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
  
  
  

Skills & Attributes:

• 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
  
  
  

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent experience.

  
  

The pay range that the employer in good faith reasonably expects to pay for this position is $40.22/hour - $62.84/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.