Senior Data Engineer

Posted 26 Days Ago
85201, Downtown Mesa, Mesa, AZ, United States
Hybrid
120K-160K Annually
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
Leads the design and management of scalable cloud database infrastructure across AWS and Azure. Responsibilities include PostgreSQL and SQL Server administration, GraphQL and Hasura API development, cloud migrations, CI/CD automation, infrastructure as code, performance monitoring, security, compliance, data modeling, and mentoring engineers. The role also supports data access layers for AI and application workloads.
Summary Generated by Built In

About This Role

We are seeking a Senior Data Engineer to lead the design of scalable, secure, and high-performance data infrastructure across cloud platforms. This role is ideal for database professionals who have evolved beyond traditional DBA work into cloud-native architectures, API-driven data access layers, and modern DevOps practices. You'll work with cutting-edge technologies like GraphQL, Hasura, and managed cloud databases while mentoring engineers on data architecture best practices.

What You'll Do

  • Design, tune, and manage PostgreSQL, SQL Server, and cloud-managed databases (AWS RDS/Aurora, Azure SQL Database/Cosmos DB)
  • Architect and implement GraphQL APIs using Hasura or equivalent technologies for real-time data access
  • Lead cloud database migrations and deployments across AWS and Azure environments
  • Automate database CI/CD pipelines using tools like GitHub Actions, Azure DevOps, or AWS Code Pipeline
  • Develop and maintain data access layers and APIs that integrate with AI and application workloads
  • Monitor, secure, and optimize database performance using cloud-native tools (AWS CloudWatch, Azure Monitor, Datadog)
  • Implement database security best practices including encryption, access controls, and compliance requirements
  • Mentor engineers on database design, data modeling, and architecture best practices

What You'll Bring

  • 5+ years of experience designing and managing production database systems
  • Deep expertise in PostgreSQL and SQL Server, including performance tuning and query optimization
  • Hands-on experience with cloud database services (AWS RDS, Aurora, Azure SQL Database, Azure Cosmos DB)
  • Experience with GraphQL and API development, preferably with Hasura or similar platforms
  • Strong background in database CI/CD automation and Infrastructure as Code (Terraform, CloudFormation, Bicep)
  • Proficiency in scripting languages (Python, Bash) for automation and tooling
  • Solid understanding of data modeling, schema design, and database normalization
  • Strong communication and mentoring skills
  • Must be authorized to work in the United States without sponsorship

Nice to Have

  • Experience with NoSQL databases (MongoDB, DynamoDB, Redis)
  • Knowledge of data streaming platforms (Kafka, AWS Kinesis, Azure Event Hubs)
  • Experience with data warehousing solutions (Snowflake, Redshift, Azure Synapse)
  • Background in AI/ML data pipelines and feature stores
  • Relevant certifications (AWS Database Specialty, Azure Database Administrator, PostgreSQL Professional)

What We Offer

  • Competitive salary
  • Unlimited PTO policy
  • Health, dental, and vision insurance

Skills Required

  • 5+ years designing and managing production database systems
  • Deep expertise in PostgreSQL and SQL Server, including performance tuning and query optimization
  • Hands-on experience with AWS RDS, Aurora, Azure SQL Database, and Azure Cosmos DB
  • Experience with GraphQL and API development, preferably Hasura or similar platforms
  • Experience with database CI/CD automation and Infrastructure as Code using Terraform, CloudFormation, or Bicep
  • Proficiency in Python and Bash for automation and tooling
  • Understanding of data modeling, schema design, and database normalization
  • Strong communication and mentoring skills
  • Authorization to work in the United States without sponsorship
  • Experience with MongoDB, DynamoDB, or Redis
  • Knowledge of Kafka, AWS Kinesis, or Azure Event Hubs
  • Experience with Snowflake, Redshift, or Azure Synapse
  • Background in AI/ML data pipelines and feature stores
  • AWS Database Specialty, Azure Database Administrator, or PostgreSQL Professional certification
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The Company
40 Employees

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