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Remote Azure Data Engineer Jobs in Missouri (NOW HIRING)

Data Engineer - Multiple Positions

Chesterfield, MO ยท Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified ...

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, visualization, AI, and analytics * Design and Build Azure Data services including ADF, ADL, AMM ...

Data Engineer-US

Columbia, MO ยท On-site +1

$109K - $130K/yr

Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ... Work with cloud-based data solutions and services across platforms such as AWS or Azure * Develop ...

Data Engineer (remote)

Kansas City, MO ยท Remote

$75K - $90K/yr

WHO WE ARE AND WHAT WE DO The Data Engineering & Business Intelligence (BI) organization serves as ... S.-based remote role.* We're committed to creating a connected, collaborative culture, no matter ...

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Senior Software Engineer

Bridgeton, MO ยท Remote

$116K - $153K/yr

Position Summary As a Sr. Software Engineer on the MCDS (Multi Channel Claim Distribution Platform ... Design, implement, and optimize backend data persistence layers using Azure SQL Managed Instance ...

$88K - $106K/yr

Our partner is looking for a Data Engineer based in Netherlands. This role offers the opportunity ... Remote working arrangement. * Opportunity to contribute to modern cloud-based data infrastructure.

$112K - $148K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate ... Exposure working with major cloud platforms (GCP, AWS, or Azure) * Familiarity and experience with ...

Azure Architect

Saint Louis, MO ยท Remote

$61.75 - $80.50/hr

... Remote Apps etc. Experience and understanding of security requirements for cloud like IAM, Web ... Microsoft certified Azure certifications (preferred) Experience in Azure automation and DevOps ...

$88K - $106K/yr

Remote working environment. * Opportunity to work within a highly technical and engineering-focused team. * Exposure to challenging data, machine learning, infrastructure, and product engineering ...

Data Engineer Manager

Saint Louis, MO ยท On-site +1

$111K - $133K/yr

The Cloud Data Engineering team within Data Engineering will oversee the analysis, development ... Azure technologies Experienced in designing, developing, deploying cloud-based solutions which ...

$81K - $111K/yr

Our partner is looking for a Senior Data Engineer (Cloud) based in Netherlands. This role offers ... Fully remote, full-time opportunity with the flexibility to work from anywhere. * Initial ...

$81K - $111K/yr

You will work in a remote-first environment with high autonomy, fast feedback loops, pair programming, and limited unnecessary meetings. This is an opportunity to shape the data backbone behind ...

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Remote Azure Data Engineer information

See Missouri salary details

$41.7K

$121.7K

$166.5K

How much do remote azure data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote 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 remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

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

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are the most commonly searched types of Azure Data Engineer jobs in Missouri?

The most popular types of Azure Data Engineer jobs in Missouri are:

What are popular job titles related to Remote Azure Data Engineer jobs in Missouri?

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

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

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

Infographic showing various Remote Azure 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, 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 18 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.