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Remote Amazon 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 leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable ...

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 to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare ...

$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 ...

$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 ...

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 Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

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 ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

$112K - $148K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

You will have the autonomy to influence technology choices and establish best practices in a remote-first culture. Accountabilities: As the Head of Data Engineering, you will own the strategy ...

$40.75 - $55.75/hr

... remote environment. In this role, you will design, automate, and maintain cloud-based MLOps ... Strong hands-on experience with Amazon SageMaker and machine learning infrastructure. * Proven ...

Remote-first working environment with flexibility across Europe. * Opportunity to lead impactful engineering initiatives shaping the future of data and AI capabilities. * High level of ownership and ...

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Our data platform is what makes that visible - to our product teams, our clients, and ourselves. As ...

$79K - $104K/yr

Our partner is looking for a Lead Data Platform Engineer (German Speaker) based in Netherlands ... Fully remote position with flexible working arrangements. * High levels of autonomy and ownership ...

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Remote Amazon Data Engineer information

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What are the key skills and qualifications needed to thrive as a Remote Amazon Data Engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.
What are the most commonly searched types of Amazon Data Engineer jobs in Missouri? The most popular types of Amazon Data Engineer jobs in Missouri are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Missouri? For Remote Amazon Data Engineer jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Remote Amazon Data Engineer jobs? Cities in Missouri with the most Remote Amazon Data Engineer job openings:
Data Engineer

Data Engineer

nimble

Chesterfield, MO โ€ข On-site, Remote

$113K - $136K/yr

Other

Re-posted 22 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