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Azure Data Engineer Jobs in Edmond, OK (NOW HIRING)

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK · On-site

$106K - $133K/yr

Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer. Keys to success: In order to be successful as a Data Engineer you ...

Pwc

Data Engineer - Senior Manager

Oklahoma City, OK · On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Addison Group

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

Data Engineer Direct Hire * Must be authorized to work in the United States now and in the future ... Support Azure SQL database administration, including performance tuning, security, access controls ...

Addison Group

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

Data Engineer Direct Hire * Must be authorized to work in the United States now and in the future ... Support Azure SQL database administration, including performance tuning, security, access controls ...

Flywheel Energy

Staff Data Engineer

Oklahoma City, OK · On-site

Job Summary As a Staff Data Engineer, you will focus on designing and building data infrastructure ... Experience working with cloud platforms (Azure, AWS, or GCP) and cloud-native data services

WARWICK INVESTMENT GROUP

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

Familiar with using version control systems like Git and Azure DevOps to manage and track changes in data models and scripts. DESIRED SKILLS * Snowflake and Microsoft Fabric : Proficient in using ...

Pwc

Data Strategy-Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Pwc

Data Governance- Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Life.Church

Data Engineer

Edmond, OK · On-site

$103K - $124K/yr

The YouVersion Data Engineer role will work across technical teams within the organization ... Experienced with Google Cloud Platform or other cloud data solutions such as AWS or Azure.

Life.Church

Data Engineer

Edmond, OK · On-site

$103K - $124K/yr

The YouVersion Data Engineer role will work across technical teams within the organization ... Experienced with Google Cloud Platform or other cloud data solutions such as AWS or Azure.

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Azure Data Engineer information

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$40.2K

$117.2K

$160.4K

How much do azure data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for azure data engineer in Edmond, OK is $117,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $124,200.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

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

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are the most commonly searched types of Azure Data Engineer jobs in Edmond, OK?

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For Azure Data Engineer jobs in Edmond, OK, the most frequently searched job titles are:

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Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Edmond, OK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $117,200 per year, or $56.3 per hour.

Data Engineer I,II,III, SR

Oklahoma City, OK • On-site

mytfcuhr
See more jobs at mytfcuhrexternal

$106K - $133K/yr

Full-time

Posted 25 days ago

Job description

Tinker Federal Credit Union’s IT Department has an immediate opening for a Data Engineer! This is an exciting opportunity to join one of the nation’s leading credit unions! We offer competitive pay, a robust benefits package, a “smart casual dress code” and much more! We want you to work and grow at TFCU, so there will be many opportunities for professional development and growth through training and continued education. We value you at TFCU!

As a Data Engineer, you will be responsible for the following:

  • Building and maintaining scalable data pipelines and infrastructure that support analytics, business intelligence, and data integration initiatives.
  • Ensures efficient and reliable access to data across the organization by designing robust data models, optimizing data workflows, and implementing data quality and governance practices.
  • Collaborate with stakeholders across the organization to translate business requirements into robust technical solutions while adhering to established best practices, security standards, and regulatory requirements

Salary Range:

This is a non-exempt position. The starting salary range is: Level I: $86,368.28309 - $107,960.35, Level II: $106,414.36 - $133,017.95, Level III $131,113.13 - $163,891.42, Senior:  $131,113.13 - $163,891.42 however, actual placement within the range will be determined individually based on your experience relative to organizational needs and internal salary equity.

Schedule:

Normally works a weekday schedule, but may be required to work evenings, holidays, or weekends. May be required to travel overnight with or without notice. Could be subjected to on-call status.

Education/Experience:

A bachelor’s degree in computer science, information systems, business analytics, applied statistics, or a related field for all levels is required. A master’s degree in computer science, information systems, computer engineering, artificial intelligence, machine learning, data science, or a closely related field is preferred at the Senior level.

Certificates, Licenses, Registrations:

  • Incumbent Bonding REQUIRED by TFCU’s chosen authority.
  • Certifications such as Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer.

Keys to success:

In order to be successful as a Data Engineer you must possess these qualifications:

  • Strong interpersonal and team collaboration skills.
  • Ability to communicate technical concepts effectively to technical and non-technical audiences.
  • Strong analytical and problem-solving skills with the ability to design scalable, efficient, and reliable data solutions.
  • Strong understanding of data structures, algorithms, and core data engineering principles.
  • Detail-oriented with the ability to maintain accurate technical documentation, data lineage, and metadata.
  • Ability to manage multiple projects, priorities, and deadlines in a dynamic environment.
  • Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred.
  • Strong understanding of data modeling, database design, and dimensional modeling techniques, including star and snowflake schemas.
  • Experience with Microsoft Fabric technologies, including Data Factory, Dataflows Gen2, Synapse, OneLake, and Power BI (Level II and above).
  • Knowledge of source control, CI/CD pipelines, and DevOps practices supporting data engineering solutions (Level II and above).
  • Knowledge of data governance, information security, privacy, and regulatory requirements, including data classification, encryption, GLBA, and protection of personally identifiable information (PII).
  • Advanced knowledge of cloud-based data platforms, semantic modeling, data architecture, and real-time data processing technologies (Senior Data Engineer).

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