Data Engineer-Data Platforms-Google - 5

IBM

Boston (MA)

Remote

USD 131,000 - 154,000

Full time

41 hours ago

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Job summary

IBM Consulting is seeking a Data Engineer specializing in Google's data platforms to design, build, and maintain data pipelines on Google's Cloud ecosystem. You will implement batch and real-time data flows, migrate data between systems, and optimize the data layer for efficient storage and retrieval.

The role emphasizes hands-on work with DataProc, DataFlow, PubSub, BigQuery, BigTable, Cloud Spanner, Cloud Scheduler, and Cloud Composer, enabling scalable data solutions for clients across

Qualifications

Exposure to designing, building, and maintaining data engineering solutions on Google's Cloud ecosystem.

Responsibilities

Design batch and real-time data pipelines for Data Warehouse and Datalake using Google services (DataProc, DataFlow, PubSub, BigQuery, BigTable).
Develop data engineering solutions using Google Cloud Storage, BigTable, BigQuery DataProc with Spark/Hadoop, and DataFlow with Apache Beam or Python.
Schedule and manage the data platform with Cloud Scheduler and Cloud Composer (Airflow).
Develop and implement data migration solutions using Google services.
Design and optimize the data layer using BigQuery, BigTable, and Cloud Spanner for efficient storage and retrieval.

Skills

Google Cloud ecosystem

Data pipeline development

Google Cloud services

Data platform management

Data layer design

Education

Bachelor's Degree

Tools

Google DataProc

DataFlow

Pub/Sub

BigQuery

BigTable

Cloud Spanner

CloudSQL

AlloyDB

Apache Airflow

dbt

Spark

Hadoop

Job description

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Data Engineer specializing in Google's data platforms, you will design, build, and maintain data engineering solutions on Google's Cloud ecosystem. This role requires expertise in utilizing various Google services for batch and real-time data pipelines, data migration, and data layer design.

Your primary responsibilities will include:

Design Data Pipelines: Design and develop batch and real-time data pipelines for Data Warehouse and Datalake using Google services such as DataProc, DataFlow, PubSub, BigQuery, and Big Table.
Develop Data Engineering Solutions: Utilize Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, and Google DataFlow with Apache Beam or Python to build and maintain data engineering solutions.
Manage Data Platforms: Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow), ensuring efficient data pipeline operations.
Implement Data Migration: Develop and implement data migration solutions using Google services, ensuring seamless data transfer between systems.
Optimize Data Layer: Design and optimize the data layer using Google services such as BigQuery, Big Table, and Cloud Spanner, ensuring efficient data storage and retrieval.

This role can be performed from anywhere in the United States of America

Required education

Bachelor's Degree

Required technical and professional expertise

Google Cloud Ecosystem Expertise: Exposure to designing, building, and maintaining data engineering solutions on Google's Cloud ecosystem, including services such as Google DataProc, DataFlow, PubSub, BigQuery, Big Table, Cloud Spanner, CloudSQL, and AlloyDB.
Data Pipeline Development Experience: Exposure to developing and managing batch and real-time data pipelines for Data Warehouse and Datalake using Google services and open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala.
Google Cloud Services Proficiency: Experience working with Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, and Google DataFlow with Apache Beam or Python to build and maintain data engineering solutions.
Data Platform Management Knowledge: Exposure to scheduling and managing the data platform using Google Cloud Scheduler and Cloud Composer (Airflow) for efficient data pipeline operations.
Data Layer Design Understanding: Experience working with data layer design using Google services such as BigQuery, Big Table, and Cloud Spanner for efficient data storage and retrieval.

Preferred technical and professional experience

Open Source Technologies: Exposure to utilizing open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala for developing and managing batch and real-time data pipelines.
Data Migration Solutions: Experience working with Google services to develop and implement data migration solutions, ensuring seamless data transfer between systems.
Cloud Composer Expertise: Exposure to using Cloud Composer (Airflow) for scheduling and managing the data platform, ensuring efficient data pipeline operations.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can‑do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

City / Township / Village

State / Province

New York, California

Country

United States

Work arrangement

Hybrid

Area of work

Infrastructure & Technology

Employment type

Regular

Contract type