Senior Data Engineer

Job Description

Hybrid: Reporting to a specific location where work needs to be performed / collaboration should happen (regardless this location is within a hub) and without regard to where a candidate lives (some employees may end up hybrid who live more than 50 miles away but where business needs dictate them to be onsite at a specific location three days per week).

• This role is categorized as hybrid. This means the successful candidate is expected to report to GM Georgia IT Innovation Center or GM Global Technical Center or Austin Innovation Technical Center or Mountain View Technical Center three times per week, at minimum.
• This job is eligible for relocation benefits.

ABOUT THE ROLE:

As a Senior Data Engineer , you will play a critical role in building scalable
data pipelines and industrialized data assets focused on CRM data
integration and optimization to drive sales and marketing strategies
across our automotive business. You will partner with Data Scientists, BI
Developers, and Marketing and Sales Operations teams to deliver data
solutions that enhance customer engagement, improve lead conversion, and
support targeted campaigns. By leveraging Azure Databricks and other
cloud-native technologies , you'll enable advanced analytics on customer
behavior, dealer interactions, vehicle purchase trends, and campaign
performance - all key to shaping the future of automotive retail and
marketing. Are you ready to engineer the data backbone that powers
smarter decisions and better customer experiences?

RESPONSIBILITIES:

• Develop and manage data pipelines on Azure Databricks , integrating data from various sources into a unified, high-performance platform
• Communicate and maintain Master Data, Metadata, Data Management Repositories, Logical Data Models, and Data Standards
• Design and implement large-scale data engineering solutions using Spark on Azure Databricks that meet functional and non- functional business requirements
• Collaborate with stakeholders to identify opportunities for automation and efficiency, including pipeline orchestration and monitoring
• Build industrialized analytic datasets and delivery mechanisms that utilize modern data engineering practices to deliver actionable insights into customer acquisition, operational efficiency, and other key metrics
• Implement and maintain Delta Lake for optimized performance, reliability, and ACID-compliant data storage
• Work closely with business and analytics teams to translate business needs into scalable, production-ready data solutions
• Create highly consistent and accurate analytic datasets suitable for BI tools and machine learning models
• Build and manage CI/CD pipelines for Azure Databricks using tools like GitHub Actions, Azure DevOps, or Jenkins to enable seamless deployment, data model versioning, and infrastructure automation

Additional Job Description

REQUIREMENTS:

• 10+ years of experience in data engineering, building large-scale data platforms
• 5+ Strong hands-on experience with Azure Databricks, Spark
  (PySpark/Scala), and Delta Lake for big data processing
• Proficiency in Python and SQL for data transformation and
  orchestration
• Solid experience with orchestration tools such as Airflow , Databricks
  Workflows , or Azure Data Factory
• Familiarity with CI/CD practices and tools such as GitHub Actions,
  Jenkins, or Azure DevOps
• Experience with Azure ecosystem (e.g., ADLS Gen2, Synapse, Key
  Vault, Azure Functions)
• Strong understanding of DevOps and Infrastructure as Code practices
  (Terraform, ARM templates, etc.)
• Familiarity with streaming technologies like Kafka, Event Hubs, or
  Kinesis is a plus
• Mastery of databases - Advanced SQL and experience with NoSQL
  solutions such as Postgres, Cassandra, or Cosmos DB
• Strong problem-solving skills and ability to work in an agile, fast-paced
  environment
• Ability to identify automation opportunities and implement robust,
  reusable solutions
• Understanding of networking and distributed computing concepts

PREFERRED:

• Experience integrating Salesforce or other CRM data into
  Databricks pipelines
• Knowledge of visualization tools such as Power BI , especially with
  Databricks connectors
• Experience working in Agile methodologies and using tools like Jira for
  project tracking

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role: is $134,000 to 205,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

About GM

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Why Join Us

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Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

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