Role Overview
Research Pandit is hiring a mid-level Data Engineer- Google Cloud Platform. This is a full-time role in CA. Part of Research Pandit's Qa hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Data Engineer
Google Cloud Platform (GCP)
Apache Airflow, Spark, Python, Scala
Infrastructure as Code (IaC) tools such as Terraform or Ansible
Experience building Customer Data Platforms (CDPs)
Experience with AI-assisted developer tools - IntelliJ plug-ins using OpenAI or Anthropic models, Codex CLI, Windsurf.
Experience – 5 yrs
Canada Remote
Full time requirement
Role Overview:
We’re looking for a skilled Data Engineer to design, build, and optimize scalable, cloud-native data pipelines on Google Cloud Platform (GCP). The role involves extensive work with Apache Airflow, Spark, Python, and Scala to develop high-performance data solutions supporting analytics, streaming, and generative AI initiatives.
Key Responsibilities:
● Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.
● Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).
● Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).
● Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.
● Apply modern Test Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.
● Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.
● Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies
● Optimize data performance, scalability, and cost efficiency across GCP components.
● Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.
● Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.
● Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products
Required Qualifications:
● Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
● 5+ years of hands-on experience with large-scale data engineering in cloud environments.
● Advanced skills using Python, Scala, Spark ecosystem, SQL to build data pipelines
● Strong GCP expertise (BigQuery, Bigtable, Dataproc, Pub/Sub, IAM, VPC).
● Proficiency in SQL/NoSQL modeling and data architecture for cloud data lakes.
● Familiarity with streaming frameworks (Kafka, Flume).
● Experience handling sensitive data and ensuring regulatory compliance.
● Working knowledge of Docker, CI/CD, and modern DevOps practices for data platforms.
Preferred Qualifications
● Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
● Contributions to open-source projects or internal developer tooling.
● Prior experience building Customer Data Platforms (CDPs) inhouse
● Experience with AI-assisted developer tools (for example, IntelliJ plug-ins using OpenAI or Anthropic models), Codex CLI, Windsurf.
Job Type: Full-time
Pay: $70,503.61-$150,613.77 per year
Work Location: Remote
Frequently Asked Questions
How do I apply for the Data Engineer- Google Cloud Platform position at Research Pandit?
Use the Apply button above to submit your application directly to Research Pandit. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Engineer- Google Cloud Platform position at Research Pandit located?
This position is based in CA. Research Pandit has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Engineer- Google Cloud Platform at Research Pandit earn?
Research Pandit has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Engineer- Google Cloud Platform role at Research Pandit posted?
This role was posted on April 7, 2026 (61 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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