Database Engineer

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