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Evening Remote 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 ...

Senior Data Engineer

Saint Louis, MO ยท Remote

$103K - $140K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... Provide technical leadership to data engineers, setting standards for solution design, coding ...

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 ...

Senior Data Engineer I

Kansas City, MO ยท On-site +1

$103K - $140K/yr

This position is fully remote, requiring a reliable internet connection in a private setting ... in data engineering, with a proven track record of solving complex problems and scaling data ...

$81K - $111K/yr

Fully remote work opportunity. * Opportunity to build enterprise-scale data quality and observability solutions. * High-impact role with ownership over data reliability strategy and engineering ...

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 ...

$81K - $111K/yr

Our partner is looking for a Senior Data Engineer (AI-Native) - Data Layer based in Netherlands ... Fully remote work environment across Europe. * Flexible working arrangements with meaningful ...

$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.

$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 ...

$66K - $83K/yr

Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable ... Fully remote work opportunity within an international and agile team. * Competitive compensation ...

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 ...

Working at the intersection of data science, analytics engineering, and product strategy, you will ... Fully remote work environment with flexibility and opportunities to collaborate with international ...

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

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Showing results 1-20

Evening Remote Data Engineer information

What remote jobs can I do in the evening?

Remote data engineering roles, including evening shifts, are available for professionals skilled in SQL, Python, and cloud platforms like AWS or Azure. These jobs often require strong analytical skills and the ability to work independently during non-standard hours, making them suitable for evening schedules. Many companies offer flexible remote positions that can be performed outside traditional business hours.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require strong programming, data architecture, and project management capabilities, along with relevant certifications.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more weekly by working full-time, typically requiring advanced skills in data pipelines, SQL, and cloud platforms like AWS or Azure. Increasing income may involve taking on multiple projects, freelance work, or specializing in high-demand areas such as machine learning or big data analytics.

How to make 2000 a week working from home?

A remote data engineer can earn $2,000 or more weekly by working full-time, often requiring advanced skills in data pipelines, SQL, and cloud platforms like AWS or Azure. Increasing income may involve taking on multiple projects, specializing in high-demand areas, or obtaining relevant certifications to command higher rates. Consistent remote work and strong technical expertise are key to reaching this income level.
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:
What are popular job titles related to Evening Remote Data Engineer jobs in Missouri? For Evening Remote Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Evening Remote Data Engineer jobs in Missouri look for? The top searched job categories for Evening Remote Data Engineer jobs in Missouri are:
What cities in Missouri are hiring for Evening Remote Data Engineer jobs? Cities in Missouri with the most Evening Remote Data Engineer job openings:
Infographic showing various Evening Remote Data Engineer job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer

Data Engineer

nimble

Chesterfield, MO โ€ข On-site, Remote

$113K - $136K/yr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


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