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Remote Azure Data Engineer Jobs in Missouri (NOW HIRING)

Data Engineer

Chesterfield, MO ยท On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... Key Responsibilities Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks ...

Data Engineer

Chesterfield, MO ยท On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... Key Responsibilities โ€ข Design, build, and optimize ETL/ELT pipelines using Azure Synapse ...

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 ...

$88K - $106K/yr

As a Data Engineer, you will design, develop, and maintain scalable data pipelines that transform ... Fully remote working opportunity across eligible locations. * Flexible working environment designed ...

Sr. Data Engineer

Saint Louis, MO ยท Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Cloud experience with Azure and/or AWS. * Comfort working independently across concurrent projects ...

$81K - $111K/yr

As a Senior Data Engineer, you will own the complete data lifecycle, from ingestion and ... Working in a fully remote, high-growth environment, you will design scalable data platforms that ...

$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 ...

Senior Data Engineer

O Fallon, MO ยท Remote

$99K - $134K/yr

Title and Summary Senior Data Engineer About the Role As a Senior Data Engineer, you'll take ... Azure, or GCP) and modern data tooling Experience with event-driven or streaming architectures ...

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 ...

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 ...

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 Application Firewalls, Data protection etc. Experience in configuring RBAC for Azure Resource Groups ...

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Experience with cloud data infrastructure (AWS, GCP, or Azure) and modern data platform tools (e.g ...

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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 Jul 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 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 is a Remote Azure Data Engineer job?

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 in the Remote Azure Data Engineer position, and why are they important?

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 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 job categories do people searching Remote Azure Data Engineer jobs in Missouri look for? The top searched job categories for Remote Azure Data Engineer jobs in Missouri 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 July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $121,674 per year, or $58.5 per hour.
Data Engineer

Data Engineer

nimble

Chesterfield, MO โ€ข On-site, Remote

$113K - $136K/yr

Other

Re-posted 19 days ago


Job description

Description


Data Engineer

Chesterfield Office Hybrid or Remote


Why You'll Want to Join!ย 


Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.


Position Overview


Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data-claims, EMR/EHR, HL7/FHIR-into actionable insights that drive revenue cycle optimization and clinical outcomes.


Why This Role Matters


Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.


Key Responsibilities


Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake

Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards

Write and optimize SQL queries for performance across large healthcare datasets

Implement data governance, quality frameworks, and HIPAA compliance controls

Collaborate with analytics, data science, and business teams to define data requirements

Monitor and troubleshoot data pipeline health and performance

Develop Python or Scala code for complex transformations and data processing

Support Power BI and analytics teams with data modeling and performance optimization

Document data lineage, transformations, and technical architecture

Requirements


3+ years of professional data engineering or ETL/ELT development experience

Expert-level SQL skills with proven optimization experience

Proficiency in Python, Scala, or similar data processing languages

Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)

Understanding of healthcare data standards (HL7, FHIR, claims data structures)

Strong grasp of data modeling, normalization, and schema design

Experience with data versioning, CI/CD pipelines, and data quality frameworks


Preferred Qualifications


Experience with Microsoft Fabric or Azure Data Factory

Knowledge of HIPAA compliance and healthcare data security

Background in healthcare, RCM, or claims processing

Experience with dbt (data build tool) or equivalent transformation frameworks

Exposure to dimensional modeling and data warehousing best practices


What Success Looks Like


In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics

In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components

Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance