Data Engineer-Data Platforms-Google - 4

International Business Machines Corporation; Boston (MA); Hybrid; USD 215,000 - 253,000; Full time

Benefits offered by this job

Healthcare benefits

401(k)

Stock Purchase Plan

Paid time off

Career development

Job summary

IBM Consulting seeks a Data Engineer specializing in Google data platforms to design, build, and maintain data pipelines on Google's Cloud ecosystem. You will leverage DataProc, DataFlow, Pub/Sub and BigQuery to deliver batch and real-time data solutions, while ensuring high data quality and scalable architectures.

This role supports remote work within the United States and offers opportunities to work with diverse clients, shaping hybrid cloud and AI journeys across industries.

Qualifications

• Bachelor's degree required.
• Experience with Google Cloud data platforms and data pipelines.
• Familiarity with open source data tooling and Apache Airflow.

Responsibilities

• Design data pipelines using Google Cloud services to meet business needs.
• Develop and maintain data engineering solutions on Google Cloud.
• Manage data platforms with Cloud Scheduler and Cloud Composer for reliable pipelines.
• Ensure data quality for data warehouse and data lake.
• Collaborate with stakeholders to optimize data solutions.

Skills

Google Cloud

Data pipelines

Open source

Airflow

BigQuery

Education

Bachelor's Degree

Tools

DataProc

DataFlow

PubSub

BigQuery

BigTable

CloudSpanner

CloudSQL

AlloyDB

Apache Beam

Spark

Hadoop

Airflow

dbt

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. You will utilize various Google services to develop batch and real-time data pipelines, manage data migration, and design data layers.

Your primary responsibilities will include:

• Design Data Pipelines: Design and build data pipelines using Google DataProc, DataFlow, PubSub, BigQuery, and other Google services to meet business requirements.
• Develop Data Engineering Solutions: Utilize Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, and Google DataFlow with Apache Beam or Python to develop and manage data engineering solutions.
• Manage Data Platforms: Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow) to ensure seamless data pipeline operations.
• Ensure Data Quality: Develop and manage batch and real-time data pipelines for Data Warehouse and Datalake to ensure high-quality data delivery.
• Optimize Data Solutions: Collaborate with stakeholders to optimize data solutions and ensure alignment with business objectives.

This position 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: Experience with 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 in developing and managing batch and real-time data pipelines for Data Warehouse and Datalake using Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, and Google DataFlow with Apache Beam or Python.
• Open Source Technologies: Experience with open source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala in data engineering solutions.
• Data Platform Management: Experience in scheduling and managing the data platform using Google Cloud Scheduler and Cloud Composer (Airflow) to ensure seamless data pipeline operations.
• Data Engineering Tools: Experience with utilizing various data engineering tools and technologies to develop and manage data engineering solutions on Google's Cloud ecosystem.

Preferred technical and professional experience

• Open Source Proficiency: Experience with open source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala in data engineering solutions, enabling the development of efficient data pipelines and scalable data architectures.
• Advanced Data Engineering: Experience with utilizing various data engineering tools and technologies to develop and manage data engineering solutions on Google's Cloud ecosystem, ensuring seamless integration and data flow.
• Data Platform Optimization: Experience in optimizing data solutions and ensuring alignment with business objectives, collaborating with stakeholders to drive business outcomes through data-driven insights.

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.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

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.

Job Title

Date posted

06-Oct-2026

Job ID

134982

City / Township / Village

State / Province

New York, California

Country

United States

Work arrangement

Hybrid

Area of work

Software Engineering

Employment type

Regular

Contract type

Regular

Projected Minimum Salary per year

215,000.00

Projected Maximum Salary per year

253,000.00

Position type

Professional

Up to 80% or 4 days a week (home on weekends - based on project requirements)

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?