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Work From Home Azure Data Engineer Jobs in Missouri

Data Engineer - Multiple Positions

Chesterfield, MO ยท Remote

$113K - $136K/yr

... from various sources, and developing tools for data processing and analysis. You will play a ... work. Architect Complex Solutions: Design, develop, deploy, and document complex customer ...

Data Architect - Azure and Big Data

Saint Louis, MO ยท On-site +1

$61.75 - $80.50/hr

Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling ... tools from on-premise and cloud infrastructure to Azure * Ability to produce high-quality work ...

WORK FROM HOME

Independence, MO ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

Data Engineer-US

Columbia, MO ยท On-site +1

$109K - $130K/yr

AGT brings together exceptional talent from across the globe and embeds them directly within client ... Work with cloud-based data solutions and services across platforms such as AWS or Azure * Develop ...

This role is designed for individuals looking to learn a new skill and work from home with support. Responsibilities: * Connect with individuals requesting information * Provide guidance on coverage ...

This role is designed for individuals looking to learn a new skill and work from home with support. Responsibilities: * Connect with individuals requesting information * Provide guidance on coverage ...

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Work From Home Azure Data Engineer information

See Missouri salary details

$41.7K

$121.7K

$166.5K

How much do work from home azure data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for work from home azure data engineer in Missouri is $121,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $129,000.00 per year, depending on experience, location, and employer.

What is a work from home Azure Data Engineer?

A Work From Home Azure Data Engineer is a remote role where professionals design, build, and manage data solutions using Microsoft Azure services. They develop data pipelines, optimize storage solutions, and ensure efficient data processing for business insights. This role requires expertise in Azure data services like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Strong knowledge of ETL processes, data modeling, and cloud security is essential. It allows professionals to collaborate with teams virtually while managing cloud-based data workflows.

What does a typical day look like for a work from home Azure Data Engineer?

A typical day for a Work From Home Azure Data Engineer involves designing, developing, and maintaining data pipelines using Azure services to ensure data is clean, accessible, and ready for analysis. You may attend virtual meetings with data scientists, analysts, and business stakeholders to discuss requirements and progress, and collaborate via team chat platforms. Daily tasks often include writing and optimizing SQL queries, troubleshooting pipeline issues, and working on new data integration projects. The remote setting requires frequent communication and clear documentation, but also offers flexibility in managing your own schedule and workspace.

What are the key skills and qualifications needed to thrive as a work from home Azure Data Engineer?

To thrive as a Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, cloud computing (especially Microsoft Azure), and a relevant degree in computer science or a related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Databricks, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving, communication, and time management skills are crucial for remote collaboration and delivering effective solutions. Together, these skills enable you to build robust data pipelines and analytics solutions while efficiently working in a distributed team environment.

What are popular job titles related to Work From Home Azure Data Engineer jobs in Missouri?

For Work From Home Azure Data Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Work From Home Azure Data Engineer jobs in Missouri look for?

The top searched job categories for Work From Home Azure Data Engineer jobs in Missouri are:

What cities in Missouri are hiring for Work From Home Azure Data Engineer jobs?

Cities in Missouri with the most Work From Home Azure Data Engineer job openings:

Infographic showing various Work From Home Azure Data Engineer job openings in Missouri as of August 2026, with employment types broken down into 84% Full Time, 4% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,674 per year, or $58.5 per hour.

Data Engineer - Multiple Positions

Chesterfield, MO โ€ข Remote

Koantek
IT Servicesย โ€ขย 11 - 50 employees

$113K - $136K/yr

Contractor

Re-posted 6 days ago


Job description

Location: United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.

Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements Minimum qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components.

Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark.

In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.

Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.

Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Good to have Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional.