Data Engineer​/DBA; Client: T-Mobile

Data Engineer / DBA (Client: T-Mobile)

Current

Location:

Bellevue, WA (Onsite all 5 days)

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.

• Design, build and maintain ETL/ELT pipelines across multiple systems
• Design and optimize data models in Postgre
  
  SQL, Mongo
  
  DB, 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 No
  
  SQL systems
• Manage database provisioning, upgrades, backups, and disaster recovery (RDS, Mongo
  
  DB, 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

• 3-5 years of experience in data engineering, database administration, or similar roles
• Strong experience with Postgre
  
  SQL, Mongo
  
  DB, 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:
• Mongo
  
  DB (replica sets, sharding, indexing, backups)
• Redshift (cluster management, query tuning, WLM, snapshots)
• Postgre
  
  SQL (replication, performance tuning, connection pooling)
• Familiarity with monitoring tools (Cloud Watch, pg Badger, Mongo
  
  DB 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 Cloud Formation
• CI/CD experience for data pipelines
• Basic Dev Ops skills

• 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

Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent experience.