Sr. Databricks Data Engineer, Onsite, AVP

State Street; Quincy (CA); On-site; USD 90,000 - 158,000; Full time

Job summary

State Street is seeking a Sr. Databricks Data Engineer to design and deploy high-throughput data pipelines on Databricks. You will build end-to-end data ingestion (streaming, events, batch) and drive scalable ETL on Azure/AWS cloud platforms, while optimizing performance and leading SDLC activities.

Ideal candidates have 7+ years in IT and 3+ years with Databricks SQL & Scala/PySpark, plus strong collaboration and communication skills to work with global teams.

Qualifications

• Bachelor's Degree in a computer or IT related subject.
• 7+ years of overall IT experience.
• 5+ years of Data Engineering experience handling large datasets.
• 3+ years of Databricks hands-on experience using SQL & Scala/PySpark.
• 3+ years of experience on cloud-based development using Azure/AWS.

Responsibilities

• Design, develop, and deploy high throughput data pipelines using DataBricks.
• Build end-to-end data ingestion pipelines (streaming, events, batch) and data curation.
• Optimize Databricks job performance, including query optimization and scaling.
• Address data issues, environment issues, performing impact analysis, root cause analysis.
• Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation.

Skills

Databricks SQL

Scala/PySpark

Data pipelines

Azure services

DevOps troubleshooting

Problem solving

Communication

Education

Bachelor's Degree in Computer/IT

Tools

Azure

AWS

Databricks

Job description

Who we are looking for

We are looking for a Sr. Databricks Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services

What you will be responsible for

As Sr. Databricks Data Engineer you will

• Design & develop custom high throughput and configurable data pipelines using DataBricks.
• Ability to drive change through collaboration, influence and demonstration of POCs
• Design, build and test end to end data ingestion pipelines (streaming, events, and batch), data integration, data curation.
• Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.
• Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies
• Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance
• Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation

What we value

These skills will help you succeed in this role

• Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline.
• Strong hand-on experience in troubleshooting DevOps pipelines and Azure services
• Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks.
• Experience with Micro Services - API/Event Driven Architecture/Development
• Strong hands-on experience in troubleshooting DevOps pipelines and Azure services
• Strong critical thinking, communication, and problem-solving skills.

Education & Preferred Qualifications

• Bachelor’s Degree level qualification in a computer or IT related subject.
• 7+ years of overall IT experience.
• 5+ years of Data Engineering experience handling large datasets.
• 3+ years of Databricks hands-on experience using SQL & Scala/PySpark.
• 3+ years of experience on cloud-based development using Azure/AWS.

Additional requirements

• Communicate effectively in a professional manner both written and orally
• Team player with a positive attitude, enthusiasm, initiative and self-motivation
• Experience of working in the financial industry
• Experience in collaborating with team members, users and stakeholders across geographical locations.
• Ability to multi-task, meet aggressive timelines and have strong work ethics
• Experience with agile development methodology

Work Requirement

• Onsite 4 days a week in office and one day remote
• Standard business hours aligned to project and stakeholder needs(8am to 5pm)

Salary Range:

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.