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Remote Data Transformation Analyst Jobs in Missouri

Jobgether

$81K - $111K/yr

Develop and maintain analytical data models and query layers using technologies such as Amazon ... Benefits: * Fully remote work arrangement from a home office in Romania, Poland, or Portugal.

Jobgether

As a Product Analyst, you will transform complex product and user data into actionable insights ... This role offers the chance to work in a fast-paced, fully remote environment where innovation ...

Jobgether

... transformation. * Analyze customer needs and translate business requirements into actionable ... Understanding of ETL processes, data architectures, and technology-driven business solutions.

Psyctalent

BCBA - Remote

MO · Remote

$70K - $86K/yr

Board Certified Behavior Analyst (BCBA) Company Overview: Psyctalent is a leading provider of ... make data-driven decisions to modify treatment plans as needed - Collaborate with caregivers ...

unigroup

Pricing Analyst

Des Peres, MO · On-site +1

Remote. While this is a remote position, occasional on-site attendance may be required as business ... This role is well suited for someone who enjoys working with data, solving complex business ...

Jobgether

As an Organic Growth Analyst, you will play a key role in supporting data-driven SEO and organic ... Fully remote work with the flexibility to work from anywhere. * Clear career progression toward an ...

Yuno

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Own the full lifecycle for your team - from ingestion and transformation to storage, serving, and ...

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Remote Data Transformation Analyst information

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

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

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What are the key skills and qualifications needed to thrive as a remote data transformation analyst, and why are they important?

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.
What are popular job titles related to Remote Data Transformation Analyst jobs in Missouri? For Remote Data Transformation Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Data Transformation Analyst jobs in Missouri look for? The top searched job categories for Remote Data Transformation Analyst jobs in Missouri are:
What cities in Missouri are hiring for Remote Data Transformation Analyst jobs? Cities in Missouri with the most Remote Data Transformation Analyst job openings:
Remote Data Transformation Analyst jobs near you
Infographic showing various Remote Data Transformation Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Jobgether

On-site, Remote

$81K - $111K/yr

Full-time

Re-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 Senior Data Engineer based in Netherlands.

The role focuses on designing and evolving scalable, cloud-native data platforms that support critical analytics, reporting, and product capabilities.
You will take ownership of complex data engineering solutions across ingestion, transformation, and data serving layers.
Working within a distributed international team, you will collaborate closely with backend engineers and technical stakeholders.
The position offers the opportunity to shape architecture decisions, improve data reliability, and build high-performing systems.
You will work extensively with AWS technologies, distributed processing, and modern engineering practices.
This is a high-impact opportunity for an experienced engineer who enjoys solving complex data challenges in a remote environment.

Accountabilities:

The Senior Data Engineer will be responsible for building and maintaining reliable, scalable data solutions while contributing to technical strategy and platform evolution.

  • Design, develop, and own batch-oriented data pipelines and ETL workflows using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon S3.
  • Build and optimize ingestion pipelines using AWS-native services, including AppFlow, DMS, and selected event-streaming solutions.
  • Develop and maintain analytical data models and query layers using technologies such as Amazon Athena, Amazon Redshift, and ClickHouse.
  • Design integrations between data workflows and backend microservices running on Amazon ECS.
  • Collaborate with software engineers to develop backend services and APIs that expose data capabilities.
  • Contribute to event-driven architectures using services such as EventBridge to coordinate workflows and system interactions.
  • Ensure data quality, lineage, observability, monitoring, and alerting across data systems.
  • Improve performance and scalability across data processing jobs, analytical queries, and storage solutions.
  • Implement engineering best practices around Infrastructure as Code, CI/CD, security, governance, and sensitive data handling.
  • Mentor other engineers and contribute to architectural decisions and long-term technical direction.
Requirements:

The ideal candidate brings extensive experience in data engineering and backend development, with strong technical expertise in cloud-based data platforms and distributed systems.

  • 8+ years of experience in data engineering, backend engineering, or a related hybrid role.
  • Strong hands-on experience with AWS services, including AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift.
  • Proven experience designing and building scalable batch data pipelines and ETL systems.
  • Strong programming skills in Java for backend services and Python for data processing workflows.
  • Experience working with containerized applications and orchestration platforms such as Amazon ECS.
  • Familiarity with microservices architectures and backend system design.
  • Experience with event-driven systems and messaging services such as SQS and EventBridge.
  • Advanced SQL skills with experience optimizing analytical queries and data workloads.
  • Knowledge of distributed processing frameworks, including Spark-based solutions.
  • Strong understanding of data modeling, storage strategies, partitioning, and performance optimization across multiple data platforms.
  • Experience with data quality practices, monitoring frameworks, and governance principles is a plus.
  • Familiarity with Apache Airflow or similar orchestration tools is beneficial.
  • Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems, and AWS certifications is considered an advantage.
Benefits:
  • Fully remote work arrangement from a home office in Romania, Poland, or Portugal.
  • Opportunity to collaborate with a diverse international team across multiple regions.
  • Flexible working environment within a distributed engineering organization.
  • The chance to work on impactful, large-scale data platforms and modern cloud technologies.
  • Competitive compensation package based on experience and expertise.
  • Opportunity to contribute to technical strategy and influence architecture decisions.
  • Professional growth opportunities through challenging engineering projects and collaboration with experienced teams.
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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