Senior Data Engineer (Redshift)

About This Opportunity

We are representing a confidential wellness technology organization in their search for a Senior Data Engineer with deep Redshift expertise. This is a fully remote role open to candidates anywhere in the world.

Our client serves over 25 million users globally through mobile wellness applications. As a Senior Data Engineer, you'll build and maintain the data infrastructure that powers insights, product features, and data-driven decisions across the organization. You'll work within a distributed team alongside data engineers, analysts, and product managers to create robust, scalable data pipelines and models.

Responsibilities

• Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices to ensure efficient data flow for analytics and insights
• Design and implement effective data models using dbt that support business needs and enable high-quality reporting and downstream analytics
• Collaborate with data analysts, product managers, and engineers to understand data requirements and deliver solutions that meet business needs
• Develop and apply data quality checks, validation frameworks, and monitoring to ensure consistency, accuracy, and reliability of data
• Identify and address performance issues in pipelines, queries, and data storage; implement optimizations that enhance speed and reliability
• Follow data security best practices and ensure pipelines meet data privacy and compliance standards
• Test new tools and approaches by building Proof of Concepts and conducting performance benchmarks
• Contribute to robust CI/CD pipelines (GitLab CI) for data workflows, supporting automated testing and deployment

What We're Looking For

Required Skills and Experience:

• 4+ years of experience in data engineering or backend development, with strong focus on building production-grade data pipelines
• 2-3+ years of hands-on experience with AWS services; Redshift administration is essential
• Solid working knowledge of AWS Spectrum, S3, RDS, Glue, Lambda, Kinesis, and SQS
• Proficiency in Python and SQL for data transformation and automation
• Experience with dbt for data modeling and transformation
• Good understanding of streaming architectures and micro-batching for real-time data needs
• Experience with CI/CD pipelines for data workflows, preferably GitLab CI
• Familiarity with event schema validation tools and solutions such as Snowplow or Schema Registry
• Excellent communication and collaboration skills for working with distributed teams
• Strong problem-solving abilities and a growth mindset

Bonus Qualifications:

• Experience with additional AWS services including EMR, EKS, Athena, or EC2
• Hands-on knowledge of alternative data warehouses like Snowflake
• Experience with PySpark for big data processing
• Familiarity with event data collection tools such as Snowplow or Rudderstack
• Exposure to customer data platforms and real-time data workflows
• Infrastructure-as-code experience with Terraform

Technology Stack:

• Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)
• Languages: Python, SQL
• Orchestration: Airflow (MWAA)
• Modeling: dbt
• CI/CD: GitLab CI
• Monitoring: Datadog, Grafana, Graylog
• Event validation: Iglu schema registry

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to assess fit and discuss your background. Qualified candidates will then be submitted to our client for consideration. The client's interview process typically includes a technical discussion with the hiring manager followed by meetings with future stakeholders.

Please do not attempt to contact the client directly. All communication and coordination will be managed through our talent team at Get A Job.ai to ensure a smooth and professional process for all parties.

Pay

Compensation details will be discussed during the screening process based on experience and location.

Equal Opportunity: Get A Job.ai is committed to fair and equitable recruiting practices. We welcome applications from candidates of all backgrounds and work to ensure an inclusive hiring process.