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# Data Engineer/Database Administrator_ (Only W2)

- **Company:** Ryzlink Corp.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $83,200.0 - $93,600.0
- **Contract:** Temporary contract
- **Skills:** Query Performance, Airflow, Amazon Web Services, Amazon S3, Backup Devices, Code Review, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Retention, Database Security, Shard (Database Architecture), Disaster Recovery, Document-Oriented Databases, Monitoring of Systems, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Performance Tuning, Query Optimization, Standard Sql, Scripting, Indexer, Cloudwatch, Data Pipelines, Amazon Redshift, Programming Languages
- **Published:** June 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=adac783343467c24

## About the Role

Do you have experience in Programming languages?, * 3-7 years of experience in data engineering, database administration, or similar role

 * 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.)

## 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.

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


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