen

Senior Data Engineer

Tempe, AZ

$101.50K - $137.90K/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 ...

Gen Digital

Senior Data Engineer

Tempe, AZ · On-site

$101.50K - $137.90K/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 ...

Phoenix Staff

Senior Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Senior Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Senior Data & AI Engineer to lead the design and delivery of secure ...

CIM Group

Senior Data Analyst

Phoenix, AZ · On-site

$85.40K - $107.70K/yr

Sr. Data Analyst CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer. Our team of experts works together to identify and create value in real assets ...

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Senior Data Engineer information

See Gilbert, AZ salary details

$80.8K

$126K

$174.5K

How much do senior data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for senior data engineer in Gilbert, AZ is $125,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $143,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are the most commonly searched types of Data Engineer jobs in Gilbert, AZ? The most popular types of Data Engineer jobs in Gilbert, AZ are:
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Senior Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Cuboid IT Solutions

Phoenix, AZ • On-site

$105.20K - $143K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

JOB DESCRIPTION
Roles/Responsibilities
LOCATION: Phoenix, AZ
Design Data Engineering capabilities that cater to the enterprise and span multiple functions such as data ingestion data transformation and define data pipeline standards and documentation.
Design Development and Testing of Data pipeline projects ensuring timely delivery and high-quality results.
Design technical solutions for data pipelines leveraging technologies like Databricks and Snowflake to achieve optimal performance.
Qualifications
- 5+ years of experience working as a data engineer working on large scale big data platforms.
- 1+ years or Data Architecture experience (you will be asked to provide example of how you designed and implemented these architectures in previous roles)
- Bachelors degree in computer science information systems or a related field advanced degree preferred. Relevant certifications in big data technologies are a plus.
- Strong understanding of data architecture data management and data governance principles.
- Expert knowledge of the following (ability to demonstrate these skills live during the interview): Spark Python Scala Hive Pig and MapReduce Databricks Snowflake
- Proven experience designing building and operating enterprise grade data streaming use cases leveraging one of the following: Kafka Spark Streaming Storm and/or Flink
- Experience working with on large scale cloud based data platforms (Amazon S3 Azure Data lake Store Google Cloud Storage etc)
o 100's or 1000's of concurrent users
o Data sets ranging from 1-1000 Terabytes
- Experience working with the latest cloud data platforms and technologies such as Databricks Snowflake and/or dbt Labs.
- Excellent verbal and written communication skills to effectively present complex ideas and insights to both technical and non-technical stakeholders.
- Demonstrated ability to work collaboratively in a team environment and effectively contribute to cross-functional projects.
- Strong attention to detail and a commitment to delivering high-quality work products within tight deadlines.

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