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Data Engineer

Job

Highbrow LLC

Mercer Island, WA (In Person)

Full-Time

Posted 6 days ago (Updated 1 day ago) • Actively hiring

Expires 7/4/2026

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Job Description

Data Engineer at Highbrow LLC Data Engineer at Highbrow LLC in Mercer Island, Washington Posted in 4 days ago.
Type:
full-time
Job Description:
Job Description:
About the
Role:
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
What We're Looking For:
  • Core Skills & Experience
  • 3-5 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) Nice to
Have:
  • Experience with Kafka or Kinesis (streaming data)
  • Familiarity with dbt for data transformation
  • Knowledge of data lake/lakehouse architectures (Delta Lake, AWS Lake Formation)
  • Experience with Terraform or CloudFormation
  • CI/CD experience for data pipelines
  • Basic DevOps skills