100% REMOTE Lead Data Engineer / Principal Data Platform Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button
and sending us your resume. Salary: $185,000 - $235,000 per year A bit about us: We are a growing subsidiary of a large public company that is hiring multiple data engineers! If you are a Principal Data Engineer / Staff Data Platform Engineer, please read on! Why join us? As a Lead Data Infrastructure Engineer / Staff Data Engineer in our company, we are able to offer: <ul><li> A competitive base salary between $185k and $235k, depending on experience!</li><li> Stock grant of $12k to $40k, depending on experience!</li><li> Bonus of 12-20%, depending on seniority!</li><li> Work from home / work remote 100%!</li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution!</li><li> Comprehensive medical, dental, vision and life insurance!</li><li> 17 paid holidays per year, including 3 floating holidays!</li><li> Annual Paid Time Off (PTO), with separate sick days!</li><li> 12 weeks paid Parental Leave!</li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.!</li><li> Tuition reimbursement! </li><li> Ability to attend conferences!</li><li> A MacBook Pro and accompanying hardware to do great work!</li><li> A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more!</li><li> Generous company discounts!</li><li> Eligible for donation matching to over 1.5 million nonprofit organization!</li></ul> Job Details As a Principal Data Infrastructure Engineer / Staff Data Infrastructure Engineer on our team, we are looking for: <ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field</li><li> 7+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)</li><li> 2+ years of leading a cross-functional team to deliver data projects, including 1+ year of experience as a reporting manager of a small team</li><li> Strong programming skills in Python and understanding of core computer science principles</li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks </li><li> Experience with some or most of the following would be ideal: Snowflake, Fivetran, DBT Cloud, DataDog, Atlan, Monte Carlo, Airflow (MWAA), EKS (Kubernetes)</li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: THE ROLE: We are seeking a Senior Data Platform Engineer who can design, develop, and manage some of the most impactful Enterprise-wide Big Data and Data Analytics PlatformTHE PERSON: You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently. KEY RESPONSIBILITIES: Manage Kafka producer and spark consumer at very large scale. Design and implement Flink and Spark based ETL flow. Optimize and scale Iceberg Lakehouse Manage Data Integrity and Data Security for various big Data Platform Enterprise Data Warehousing scalability using Snowflake, Dremio, and Databricks Lakehouse Collaborate effectively with other technical teams to exploit new technologies to enhance the applications and service infrastructure. Managing highly scalable on-prem and cloud environment in Azure, GCP and AWSPREFERRED EXPERIENCE: Deep hands-on experience with big data platform Experience in Lakehouse Platforms preferably Apache Iceberg or/and Delta Lake ETL tool knowledge using Spark, Flink, Databricks, Apache Airflow etc. DW development and maintenance, to include ETL (extraction, transformation, and loading) to support Enterprise Level Business Intelligence platforms. Hands on experience with on-prem and cloud based big data platforms. Experience in cloud technologies managing end to end subscription. Solid knowledge in coding with Spark/Scala/Python/Java Strong understanding of Enterprise applications development platform Familiar with Data pipeline performance monitoring and load performance test framework/tools. Creative problem-solving style and strong critical thinking skills. Strong written and verbal communication skills. Write clear, concise, and comprehensive technical documentation.ACADEMIC CREDENTIALS: Bachelors/masters degree in computer science or related field strongly preferred. LOCATION:San Jose, CA #LI-MF2#LI-HYBRID Qualifications: At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMDs Employee Stock Purchase Plan. Youll also be eligible for competitive benefits described in more detail <a href="https://amd.jibeapply.com/benefits" target="_blank" rel="noopener">here</a>. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants needs under the respective laws throughout all stages of the recruitment and selection process.

At Mendel, we harness AI to revolutionize healthcare. Our ambition is to ensure every patient's journey informs healthcare decisions, optimizing treatment plans and promoting drug discoveries. Through comprehensive analysis of patient health records, we aspire to deliver timely and precise care. If you share our zeal for healthcare advancement through technology, let's reshape the future together. About the Role We seek an experienced and highly skilled Senior Data Platform Engineer to join our dynamic team. In this crucial role, you will be responsible for designing, building, and maintaining our organization's data platforms and infrastructure, ensuring efficient and reliable data processing, storage, and analysis capabilities. Your expertise in data engineering will contribute to our organization's data-driven decision-making and overall success. You Will <ul><li>Architect and build scalable and performing data platforms by leveraging technologies like Apache Spark, Elastic, Kafka, Kubernetes, and various cloud-based data services.</li><li>Design and develop data pipelines for ingesting, transforming, and processing large volumes of structured and unstructured data from multiple sources.</li><li>Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into robust and efficient scalable data solutions.</li><li>Optimize data workflows and processes for performance, reliability, and cost-effectiveness.</li><li>Implement data governance policies, data quality controls, and data security measures to ensure data integrity and compliance with regulatory requirements.</li><li>Automate and streamline data operations through scripting, containerization, and orchestration tools.</li><li>Participate in code reviews, knowledge sharing, and mentoring of junior team members.</li><li>Stay up-to-date with emerging data technologies, trends, and best practices, and contribute to the continuous improvement of our data platform.</li></ul>You Have <ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.</li><li>Minimum of 5 years of experience in data engineering or a related role, with a strong focus on building and maintaining data platforms and infrastructure.</li><li>Proficient in programming languages such as Python, Scala, or Java, and experience with SQL and NoSQL databases.</li><li>Hands-on experience in distributed computing frameworks like Apache Spark, Ray, and related ecosystem tools.</li><li>Experience cloud platforms (e.g., AWS, GCP, Azure) and their data services.</li><li>Experience with containerization technologies like Docker and orchestration tools like Kubernetes.</li><li>Experience in solving complex problems using both structured and unstructured data.</li><li>Strong understanding of data modeling, data warehousing, and data integration concepts.</li><li>Excellent problem-solving, analytical, and troubleshooting skills.</li><li>Ability to work collaboratively in a team environment and communicate complex technical concepts effectively.</li></ul>Nice to Have <ul><li>Master's degree in a relevant field or equivalent experience.</li><li>Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).</li><li>Experience in data governance, data quality, and data security best practices.</li><li>Experience in agile software development methodologies and DevOps practices.</li><li>Experience with machine learning and data science workflows is a plus.</li></ul> In this role, you will play a critical part in shaping our data infrastructure and ensuring that data is available, reliable, and ready for analysis. Your expertise in data engineering will contribute to our organization's data-driven decision-making and overall success. Compensation $170,000 - $230,000 Message to applicants applying to work in the U.S.: When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. Why should you join our team: At Mendel, we believe in the transformative potential of technology. We offer a dynamic and rewarding work environment, competitive compensation, and comprehensive benefits. If you share our passion for innovation and making a difference in healthcare, Mendel could be the place for you. Join us as we work to improve the future of healthcare. Mendel is a very collaborative environment. You will be taking ownership of your work and collaborate directly with different teams to see it going into production and used by customers. At the same time, you will be mentored by world class AI scientists, software engineers, and clinical and business leaders. Hear from our team here.

Data Platform Engineer Jobs in San Jose, CA

Lead Data Platform Engineer
August 21, 2024

Senior Staff Data Platform Engineer
August 14, 2024

Senior Data Platform Engineer
August 12, 2024

Quick filters

Top companies

Data Platform Engineer Jobs in San Jose, CA

Lead Data Platform EngineerAugust 21, 2024

Senior Staff Data Platform EngineerAugust 14, 2024

Senior Data Platform EngineerAugust 12, 2024

Quick filters

Top companies

Lead Data Platform Engineer
August 21, 2024

Senior Staff Data Platform Engineer
August 14, 2024

Senior Data Platform Engineer
August 12, 2024