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Data Engineer Remote Work From Home Jobs in Missouri

Jobgether

$88K - $106K/yr

Our partner is looking for a Data Engineer, Sr. based in Netherlands. Join a high-impact ... Fully remote work environment with flexibility to work from anywhere. * Competitive contract ...

The Jernigan Agency

WORK FROM HOME

Saint Louis, MO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Independence, MO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

Kohl's

$112K - $148K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate ... from leadership and other company personnel * Ability to work as part of a team and interact ...

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Data Engineer Remote Work From Home information

Can I work remotely as a data engineer?

Yes, data engineering is a role that can often be performed remotely, especially when tasks involve data pipeline development, database management, and cloud-based tools. Many companies offer remote data engineering positions that require skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require on-site presence for collaboration or hardware access.

What is the difference between Data Engineer Remote Work From Home vs Data Analyst Remote Work From Home?

AspectData Engineer Remote Work From HomeData Analyst Remote Work From Home
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote, independent analysis, reporting tools
Industry UsageTech, finance, healthcareMarketing, retail, finance
Common Search IntentData engineering jobs, remote data engineering rolesData analysis jobs, remote data analyst roles

Data Engineer remote work from home roles focus on building and maintaining data pipelines, requiring technical skills and engineering certifications. Data Analysts, while also working remotely, primarily analyze data and generate reports. Both roles are in high demand across industries and often share similar remote work environments, but their core responsibilities and skill sets differ.

What is a data engineer remote work from home?

Data Engineer Remote Work From Home jobs involve designing, building, and maintaining data systems and pipelines for organizations, all while working remotely. These professionals manage, optimize, and organize data so it can be used effectively by analysts and other stakeholders. Remote data engineers use tools such as SQL, Python, and cloud services to ensure data is reliable and accessible, collaborating with teams virtually. This role offers flexibility in location and often requires strong communication and self-management skills.

How do data engineers working remotely typically collaborate with other team members?

Remote Data Engineers frequently collaborate with data scientists, analysts, and software engineers using digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, code reviews, and shared documentation help ensure that everyone stays aligned on project goals and timelines. Asynchronous communication is often used to accommodate different time zones, making clear documentation and proactive updates essential. Building strong relationships remotely may require extra effort, but it is key to maintaining productivity and fostering teamwork.

What are the key skills and qualifications needed to thrive as a data engineer in a remote work-from-home setting?

To thrive as a Data Engineer in a remote work-from-home role, you need expertise in data modeling, ETL processes, programming languages like Python or SQL, and typically a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Hadoop, cloud data platforms (AWS, Azure, Google Cloud), and relevant certifications like AWS Certified Data Analytics are often required. Strong problem-solving skills, self-motivation, and effective communication are crucial for managing projects and collaborating virtually. These skills and qualities ensure the efficient design, implementation, and maintenance of data infrastructure, enabling reliable data-driven decision-making even in a remote environment.
What are popular job titles related to Data Engineer Remote Work From Home jobs in Missouri? For Data Engineer Remote Work From Home jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Work From Home jobs in Missouri look for? The top searched job categories for Data Engineer Remote Work From Home jobs in Missouri are:
What cities in Missouri are hiring for Data Engineer Remote Work From Home jobs? Cities in Missouri with the most Data Engineer Remote Work From Home job openings:
Data Engineer Remote Work From Home jobs near you
Infographic showing various Data Engineer Remote Work From Home job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Engineer, Sr.

Jobgether

Remote

$88K - $106K/yr

Contractor

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer, Sr. based in Netherlands.

Join a high-impact engineering team focused on modernizing large-scale data infrastructure and supporting critical database migration initiatives. In this role, you will design, build, and optimize cloud-based data pipelines while ensuring the reliable movement and transformation of structured and unstructured data. You'll work with modern AWS technologies, data lakes, and warehouse architectures to deliver scalable, high-performance solutions. This position offers the opportunity to solve complex technical challenges, collaborate with cross-functional teams, and contribute to product-driven development in a fully remote environment. If you enjoy building resilient data platforms and driving cloud innovation, this is an excellent opportunity to make a meaningful impact.

Accountabilities
  • Design, develop, and maintain scalable ETL pipelines to support large-scale data migration and integration projects.
  • Build, configure, and optimize AWS-based data lake and warehouse solutions using services such as Glue, S3, Athena, Redshift, Lake Formation, Lambda, EventBridge, and Step Functions.
  • Develop Python scripts and database procedures to automate data processing, transformation, validation, and migration workflows.
  • Manage relational databases, including MySQL, SQL Server, and Aurora MySQL, with a focus on performance, replication, and reliability.
  • Configure and troubleshoot AWS data engineering services, including Glue Catalog, Hudi tables, SQS, and CloudFormation resources.
  • Monitor data platforms, identify performance bottlenecks, and implement improvements to ensure scalability, security, and operational excellence.
  • Collaborate with product, engineering, and business teams while contributing to Agile development processes and technical planning.
Requirements
  • Proven experience as a Data Engineer with strong expertise in AWS cloud data engineering and migration projects.
  • Hands-on experience with AWS services including S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions, EventBridge, CloudFormation, and RDS.
  • Strong knowledge of relational databases, including MySQL, SQL Server, and data warehouse architecture, particularly Amazon Redshift.
  • Proficiency in Python for scripting, automation, ETL development, and data transformation.
  • Experience working with structured and unstructured data, data cleansing, conversion, and large-scale ETL processes.
  • Knowledge of Hudi table management, AWS Glue Catalog, SQS, and cloud-based data lake implementations.
  • Familiarity with Agile methodologies and product-focused software development environments.
  • Excellent analytical, troubleshooting, communication, and leadership skills with the ability to work independently in a remote setting.
  • Experience with AWS Database Migration Service (DMS), Scala, or Aurora MySQL replication is considered an advantage.
Benefits
  • Fully remote work environment with flexibility to work from anywhere.
  • Competitive contract compensation based on experience.
  • Opportunity to work on large-scale cloud migration and modern data platform initiatives.
  • Exposure to a broad AWS ecosystem and advanced cloud-native technologies.
  • Collaborative Agile environment with high levels of ownership and technical autonomy.
  • Opportunity to contribute to innovative, product-driven engineering projects and expand cloud data engineering expertise.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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