Echelix

Senior Data Engineer

Posted 4 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