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Remote Sql Data Engineer Jobs in Alton, IL (NOW HIRING)

Teradata DBA Location: St Louis, MO - Remote Duration: 4+ Months Contract Qualifications and ... Optimizing developer, as well as, customer SQL. Design, model, configure, test, and install ...

Azure Architect

Saint Louis, MO · Remote

$61.75 - $80.50/hr

... roles, SQL Azure database, storage, service bus, WebJobs, cloud services, Remote Apps etc ... Microsoft certified Azure certifications (preferred) Experience in Azure automation and DevOps ...

Java/Angular Developer

Saint Louis, MO · On-site +1

$49.50 - $64.25/hr

... and data architects, business analysts and other related teams. A role in this fast paced ... Oracle SQL, Toad * Apache Web Server/Tomcat * Web Services, SOAP/REST * JBoss application server

Data Science Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

ENGR SR SOFTWARE DEVT

Saint Louis, MO · Remote

$119K - $157K/yr

Senior Software Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

ENGR SR SOFTWARE DEVT

Saint Louis, MO · Remote

$119K - $157K/yr

Senior Software Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

Showing results 41-60

Remote Sql Data Engineer information

See Alton, IL salary details

$42.8K

$124.7K

$170.7K

How much do remote sql data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote sql data engineer in Alton, IL is $124,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What does a remote SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.

What are the key skills and qualifications needed to thrive as a remote SQL data engineer?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

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

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What cities near Alton, IL are hiring for Remote Sql Data Engineer jobs?

Cities near Alton, IL with the most Remote Sql Data Engineer job openings:

Infographic showing various Remote Sql Data Engineer job openings in Alton, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $124,737 per year, or $60 per hour.

Senior Sales Engineer - Data & AI Security

Veeam Software

Saint Louis, MO • Remote

Full-time

Re-posted 10 days ago


Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

38th of 247 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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