Data Engineer (Mid )

Overview

We are seeking Data Engineers at multiple levels (Senior, Mid, and Associate) to design, build, and optimize scalable data platforms and pipelines within a modern cloud-based environment. This role will partner closely with business stakeholders, data science, analytics, and engineering teams to deliver high-quality, reliable data solutions.

Key Responsibilities

• Partner with business, IT, analytics, and data science teams to gather and translate requirements into scalable data solutions
• Design, develop, deploy, and support high-performance data pipelines (batch and real-time)
• Build and maintain data models and semantic layers aligned with business logic
• Optimize pipelines for performance, scalability, and reliability
• Implement and maintain CI/CD pipelines for data products
• Ensure data quality by identifying issues, creating remediation plans, and addressing root causes
• Document pipeline architecture, design, and support processes
• Capture and maintain data lineage and metadata
• Troubleshoot and resolve data engineering issues in production environments
• Develop REST APIs to expose data for internal consumers

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 2+ years of hands-on experience with Google Cloud Platform (GCP), including:
  • BigQuery (critical requirement)
  • Composer (Airflow)
  • Google Cloud Storage (GCS)
  • Dataflow / Datastream

Technical Skills (Must-Have)

• Advanced SQL (top priority)
• Strong experience with BigQuery (required; no exceptions)
• Solid Data Engineering Fundamentals
• Data pipelines
• Data warehousing
• Experience with Python
• Workflow orchestration using Airflow / Composer

Experience With Real-time Data Ingestion Tools Such As

• Pub/Sub, Kafka, Spark, or similar

• Familiarity with cloud-native tools (e.g., Cloud Functions or equivalents)

Preferred Qualifications

• Master’s degree in a related technical field
• Experience working in AWS or Azure environments (in addition to GCP)
• Experience with CI/CD implementation for data pipelines
• Strong experience with the Apache ecosystem

Soft Skills (Highly Important)

• Strong communication skills with both technical and non-technical stakeholders
• Ability To Collaborate Across
  • Data Science
  • Reporting/Analytics teams
  • Product and Engineering
  • Business stakeholders (e.g., marketing, enrollment)
• Excellent problem-solving, analytical thinking, and prioritization skills
• Experience working in Agile environments
• Proven ability to deliver incrementally and support production systems

Hiring Structure

• 2 roles: Contract-to-Hire (priority)

Key Takeaways

• GCP environment with a strong emphasis on BigQuery and SQL
• Hands-on Data Engineering Experience Is Essential
• Strong communication skills are a major differentiator
• Onsite requirement is mandatory (4 days/week)