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Remote Amazon Data Engineer Jobs in Missouri (NOW HIRING)

Olsson

Licensed Civil Engineer - Data Center

Raytown, MO · On-site +1

$88K - $116K/yr

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

Olsson

Senior Civil Engineer - Data Center

Kansas City, MO · On-site +1

$113K - $140K/yr

As a Senior Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... fully remote in various locations of the US. This role includes flexible work options to ...

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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 job categories do people searching Remote Amazon Data Engineer jobs in Missouri look for? The top searched job categories for Remote Amazon Data Engineer jobs in Missouri 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:
Remote Amazon Data Engineer jobs near you

Senior Sales Engineer - Data & AI Security

Veeam Software

Saint Louis, MO • Remote

Other

Re-posted 13 days ago

Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. 


You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients.

You're already a technical leader trusted at executive levels when the conversation shifts from "we need to secure our data" to "we need to enable safe, compliant AI at scale." 

You're already an expert on data/AI security and a proven enterprise sales engineer. Now it's time to join the home of Data and AI Trust. 

You've already seen our new release of Agent Commander, but you haven't seen what's coming next. After the acquisition of Securiti AI, Veeam is even further into the forefront of data resilience, protection, trust, and the acceleration of safe AI at scale.

Are you ready for an exciting new challenge at enterprise scale?

What You'll Do: 

  • Act as the primary technical contact for Securiti AI solutions during the sales cycleServe as the primary technical data protection expert for Securiti AI and Veeam solutions throughout the pre-sales cycle.
  • Lead discovery to translate risk, architecture, and business goals into a practical solution approach.
  • Design and deliver tailored demos and hands-on proof-of-concepts that prove value in the customer's environment.
  • Drive technical conversations on AI Trust, Data Discovery, DSPM, Data Access & Governance, and Compliance (including GDPR, HIPAA, PCI-DSS).
  • Provide solution guidance across AWS, Azure, and GCP, including cloud security best practices and identity/access concepts.
  • Partner cross-functionally with sales, product, engineering, and customer success to ensure clean technical handoff and customer confidence post-sale.
  • Hone your professional development through hands-on experimentation, team collaboration, robust onboarding, and more.
  • Work ~80% remote, with client-facing travel usually 1-2 short trips per month.

What You'll Bring (required): 

  • Extensive enterprise sales experience in data protection, cloud security, networks, and AI.
  • Proven ability to quickly develop trust and credibility with both technical and business stakeholders.
  • Strong technical leadership foundation in enterprise data protection, cloud security, networks, and AI.
  • Hands-on experience with AWS, Azure, or GCP (multi-cloud exposure strongly valued).
  • Deep working knowledge of data privacy/security and compliance programs, especially GDPR, HIPAA, and PCI-DSS, plus data governance and access controls.
  • Ability to build and run compelling demos and POCs while earning trust as a customer-facing technical lead.
  • Practical technical fluency with areas such as Linux, Kubernetes/containerized environments, and modern cloud/data architectures.
  • Strong expertise with DSPM, DLP, data discovery approaches (e.g., patterns/keywords/dictionaries/regex/exact matching) and with common cloud/data systems (e.g., object storage and enterprise databases/warehouses).

Preferred (strong differentiators): 

  • Experience applying or discussing GenAI security in real enterprise contexts, including RAG (Retrieval-Augmented Generation) concepts and vector databases / indexing approaches.
  • Exposure to CASB / SASE / DLP technologies and how customers operationalize them.
  • Relevant certifications (CISSP, CISM, AWS/Azure/GCP).

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