Data Engineer & Database Administrator III
3md
Benefits U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company contribution, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 6 scheduled paid holidays. Additionally, eligible hourly/non-exempt and exempt employees accrue up to 112 hours of PTO based on years of service and may annually take up to 8 hours of paid volunteer time. Additional paid sick leave is also provided if required by state or local law. Summary of Position: The Data Engineer & Database Administrator will build and maintain scalable data pipelines while ensuring databases are reliable, secure, and high-performing. This role works closely with analysts, engineers, and product teams to deliver clean and timely data. Essential Functions:
- 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
- Lead and mentor Data Engineers I and II
- Drive architectural decisions and best practices
- Train team members on new tools, technologies, and processes
- Act as a technical lead on cross-functional projects
- 5-8 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)
- Strong problem-solving and analytical skills
- Ability to translate business needs into data solutions
- Comfortable working in a fast-paced, collaborative environment
- Clear communicator with both technical and non-technical audiences
- Self-motivated with a focus on clean, maintainable code
Vacancy posted 3 days ago
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