Database Engineer
Job Description
Requirement Details:
Job Title: Data Engineer & Database Administrator III
Client: Denali Advanced Integrations
Req Code: 73700
Position Type: Full-Time
Location: Bellevue, WA 98004
Pay Range: $120,640 – $140,000
Positions Available: 1
Only – GC and USC works
Requirement Details:
Job Title: Data Engineer & Database Administrator II
Client: Denali Advanced Integrations
Req Code: 73631
Position Type: Full-Time
Location: Bellevue, WA 98004
Pay Range: $99,840 – $114,400
Positions Available: 1
Only – GC and USC works
Job Overview:
Data Engineer & Database Administrator III will be responsible for designing, building, and maintaining scalable data pipelines while ensuring high-performance, secure, and reliable database systems. This role combines data engineering and database administration expertise, supporting analytics, engineering, and product teams with clean, timely, and well-structured data. The position also includes technical leadership responsibilities, including mentoring junior engineers and driving data architecture decisions.
Required Qualifications: For Level III
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- 5–8 years of experience in data engineering or database administration
- Strong hands-on experience with PostgreSQL, MongoDB, and Amazon Redshift
- Solid SQL expertise for both transactional and analytical workloads
- Experience with AWS data services (S3, Glue, Lambda, RDS, Redshift)
- Strong understanding of database performance tuning and optimization
Required Qualifications: For Level II
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- 3–5 years of experience in Data Engineering, Database Administration, or related roles
- Strong experience with PostgreSQL, MongoDB, and Amazon Redshift
- Solid SQL skills for transactional and analytical workloads
- Hands-on experience with AWS data and database services
- Experience with ETL/ELT pipeline development and workflow orchestration tools
Technical Skills:
- Databases: PostgreSQL, MongoDB, Amazon Redshift
- SQL (advanced querying, tuning, optimization)
- AWS Data Stack: S3, Glue, Lambda, Step Functions, Kinesis, RDS
- Programming/Scripting: Python or similar
- Workflow orchestration: Airflow, Step Functions
- Database administration: replication, sharding, indexing, backups, clustering
- Monitoring tools: CloudWatch, pgBadger, MongoDB Atlas
- Data pipeline development (ETL/ELT)
Preferred / Nice to Have:
- Kafka or Kinesis streaming experience
- dbt (data build tool) experience
- Data lake / lakehouse (Delta Lake, AWS Lake Formation)
- Terraform or CloudFormation
- CI/CD for data pipelines
- Basic DevOps experience