Senior Data Engineer - Remote Opportunity at Tesla: Revolutionizing Sustainable Energy through Data-Driven Innovation
Unlock Your Career Potential as a Senior Data Engineer at Tesla
Tesla, a pioneering force in the electric vehicle and clean energy industry, is seeking an experienced Senior Data Engineer to join its remote team. As a leader in the field of sustainable energy, Tesla is committed to accelerating the world's transition to a more environmentally friendly future. With a strong foundation in data-driven decision-making, Tesla relies on its talented team of data engineers to drive business growth, optimize operations, and develop innovative solutions.
About the Role
As a Senior Data Engineer at Tesla, you will play a critical role in designing, developing, and maintaining the company's data infrastructure. You will work closely with cross-functional teams to ensure seamless data flow, drive business insights, and foster a culture of data-driven innovation. This is a unique opportunity to join a dynamic team of professionals who are passionate about harnessing the power of data to shape the future of sustainable energy.
Key Responsibilities
Design, code, test, and document data pipelines and architectures using agreed-upon principles and tools to achieve well-designed outcomes.
Develop a comprehensive approach to data management within an established data architecture that supports the development and secure operation of existing and new data and digital services.
Collect and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
Ensure data quality and implement tools and frameworks for automating the identification of data quality issues.
Collaborate with internal and external data suppliers on data validation, providing feedback, and making necessary improvements to data feeds and data mappings.
Mentor and guide junior data engineers, providing technical guidance and oversight.
Offer ongoing support, monitoring, and maintenance of deployed products.
Work with systems that handle sensitive data with strict SOX controls and change management processes.
Provide timely and accurate estimates for newly proposed functionality upgrades.
Develop, validate, and recommend improvements to Applications in the area of standards, methodologies, compliance, and quality assurance practices; participate in design and code walkthroughs.
Utilize technical and domain knowledge to develop and implement effective solutions; provide hands-on coaching to colleagues through all phases of the Systems Development Life Cycle (SDLC) using Agile practices.
Essential Qualifications
Strong experience with relational and multi-parallel processing databases such as Vertica, SQL Server, and MySQL. NoSQL databases experience is a plus!
Solid foundation in data warehousing, data modeling, data access, and data storage techniques.
Strong proficiency in SQL and query writing is required.
Create, maintain, and improve ETL/ELT pipelines using Python and Windstream.
Knowledge of common APIs: REST, SOAP.
Experience with design, development, and implementation of highly scalable, high-volume software systems and components, source of truth systems for various business areas, developing and maintaining web services in a lightweight environment.
Strong experience with heavenly dashboards and reports creation for C-Level executives.
Ability to support multiple ongoing projects in a fast-paced environment.
Strong analytical and problem-solving skills to design an effective solution.
Strong communication, organizational, negotiation, and adaptability skills to address competing demands.
Passion for Tesla's products and confidence in Tesla's mission to accelerate the world's transition to sustainable energy.
Preferred Qualifications
Experience with data science tools like Pandas, Numpy, R, Tensorflow, Keras.
Understanding of distributed computing, such as how HDFS, Spark, and Presto work.
Work experience with SSIS, Informatica.
Knowledge of real-time messaging tools, such as RabbitMQ, Kafka, Apache Beam, Apache Flink, Spark.
Experience in Big Data processing using Apache Hadoop/Spark ecosystem applications like Hadoop, Hive, Spark, and HDFS.
Experience working with a framework at scale and with Docker/Kubernetes/Jenkins CI/CD pipeline.
Work experience with Tableau.
What We Offer
As a full-time Tesla employee, you will be eligible for a comprehensive benefits package, including:
Competitive compensation: $80,000 - $258,000/yearly compensation + cash and stock awards + benefits.
Aetna PPO and HSA plans with multiple medical plan options and $0 deductible.
Family-building, fertility, adoption, and surrogacy benefits.
Dental and vision plans with options that have $0 deductible.
Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA.
Healthcare and Dependent Care Flexible Spending Accounts (FSA).
LGBTQ+ care navigation services.
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
Company-paid Basic Life, AD&D, short-term, and long-term disability insurance.
Employee Assistance Program
Sick and Vacation Time (Accrual-based for pay positions), and Paid Holidays.
Backup childcare and eldercare support resources.
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance.
Weight Loss and Tobacco Cessation Programs.
Tesla Children program.
Commuter benefits.
Employee discounts and perks program.
Company Culture and Work Environment
Tesla is an Equal Opportunity/Affirmative Action employer committed to diversity in the workplace. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you require a convenience at any time during the screening process, please let your recruiter know.
Join the Tesla Team
If you're a motivated and experienced Senior Data Engineer looking to join a dynamic team of professionals who are shaping the future of sustainable energy, we encourage you to apply for this exciting opportunity. With a comprehensive benefits package, a culture of innovation, and a commitment to diversity and inclusion, Tesla is the perfect place to launch your career or take it to the next level.
Don't miss this chance to be part of a revolutionary company that's changing the world. Apply now and become a part of Tesla's mission to accelerate the world's transition to sustainable energy!
Apply Now
Tesla, a pioneering force in the electric vehicle and clean energy industry, is seeking an experienced Senior Data Engineer to join its remote team. As a leader in the field of sustainable energy, Tesla is committed to accelerating the world's transition to a more environmentally friendly future. With a strong foundation in data-driven decision-making, Tesla relies on its talented team of data engineers to drive business growth, optimize operations, and develop innovative solutions.
About the Role
As a Senior Data Engineer at Tesla, you will play a critical role in designing, developing, and maintaining the company's data infrastructure. You will work closely with cross-functional teams to ensure seamless data flow, drive business insights, and foster a culture of data-driven innovation. This is a unique opportunity to join a dynamic team of professionals who are passionate about harnessing the power of data to shape the future of sustainable energy.
Key Responsibilities
Design, code, test, and document data pipelines and architectures using agreed-upon principles and tools to achieve well-designed outcomes.
Develop a comprehensive approach to data management within an established data architecture that supports the development and secure operation of existing and new data and digital services.
Collect and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
Ensure data quality and implement tools and frameworks for automating the identification of data quality issues.
Collaborate with internal and external data suppliers on data validation, providing feedback, and making necessary improvements to data feeds and data mappings.
Mentor and guide junior data engineers, providing technical guidance and oversight.
Offer ongoing support, monitoring, and maintenance of deployed products.
Work with systems that handle sensitive data with strict SOX controls and change management processes.
Provide timely and accurate estimates for newly proposed functionality upgrades.
Develop, validate, and recommend improvements to Applications in the area of standards, methodologies, compliance, and quality assurance practices; participate in design and code walkthroughs.
Utilize technical and domain knowledge to develop and implement effective solutions; provide hands-on coaching to colleagues through all phases of the Systems Development Life Cycle (SDLC) using Agile practices.
Essential Qualifications
Strong experience with relational and multi-parallel processing databases such as Vertica, SQL Server, and MySQL. NoSQL databases experience is a plus!
Solid foundation in data warehousing, data modeling, data access, and data storage techniques.
Strong proficiency in SQL and query writing is required.
Create, maintain, and improve ETL/ELT pipelines using Python and Windstream.
Knowledge of common APIs: REST, SOAP.
Experience with design, development, and implementation of highly scalable, high-volume software systems and components, source of truth systems for various business areas, developing and maintaining web services in a lightweight environment.
Strong experience with heavenly dashboards and reports creation for C-Level executives.
Ability to support multiple ongoing projects in a fast-paced environment.
Strong analytical and problem-solving skills to design an effective solution.
Strong communication, organizational, negotiation, and adaptability skills to address competing demands.
Passion for Tesla's products and confidence in Tesla's mission to accelerate the world's transition to sustainable energy.
Preferred Qualifications
Experience with data science tools like Pandas, Numpy, R, Tensorflow, Keras.
Understanding of distributed computing, such as how HDFS, Spark, and Presto work.
Work experience with SSIS, Informatica.
Knowledge of real-time messaging tools, such as RabbitMQ, Kafka, Apache Beam, Apache Flink, Spark.
Experience in Big Data processing using Apache Hadoop/Spark ecosystem applications like Hadoop, Hive, Spark, and HDFS.
Experience working with a framework at scale and with Docker/Kubernetes/Jenkins CI/CD pipeline.
Work experience with Tableau.
What We Offer
As a full-time Tesla employee, you will be eligible for a comprehensive benefits package, including:
Competitive compensation: $80,000 - $258,000/yearly compensation + cash and stock awards + benefits.
Aetna PPO and HSA plans with multiple medical plan options and $0 deductible.
Family-building, fertility, adoption, and surrogacy benefits.
Dental and vision plans with options that have $0 deductible.
Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA.
Healthcare and Dependent Care Flexible Spending Accounts (FSA).
LGBTQ+ care navigation services.
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
Company-paid Basic Life, AD&D, short-term, and long-term disability insurance.
Employee Assistance Program
Sick and Vacation Time (Accrual-based for pay positions), and Paid Holidays.
Backup childcare and eldercare support resources.
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance.
Weight Loss and Tobacco Cessation Programs.
Tesla Children program.
Commuter benefits.
Employee discounts and perks program.
Company Culture and Work Environment
Tesla is an Equal Opportunity/Affirmative Action employer committed to diversity in the workplace. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you require a convenience at any time during the screening process, please let your recruiter know.
Join the Tesla Team
If you're a motivated and experienced Senior Data Engineer looking to join a dynamic team of professionals who are shaping the future of sustainable energy, we encourage you to apply for this exciting opportunity. With a comprehensive benefits package, a culture of innovation, and a commitment to diversity and inclusion, Tesla is the perfect place to launch your career or take it to the next level.
Don't miss this chance to be part of a revolutionary company that's changing the world. Apply now and become a part of Tesla's mission to accelerate the world's transition to sustainable energy!
Apply Now