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Full Time Remote Data Engineer Jobs in Missouri (NOW HIRING)

Nimble Solutions

Data Engineer

Chesterfield, MO · 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 ...

Jobgether

$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 ...

Jobgether

$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 ...

Kobie Marketing

Sr. Data Engineer

Saint Louis, MO · 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 ...

Jobgether

$81K - $111K/yr

Remote-friendly working environment with flexibility to work from locations where you perform best ... Exposure to cutting-edge AI, automation, and data engineering initiatives. * High-impact role ...

Kohl's

$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.

Jobgether

Competitive salary package. * Full-time remote-first role with flexibility to work from Germany ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Jobgether

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 ...

Hitachi

Senior Transformer Engineer

Earth City, MO · On-site +1

$99K - $136K/yr

Engineering & Science Job Schedule: Full time Remote: Yes Senior Transformer Engineer The ... Create and review test trip packs, validate test data, and compile reports. * Offer 24/7 technical ...

Psyctalent

BCBA - Remote

MO · Remote

$70K - $86K/yr

... on a full-time, remote basis. As a BCBA, you will have the opportunity to work with a diverse ... make data-driven decisions to modify treatment plans as needed - Collaborate with caregivers ...

Jobgether

Proven experience in a growth-focused data, analytics engineering, product analytics, or data ... Benefits * Full-time remote position with flexibility to work within European time zones.

Jobgether

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 ...

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All JobsData Engineer JobsFull Time Remote Data Engineer JobsFull Time Remote Data Engineer Jobs in Missouri

Full Time Remote Data Engineer information

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

To thrive as a Full Time Remote Data Engineer, you need strong programming skills (such as Python or Scala), a solid understanding of data modeling, and experience with database systems, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications (e.g., Google Cloud Professional Data Engineer) is typically required. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive. These competencies ensure robust, scalable data solutions and seamless teamwork across distributed environments.

How do Full Time Remote Data Engineers typically collaborate with cross-functional teams while working remotely?

Full Time Remote Data Engineers often work closely with data scientists, analysts, and software developers through virtual collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular stand-up meetings, sprint planning sessions, and code reviews are common practices to ensure alignment and smooth workflow across different time zones. Clear documentation, proactive communication, and sharing progress updates are essential for overcoming the challenges of remote teamwork and ensuring project goals are met efficiently.

What does a Full Time Remote Data Engineer do?

A Full Time Remote Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases from a remote location. They work with large sets of data, ensuring it is collected, stored, and processed efficiently for analysis and business decision-making. These engineers collaborate with data scientists, analysts, and other stakeholders to provide reliable data infrastructure while using tools such as SQL, Python, and cloud platforms. Working remotely, they leverage communication tools and version control systems to stay connected with their teams and manage projects effectively.

What is the difference between Full Time Remote Data Engineer vs Full Time Remote Data Analyst?

AspectFull Time Remote Data EngineerFull Time Remote Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certifications (e.g., Google Cloud Professional Data Engineer)Bachelor's in Statistics, Data Analysis certifications (e.g., Microsoft Certified Data Analyst)
Work EnvironmentDesigning data pipelines, managing databases, coding in Python, SQL, cloud platformsInterpreting data, creating reports, visualizations, using Excel, Tableau, SQL
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, consulting, finance, retail

Full Time Remote Data Engineers focus on building and maintaining data infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data and create insights, often using visualization tools. Both roles are in high demand for remote work, but they serve different functions within organizations.

What are the most commonly searched types of Remote Data Engineer jobs in Missouri? The most popular types of Remote Data Engineer jobs in Missouri are:
Full Time Remote Data Engineer jobs near you
Data Engineer

Data Engineer

Nimble Solutions

Chesterfield, MO • On-site, Remote

$113K - $136K/yr

Full-time

Posted 28 days ago

Job description

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 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

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