Current Location: Bellevue, WA ( Onsite all 5 days )
Client: T-Mobile
Job Description:
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
· 3–5 years of 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)
Nice to Have:
· 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
Education:
Bachelor''s degree in Computer Science, Engineering, or a related field — or equivalent experience.
Never miss an opportunity! Create an alert based on the job you applied for.
