Senior Data Engineer

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI or Austin, TX offices three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

What You'll Do

• Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards
• Create and maintain optimal data pipeline architecture
• You will assemble large, complex data sets that meet functional / non-functional business requirements
• You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs
• Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members

Your Skills & Abilities (Required Qualifications)

• At least 3 years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.
• You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra
• Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer
• Stream-processing systems: Storm, Spark-Streaming, etc.
• 7 or more years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Ability to tackle problems quickly and completely
• Ability to identify tasks which require automation and automate them
• A demonstrable understanding of networking/distributed computing environment concepts
• Ability to multi-task and stay organized in a dynamic work environment

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• AWS cloud services: EC2, EMR, RDS, Redshift

This job may be eligible for relocation benefits.

Compensation:

• The expected base compensation for this role is: $125,000 - $205,100. 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 IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

#LI-CC1
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
About GM

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Benefits Overview

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