Senior Data

At Personal Development School we are dedicated to helping individuals unlock their fullest potential through transformative learning experiences. Our programs empower students to grow personally and professionally in a supportive, innovative, and fully remote environment.

We are hiring a Senior Data & Analytics Engineer to lead our data infrastructure, build high-quality pipelines, and deliver actionable insights that support key business decisions. This role combines advanced data engineering with strong analytical skills and will partner closely with cross-functional teams across the organization.

Responsibilities

• Partner cross-functionally with business stakeholders, IT, analysts, and data science teams to gather requirements and translate them into scalable data solutions.
• Design, build, deploy, and support high-performance data pipelines for both inbound and outbound data flows across cloud environments.
• Model and enhance the data platform, applying business logic to create and maintain objects in the semantic layer to enable self-service analytics.
• Optimize data pipelines for performance, scalability, cost efficiency, and reliability using best-in-class engineering practices.
• Implement and maintain CI/CD pipelines to ensure automated, secure, and seamless deployment of data products and workflows.
• Ensure data quality by defining and monitoring critical data elements, developing remediation plans, and collaborating with system and business owners to resolve issues at the source.
• Document technical architecture, design decisions, data flows, and support strategies to ensure long-term maintainability and operational readiness.
• Capture, maintain, and socialize data lineage and operational metadata to improve transparency, governance, and trust in the data ecosystem.
• Troubleshoot and resolve data engineering incidents, ensuring timely root-cause analysis and permanent fixes.
• Develop and maintain RESTful APIs to securely expose curated datasets and services to internal teams and downstream applications.
• Mentor and guide junior engineers, providing technical leadership, code reviews, and best-practice coaching.
• Perform additional duties as assigned based on evolving business and technology needs.
• Adhere to organizational policies, security standards, and compliance requirements across all development and operational activities.

Qualifications Required:

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
• 6+ years of experience designing and delivering data engineering solutions across data platforms, ingestion pipelines, data management, and analytics delivery.
• 2+ years of hands-on experience in Google Cloud Platform (GCP), including services such as BigQuery, Cloud Composer, Cloud Storage (GCS), DataStream, and Dataflow.
• Advanced proficiency in SQL and Python, with the ability to write optimized, maintainable, and scalable code.
• Experience building and orchestrating workflows using Airflow/Cloud Composer, including custom operators for extraction, ingestion, and integration.
• Proven ability in query performance tuning and optimization for large-scale datasets.
• Experience with real-time data ingestion and streaming technologies such as Pub/Sub, Kafka, or Spark.
• Demonstrated success delivering incremental and production-ready data executions, including versioning and controlled rollouts.
• Strong analytical, organizational, and prioritization skills with the ability to evaluate and address complex data challenges.
• Experience working in an agile development environment with iterative delivery and cross-functional collaboration.

Success in This Role Looks Like

• Delivering a reliable, scalable, well-documented data ecosystem.
• Improving data accessibility and reporting for the entire organization.
• Producing insights that directly influence strategy, product direction, and revenue outcomes.
• Empowering teams with automated dashboards and analytics tools.
• Driving measurable impact through thoughtful, data-driven initiatives.

What We Offer

• Performance-based bonuses.
• Flexible working hours with fully remote work.
• Professional development opportunities, including access to personal development courses.
• Collaborative and supportive team environment.
• Health Insurance

Job Type: Full-time

Pay: $115,000.00-$120,000.00 per year

Benefits:

• Dental care
• Life insurance
• Paid time off
• Work from home

Experience:

• Data Engineering: 6 years (required)
• Data analytics: 6 years (required)

Work Location: Remote