Job Description

16 hours ago Be among the first 25 applicants Lensa is the leading career site for job seekers at every stage of their career. Our client, McAfee, is seeking professionals. Apply via Lensa today! Job Title Senior Data Ingestion Engineer - Remote Role Overview We are seeking a seasoned analytical leader to join our Enterprise Data Platform team as the Capability Lead, Data Ingestion, reporting to the Enterprise Data Platform Lead. As a key leader of McAfee’s enterprise data strategy, you will be responsible for leading a team that manages ingestion on the Databricks platform. This role requires a deep understanding of: Data Lake ingestion processes and best practices ETL/ELT design

CI/CD

System integration tools Data pipeline management This is a Remote position located in the United States. We are only considering candidates located in the United States and are not providing relocation at this time. About The Role Lead the Enterprise Data Platform Ingestion team, providing strategic guidance, mentorship, and leadership Oversee a team of data ingestion engineers, providing code review, best practices, and adherence to platform standards Provide guidance for ingestion best practices from a variety of source systems and knowledge to tailor ingestion approaches on a per-system basis Manage, maintain, and oversee ETL/ELT pipelines on the Databricks platform Ensure ELT/ETL design meets required security and compliance guidelines, and ensure PII management, flagging, and risk assessment during ingestion Maintain ETL/ELT pipeline infrastructure and implement automated monitoring strategies Manage Agile sprint development cycles for the Ingestion team Ensure adherence to SDLC best practices About You Bring 5+ years of experience in data engineering, ingestion pipelining, and ETL/ELT Hold an advanced degree in computer science, engineering, statistics, or related field Have experience leading small, high-performing teams of data engineers Have hands-on experience with and understanding of the following: Spark/Scala SQL Python/PySpark or similar programming language Databricks ETL/ELT development, monitoring and pipelining using tools such as Apache Airflow Ingestion tools such as Dell Boomi Data quality guidelines CI/CD pipelines Agile sprint management Git and version control Company Overview McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits And Perks We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Bonus Program 401k Retirement Plan Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage Paid Parental Leave Support for Community Involvement 14 Paid Company Holidays Unlimited Paid Time Off for Exempt Employees 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. The starting pay range for this position is $107,430.00-$176,490.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner. Please click here ( to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California. Seniority level Seniority level Mid-Senior level Employment type Employment type Part-time Job function Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Lensa by 2x Get notified about new Senior Data Engineer jobs in San Jose, CA . San Jose, CA $181,000.00-$354,200.00 3 days ago Mountain View, CA $170,000.00-$200,000.00 1 week ago San Jose, CA $107,430.00-$176,490.00 1 week ago San Jose, CA $90,000.00-$150,000.00 3 days ago Menlo Park, CA $102,000.00-$155,000.00 3 weeks ago Mountain View, CA $140,000.00-$190,000.00 3 months ago Senior Software Engineer, Groove Analytics Mountain View, CA $150,000.00-$185,000.00 3 months ago Senior or Staff Software Engineer, Database Engineer San Francisco Bay Area $200,000.00-$240,000.00 3 weeks ago Senior Software Engineer - Data Lakehouse Infrastructure We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr Lensa

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Holiday work, Temporary work, Part time, Relocation, Flexible hours,

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