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Sr Database Engineer Jobs in Gilbert, AZ (NOW HIRING)

Senior Data Engineer

Scottsdale, AZ · On-site

$106K - $145K/yr

Infomatics is hiring a Senior Data Engineer on a direct hire/FTE basis to lead design, development ... This position requires a minimum of 10 years of progressive database development and integration ...

Senior SQL Database Administrator

Mesa, AZ · Hybrid

$49.25 - $68/hr

The Senior SQL Database Administrator (DBA) is a strategic technical leader responsible for the ... This role partners closely with engineering, infrastructure, and business teams to ensure high ...

Senior SQL Database Administrator

Mesa, AZ · On-site

$49.25 - $68/hr

The Senior SQL Database Administrator (DBA) is a strategic technical leader responsible for the ... This role partners closely with engineering, infrastructure, and business teams to ensure high ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site

$106K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and advancing Axon's Corporate Data Platform - a best-in-class, cloud-native data warehouse that serves as the ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and advancing Axon's Corporate Data Platform - a best-in-class, cloud-native data warehouse that serves as the ...

Senior Data Engineer - Work From Home

Phoenix, AZ · On-site +1

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

Senior Data Engineer - Work From Home This Senior Data Engineer position is a 100% Remote opportunity. We are looking for an experienced Data Engineer to join the data platform team, which is at the ...

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 GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Senior GCP Data Engineer Job Location: Phoenix, AZ Job Type: Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using Dataflow (Apache Beam) * Build real-time ...

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the ...

Senior Data Engineer - Central (7872)

Phoenix, AZ

$100K - $136K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The Senior Data Engineer plays a critical role within the Business Intelligence team, designing ... Experience with performance tuning and database optimization * Experience working with healthcare ...

Senior Data Engineer - Central (7872)

Phoenix, AZ · On-site

$100K - $136K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The Senior Data Engineer plays a critical role within the Business Intelligence team, designing ... Experience with performance tuning and database optimization * Experience working with healthcare ...

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

  • PTO

Position Profile The Senior Data & AI Engineer will need to have deep hands‑on experience in Snowflake, Microsoft Fabric (incl. OneLake), and healthcare data ecosystems. The ideal candidate ...

Senior Data Engineer

Scottsdale, AZ · On-site

$106K - $144K/yr

We are seeking a Senior Data Engineer with the technical expertise, architectural insight, and problem-solving skills to design, build, and maintain our modern data platform. The ideal candidate will ...

New

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 ... Fluency in SQL and NoSQL databases with understanding of data modeling and optimization techniques.

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

  • PTO

Position Profile The Senior Data & AI Engineer will need to have deep handson experience in Snowflake, Microsoft Fabric (incl. OneLake), and healthcare data ecosystems. The ideal candidate ...

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes ... Fluency in SQL and NoSQL databases with understanding of data modeling and optimization techniques.

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes ... Fluency in SQL and NoSQL databases with understanding of data modeling and optimization techniques.

Showing results 21-40

Sr Database Engineer information

See Gilbert, AZ salary details

$79K

$123.3K

$170.8K

How much do sr database engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for sr database engineer in Gilbert, AZ is $123,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $140,500.00 per year, depending on experience, location, and employer.

What are some common challenges Sr database engineers face when managing large-scale database systems?

Sr Database Engineers often encounter challenges such as ensuring data integrity and security across complex, distributed systems, optimizing database performance under heavy workloads, and planning for scalability as data volumes grow. They must also manage regular backups, disaster recovery plans, and stay updated with evolving database technologies. Collaboration with development, DevOps, and security teams is essential to address these challenges and maintain seamless data operations.

What is the difference between Sr Database Engineer vs Database Administrator?

AspectSr Database EngineerDatabase Administrator
CredentialsBachelor's/Master's in CS, SQL certificationsBachelor's in CS or related, SQL certifications
Work EnvironmentDesign, develop, optimize databases, often in development teamsMaintain, monitor, and troubleshoot databases in production
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise, IT departments for database management
Search/Comparison IntentFocus on database design and development skillsFocus on database maintenance and support skills

The Sr Database Engineer primarily focuses on designing and developing databases, ensuring optimal performance and scalability. In contrast, a Database Administrator manages and maintains existing databases, ensuring their security, availability, and integrity. Both roles require similar credentials and are vital in organizations that rely heavily on data management.

What is a Sr database engineer?

Sr Database Engineers are experienced professionals responsible for designing, implementing, maintaining, and optimizing complex database systems for organizations. They ensure data integrity, security, and availability, often working with large-scale databases and advanced technologies. Their role includes troubleshooting performance issues, developing backup and recovery strategies, and collaborating with developers and IT teams to support data-driven applications. Sr Database Engineers also help define best practices and mentor junior staff.

What are the key skills and qualifications needed to thrive as a Sr database engineer?

To thrive as a Sr Database Engineer, you need advanced knowledge of database design, optimization, and management, typically supported by a degree in computer science or a related field and several years of experience. Expertise in database platforms (like SQL Server, Oracle, or MySQL), proficiency with scripting languages, and certifications such as Microsoft Certified: Azure Database Administrator Associate or Oracle Certified Professional are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate with stakeholders and address complex data challenges. These skills ensure the reliability, security, and scalability of critical data systems that support business operations.
What cities near Gilbert, AZ are hiring for Sr Database Engineer jobs? Cities near Gilbert, AZ with the most Sr Database Engineer job openings:
Infographic showing various Sr Database Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $123,288 per year, or $59.3 per hour.

Senior Data Engineer

MSR Technology Group

Scottsdale, AZ • On-site

$106K - $145K/yr

Full-time

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


Job description

Infomatics is hiring a Senior Data Engineer on a direct hire/FTE basis to lead design, development and implementation efforts on our client’s Enterprise Analytics platform which includes an MPP Enterprise Data Warehouse, cloud-based Data Lake and other Big Data technologies.
Essential Duties and Responsibilities:
  • Guides the the strategic capabilities and architecture design related to Data Warehousing, Big Data and Data analytics in close collaboration with Technical Leadership.
  • Architects and develops code for large-scale ETL pipelines with data processing frameworks supporting distributed data warehouse and distributed analytic systems running in the cloud.
  • Leads side-by-side design sessions with our business experts and engineers to understand our product and business to design, socialize, and implement proper conceptual, logical and physical data models.
  • Spearheads efforts with multiple, disparate, data providers, as well as downstream consumers, to engineer efficient, tracable, and fault tolerant, batch and streaming, data pipelines to that support complex analytical analysis and enterprise-wide Business Intelligence applications
  • In collaoration with our Data Science team, lead efforts to develop and implement production grade code/pipelines, in laguages including Python, leveraging advanced statistical routines, Machine Learning and other AI technologies.
  • Responsible for oversight and improvements on approaches to monitor and support data quality automation efforts. Working along side QA Engineering, implement quality check routines as part of data processing frameworks and validates flow of information.
  • Drives engineering efforts for Data Warehouse and Big Data infrastructure needs, including but not limited to, automation of system builds, security requirements, performance requirements and logging/monitoring in collaboration with DevOps engineers
  • Resolves escalated issues related to complex data anomolies and performance. In addition, implements adjustments, conducts after action reviews to determine root cause/corrective measures, and ensures knowledge transfer to operations support team.
  • Provides mentorship and guidance to help guide and grow the technical depth of junior Data Engineers and across the BI & Analytics team.
  • Ensures documentation is complete and up to date with regard to standards, best practices and technical specifications.
  • Leads design and code review sessions and provides feedback and mentorship to peers.
  • Educates the BI & Analytics team on the latest industry technologies, trends and strategies; Provides thought leadership around approaches, patterns and best practices in the Data Engineering domain.
  • Assists employees, vendors or other customers by answering questions related to Data Warehousing and Big Data processes, procedures and services
  • Collaborate with data team, product owners, Scrum-master to refine and estimate stories/epics to deliver on commitments on time and with high quality while providing exceptional customer service
  • Provides Tier 3 support and create run books to mentor Tier 1 and Tier 2 support staff
  • Other duties as assigned
Background & Experience Required:
  • This position requires a minimum of 10 years of progressive database development and integration experience.
  • Demonstrated experience in designing and implementing large-scale logical and physical data model with expert knowledge of Kimball methodologies.
  • Demonstrated advanced/expert level experience in multiple relational (RDMS) and non-relational (NoSQL) data platforms is required.
  • Demonstrated advanced experience in SQL tuning, indexing, distribution, partitioning, data access patterns and scaling strategies is required.
  • Demonstrated advanced scripting knowledge with Jupyter/Python or R is required.
  • Demonstrated expert experience with data integrations and data processing for business intelligence and analytics workloads is required.
  • Experience in software versioning tools including git, SVN or related.
  • Advanced experience with AWS S3 or other distributed object stores, MPP Data Warehousing, (e.g. AWS Redshift), Elastic MapReduce is needed.
  • Experience implementing statistical models, ML and other AI technologies into production data is required.
  • Experience developing container
  • Demonstrated experience implamenting Big Data pipelines including Spark, Hive, Sqoop or related technologies.
  • Experience implementing streaming data pipelines to support realtime and near realtime decision making.
  • Understanding of Software Development Life Cycle (SDLC) methodologies such as Agile and Waterfall is needed.
  • Proven track record of designing data platforms leveraging large complex data sets.
Educational Requirements:
This position requires a Bachelors Degree in Computer Science, Computer Information Systems or related or equivalent experience.
Data or cloud related certifications are a plus.