Staff Cloud Data Engineer
Staff Cloud Data Engineer
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Job Description
Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report onsite at the Austin TX Warren MI or Roswell GA three times per week at minimum or other frequency dictated by the business.
The Role
As a Staff Cloud Data Engineer you will play a critical role in architecting designing and delivering scalable highperformance data solutions in the cloud. You will lead the development of systems that support efficient data processing storage and retrieval. This is a seniorlevel role that requires deep technical expertise strong leadership and a demonstrated history of executing complex data engineering initiatives.
In addition to strong data engineering capabilities a solid foundation in software engineering principlessuch as code quality design patterns testing and CI/CDis highly valued. The ideal candidate combines a datadriven mindset with modern software engineering best practices to build robust maintainable and productionready data systems.
Prospective team member possesses a high degree of business insight creativity decision making skills a drive for results the ability to negotiate the ability to develop strong peer relationships and a strong technical learning capability and focus.
Your Skills & Abilities (Required Qualifications)
- Bachelors Degree in Computer Science Engineering or equivalent degree
- Over 10 years of experience in building operating scalable and reliable platforms.
- Expertise leading Agile (scrum and feature driven development) teams that have regularly (daily weekly) delivered software while practicing code reviews
- Develop data models and schemas that support efficient data storage retrieval and analytics employing optimization techniques to enhance query performance and scalability
- Expertise in SQL (relational databases) keyvalue datastores and document stores
- Creating selfcontained reusable and testable modules and components in frontend and backend work
- Leverage big data technologies and frameworks (e.g. Hadoop Spark Hive) to process and analyze large volumes of data enabling advanced analytics and machine learning initiatives.
- Manage and optimize data infrastructure including cloudbased platforms containerization technologies and distributed computing environments.
- Ensure the security and privacy of our data and compliance with relevant regulations.
- Evaluate new technologies and tools for data processing storage and retrieval and recommend solutions to improve the efficiency and scalability of our data infrastructure.
- Strong proficiency in data engineering technologies such as ETL frameworks big data processing and SQL and NoSQL databases.
- Excellent verbal and written communication skills and ability to effectively communicate and translate feedback needs and solutions
- Creative problemsolving skills that deliver elegant solutions to complex issues
- Strong understanding of distributed systems and the modern data stack
- Experience with Databricks or snowflake and Azure/GCP platforms
- Experience using Git source control doing rebases merges and handling merge conflicts
- Experience in enterprise integration common integration patterns (batch microbatch near realtime and real time) and ETL tools
- Knowledge of cloudnative architecture and best practices
- Demonstrated knowledge and implementation experience of Data Streaming architectures
- Define document and maintain architecture patterns
Additional Job Description
What Can Give You a Competitive Advantage (Preferred Qualifications)
- Over 6 years utilizing platform and infrastructure as a service technologies and capabilities and their corresponding services (object store configuration management service registries etc)
- Experience with Databricks/Snowflake and Azure/GCP platforms will be an added advantage
- Experience using Git source control doing rebases merges and handling merge conflicts
- Exposure to software defined networking zero trust security models micro segmentation and second layer of defense technologies
- Experience in enterprise integration common integration patterns (batch microbatch near realtime and real time) and ETL tools
- Working knowledge of Hadoop Spark Object Storage (ADLS/S3 Event Queues
- Demonstrated knowledge and implementation experience of Data Streaming architectures and design principles
- Knowledge of cloudnative architecture and best practices
- Hands on Experience with stream processing in Kubernetes
- Hands on experience with Elastic search and Kafka Ecosystem
- Strong proficiency in sql python and pyspark. proven ability to optimize sql queries and performance tune data pipelines.
- Experience in building and operating highly available distributed data pipelines for largescale data ingestion processing and extraction.
- Experience integrating multicloud services with onpremises technologies. strong understanding of data modeling processes.
- Proven ability to solve complex data problems collaborate effectively with crossfunctional teams and deliver highquality solutions
- Knowledge of cloudnative architecture and best practices
- Hands on Experience with stream processing in Kubernetes
- Hands on experience with Elastic search and Kafka Ecosystem
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
Compensation:
- The expected base compensation for this role is: $160200 $258700. Actual base compensation within the identified 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 IMMIGRATIONRELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g. H1B TN STEM OPT etc. NOW OR IN THE FUTURE.
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About GM
Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals dependent on role needs. Every day we want every employee no matter their background ethnicity preferences or location to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and wellbeing of you and your family. Our comprehensive compensation plan incudes the following benefits in addition to many others:
Paid time off including vacation days holidays and parental leave for mothers fathers and adoptive parents;
Healthcare (including a triple tax advantaged health savings account and wellness incentive) dental vision and life insurance plans to cover you and your family;
Company and matching contributions to 401K savings plan to help you save for retirement;
Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
Tuition assistance and student loan refinancing;
Discount on GM vehicles for you your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional personal educational or volunteer is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
GMis an equal opportunity employer and complies with all applicable federal state and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment all practices and decisions relating to terms and conditions of employment including but not limited to recruiting hiring training promotion discipline compensation benefits and termination of employment are made without regard to an individuals protected characteristics. For purposes of this policy protected characteristics include an individuals actual or perceived race color creed religion national origin ancestry citizenship status age sex or gender (including pregnancy childbirth lactation and related medical conditions) gender identity or gender expression sexual orientation weight height marital status military service and veteran status physical or mental disability protected medical condition as defined by applicable state or local law genetic information or any other characteristic protected by applicable federal state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment email us ator call us at. In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Required Experience:
Staff IC
Employment Type
Full-Time
