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The Cypress Group
New York, NY, United States
My client is an innovative leader in the cybersecurity industry. Their systems consume and process huge volumes (multi-terabytes) of data from a variety of sources every day. They utilize a home-grown Spark based big data analytics platform to execute analytics and data mining on the data sets. They are currently looking for a talented Data Enginee
Job Source: The Cypress GroupCapital One
newark, nj
West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Data Engineer (Python, Scala, or Spark)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of mak
Job Source: Capital OneCapital One
new york city, ny
West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Data Engineer (Python, Scala, or Spark)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of mak
Job Source: Capital OneCapital One
long island, ny
West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Data Engineer (Python, Scala, or Spark)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of mak
Job Source: Capital OneCrescens
Brooklyn, NY, United States
Job Title : IAM E-DIRECTORY ENGINEER Location: Remote Duration: 12+months Type: Contract Job Description: Provide support for EDS eDirectory and Identity Management servers. Work on patching, upgrade, and building servers. Work with Microfocus support backline on outages and other problems. Participate in projects such as new application dep
Job Source: CrescensPenn Mutual
Little Ferry, NJ, United States
Penn Mutual is looking to hire a motivated and experienced Senior Software Engineer, to strengthen and lead our financial services engineering team. This team manages a financial data platform, using big data technologies and a distributed compute engine in the Cloud to process and store large amounts of financial data. The platform also serves as
Job Source: Penn MutualDiverse Lynx
Weehawken, NJ, United States
Role - Data Engineer /Spark and Scala Developer Location: Weehawken, NJ (Day 1 Onsite - No Remote) Mode of employment: Full-Time 7+Yrs exp Job Description: •5+Yrs Experience in Cloud native/Big Data development. •Expertise in Spark and Scala programming languages (Primary Skill) •Experience in executing Scala/Spark code using Databricks fram
Job Source: Diverse LynxCapital One
Newark, NJ, United States
Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer (Python, Spark, MLOPS, Cloud) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, developm
Job Source: Capital OneLittle Ferry, NJ, United States
CSQ124R99
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other US locations.
As a Senior Backline Engineer you will help our customers to be successful with the Databricks Intelligence Platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Sr. Manager of the Backline Escalations Team.
The Impact You Will Have
Troubleshoot, resolve and suggest deep code-level analysis of Spark to address complex customer issues related to Spark core internals, Spark SQL, Structured Streaming and Databricks Delta.
Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers.
Help the support team with detailed troubleshooting guides and runbooks.
Contribute to automation and tooling programs to make daily troubleshooting efficient.
Work with the Spark Engineering Team and spread awareness of upcoming features and releases.
Identify Spark bugs and suggest possible workarounds.
Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
Participate in weekend and weekday on call rotation.
What We Look For
Minimum 6 years' experience developing, testing, and sustaining Python or Java or Scala-based applications.
Comfortable with compiling, building and navigating the Apache Spark source code.
Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code.
Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines.
Good understanding of AI & ML using python ex:sklearn.
Understanding of general GenAI topics like LLMs and prompt engineering.
Proficiency in GQL (GraphQL) and its applications in AI platforms.
Hands-on experience with YAML for configuration and data representation.
Hands-on experience with SQL-based database systems.
Experience in JVM, GC, Thread dump-based troubleshooting is required.
Experience with AWS or Azure related services.
Bachelor's degree in Computer Science or a related field is required.
Benefits
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$102,400—$181,100 USD
Zone 2 Pay Range
$92,100—$163,000 USD
Zone 3 Pay Range
$87,100—$153,900 USD
Zone 4 Pay Range
$82,000—$144,900 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Email Alert for Senior Backline Engineer - Spark jobs in Little Ferry, NJ, United States
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