Database Administrator and Database Engineer Opportunities

Tech Mirrors; Bellevue (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

Tech Mirrors is seeking a mid-level Data Engineer & Database Administrator to join our data platform team in Bellevue, WA. You will build and maintain scalable data pipelines while ensuring databases are reliable, secure, and high-performing.

You’ll work closely with analysts, engineers, and product teams to deliver clean, timely data and support reporting needs across the organization. This role requires 10+ years’ experience and is onsite for a 6-month engagement.

Qualifications

• Experience in data engineering, database administration, or similar roles.
• Strong experience with PostgreSQL, MongoDB, and Amazon Redshift.
• Solid SQL skills for transactional and analytical workloads.
• Experience with AWS data and database services (S3, Glue, Lambda, RDS, Redshift).
• Proficiency in Python or another scripting language.
• Experience with workflow orchestration tools (Airflow, Step Functions).
• Hands-on database administration: MongoDB, Redshift, PostgreSQL.
• Familiarity with monitoring tools (CloudWatch, pgBadger, MongoDB Atlas).
• Understanding of database security and least-privilege access.
• Experience with Kafka or Kinesis; familiarity with dbt.
• Knowledge of data lake/lakehouse architectures and Terraform/CloudFormation.
• CI/CD experience for data pipelines; basic DevOps skills.

Responsibilities

• Design, build and maintain ETL/ELT pipelines across multiple systems.
• Design and optimize data models in PostgreSQL, MongoDB, and Redshift.
• Develop and manage data workflows using AWS services.
• Administer and maintain database environments across dev, test, and prod.
• Monitor data pipelines and databases, troubleshoot issues, and set up alerts.
• Optimize query performance, indexes, and configurations for relational and NoSQL systems.
• Manage database provisioning, upgrades, backups, and disaster recovery.
• Ensure database security, including access control and encryption.
• Plan capacity and scale systems to meet growing data needs.
• Define and enforce data retention and archival policies.
• Collaborate with analytics and product teams to support reporting needs.
• Document data pipelines and procedures; participate in code reviews and best practices.
• Follow engineering standards and contribute to team knowledge.

Skills

PostgreSQL

MongoDB

Amazon Redshift

SQL

Python

Airflow

Kinesis

dbt

Terraform

CloudFormation

Kafka

Redshift maintenance

Security & encryption

Tools

AWS

pgBadger

Snowflake

CloudWatch

Git

Job description

Database Administrator and Database Engineer Opportunities

Exp: Minimum 10+ Years

Duration: 6 months

Job Location: Bellevue, WA, 98006 – All 5 Days Onsite

Mode of Interview : Video Interview

Visa : USC,H1B,H4EAD

Role Summary

Data Engineer & Database Administrator (Mid-Level, 10+ Years)

About the Role

We’re looking for a mid-level Data Engineer & DBA to join our data platform team. You’ll build and maintain scalable data pipelines while ensuring our databases are reliable, secure, and high-performing. You’ll work closely with analysts, engineers, and product teams to deliver clean and timely data.

What You’ll Do

• Design, build and maintain ETL/ELT pipelines across multiple systems
• Design and optimize data models in PostgreSQL, MongoDB, and Amazon Redshift
• Develop and manage data workflows using AWS (S3, Glue, Lambda, Step Functions, Kinesis)
• Administer and maintain database environments across development, staging, and production
• Monitor data pipelines and databases, troubleshoot issues, and implement alerts
• Optimize query performance, indexes, and configurations across relational and NoSQL systems
• Manage database provisioning, upgrades, backups, and disaster recovery (RDS, MongoDB, Redshift)
• Ensure database security, including access control, encryption, and role management
• Plan capacity and scale systems to support growing data needs
• Define and enforce data retention and archival policies
• Collaborate with analytics and product teams to support reporting and data needs
• Document data pipelines, database processes, and operational procedures
• Participate in code reviews and follow engineering best practices

What We’re Looking For

Core Skills & Experience

• Experience in data engineering, database administration, or similar roles
• Strong experience with PostgreSQL, MongoDB, and Amazon Redshift
• Solid SQL skills for both transactional and analytical workloads
• Experience with AWS data and database services (S3, Glue, Lambda, RDS, Redshift, etc.)
• Proficiency in Python or another scripting language
• Experience with workflow orchestration tools (Airflow, Step Functions, etc.)
• Hands‑on database administration experience, including:
• MongoDB (replica sets, sharding, indexing, backups)
• Redshift (cluster management, query tuning, WLM, snapshots)
• PostgreSQL (replication, performance tuning, connection pooling)
• Familiarity with monitoring tools (CloudWatch, pgBadger, MongoDB Atlas, etc.)
• Understanding of database security (encryption, auditing, least-privilege access)
• Experience with Kafka or Kinesis (streaming data)
• Familiarity with dbt for data transformation
• Knowledge of data lake/lakehouse architectures (Delta Lake, AWS Lake Formation)
• Experience with Terraform or CloudFormation
• CI/CD experience for data pipelines
• Basic DevOps skills

Skills & Attributes

• Strong problem-solving and analytical skills
• Ability to translate business needs into data solutions
• Comfortable working in a fast-paced, collaborative environment
• Clear communicator with both technical and non-technical audiences
• Self-motivated with a focus on clean, maintainable code