Database Engineer - REMOTE

If you’re passionate about designing scalable systems, solving complex data challenges, and redefining how teams build with intelligent tools, this is your opportunity to shape the future of our client’s platform in this full-time, REMOTE Database Engineer/Architect role and the timing couldn’t be better to join the team! Familiarity with AWS data platform services across relational (RDS, Aurora), non-relational (DynamoDB, ElastiCache, Neptune), warehousing (Redshift), data lake (S3, Glue, Athena, Lake Formation), and pipeline tooling (Kinesis, Glue ETL, or equivalent).

If you’re passionate about designing scalable systems, solving complex data challenges, and redefining how teams build with intelligent tools, this is your opportunity to shape the future of our client’s platform in this full-time, REMOTE Database Engineer/Architect role and the timing couldn’t be better to join the team!




Company Information:

• Been in business almost 50 years
• Seeing year over year growth
• REMOTE role - Prefer Pacific/Mountain or Central Time zones (Select States)
• Great benefits: 401K with 6% match, Flex PTO, medical, dental, vision, life, and more!
• Been recognized as a Great Place to Work
• AI-Forward Company
• Great Culture and Leadership

 

Salary 140K-165K+ depending on experience




Background Profile:

• Bachelor's Degree not required but preferred, especially in computer science or a related field.
• Relevant certifications (e.g., Microsoft SQL Server, AWS Database Specialty, AWS Data Analytics Specialty) are a plus
• 4+ years of hands-on database engineering/administration experience, with demonstrated depth not just tenure.
• Experience with data quality practices and tooling — validation, lineage, governance, and anomaly detection.
• Strong proficiency with Microsoft SQL Server and T-SQL; familiarity with MongoDB and/or other non-relational systems
• Working knowledge of non-relational database paradigms — document, key-value, wide-column, graph — and a track record of knowing which fits which problem.
• Hands-on experience with one or more of DynamoDB, MongoDB, Redis, Cassandra, or Neptune is a plus.
• Familiarity with AWS data platform services across relational (RDS, Aurora), non-relational (DynamoDB, ElastiCache, Neptune), warehousing (Redshift), data lake (S3, Glue, Athena, Lake Formation), and pipeline tooling (Kinesis, Glue ETL, or equivalent).
• Demonstrated, hands-on use of AI tools in day-to-day technical work — and ideally an understanding of the data infrastructure behind AI features (vector databases, RAG, embeddings).
• Experience with data modeling, query optimization, indexing/partitioning, high availability, and backup/disaster recovery.
• Familiarity with scripting (PowerShell, Python, or Bash) and monitoring/observability tooling.
• Prior lead or management experience is a meaningful bonus.
• Must have exemplary communication skills
• Must be a US citizen or Green Card holder to be considered as no sponsorship available for role.