Job Description
Database Engineer at netPolarity, Inc. (Saicon Consultants, Inc.) Database Engineer at netPolarity, Inc. (Saicon Consultants, Inc.) in Bellevue, Washington Posted in 1 day ago.
Type:
full-time 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
