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Azure Big Data Engineer Jobs in Missouri (NOW HIRING)

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

Should be well versed with Big Data Landscape, Data warehousing and Business Intelligence * Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hortonworks ...

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

Azure Data Engineer Associate or similar certification Behavioral Traits for Success: * Enjoys ... being recognized for the quality of their work * Willingness to work within established standards ...

Data Strategy-Manager

Kansas City, MO · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

Data Strategy-Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

At least 4 years application Big Data project implementation experience including requirements gathering, architecture, functional and technical design * At least 3 years of experience in leading ...

... Big Data is a must. Must have worked on projects that have resulted in code being deployed to ... Azure SDW strongly desired. â Expert knowledge of developing with Talend Cloud. â Knowledge of ...

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

Work with cloud-based data solutions and services across platforms such as AWS or Azure * Develop ... Collaborate with developers, analysts, architects, and business stakeholders to understand ...

Showing results 21-40

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

What job categories do people searching Azure Big Data Engineer jobs in Missouri look for?

The top searched job categories for Azure Big Data Engineer jobs in Missouri are:

What cities in Missouri are hiring for Azure Big Data Engineer jobs?

Cities in Missouri with the most Azure Big Data Engineer job openings:

Infographic showing various Azure Big Data Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer

Kansas City, MO • On-site

Reply
Software Development • 11 - 50 employees

$111K - $134K/yr

Full-time

Posted 11 days ago


Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
 
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills - someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
 
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
   Work directly with clients to understand business goals, data challenges, and technical requirements
   Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
   Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
   Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
   Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
   Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
   Bachelor's degree in computer science or related field
   6+ years of experience in data engineering, data platform development, or cloud data solutions
   3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
   Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
   Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI 
   DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
   Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
   Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
   Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
   Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements 
   Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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