Urgent | TWK_3222 Sr Data Engineer & DBA | Bellevue WA#Onsite & Inperson Interview | Locals only | NO OPT / GC

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May 4, 2026, 10:05:33 AM (3 days ago) May 4

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Requirement details:

Internal JobID: TWK_3222

Title:SR.Data Engineer & DBA

Location: Bellevue WA# Onsite (All 5 days working from Client office, NO Hybrid, NO Remote)

Client: Wil disclose after submission

Interview Mode: In Person

Experience: 10-12 YEARS

NO OPT / GC Profiles

Locals ONLY

Job Description:

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.

Responsibilities:

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

Core Skills & Experience

9 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)