analyst

data engineer - aws (snowflake) Jobs in Los Angeles

data engineer - aws (snowflake)

data engineer ii

data scientist intern Jobs in Los Angeles

data scientist intern

databricks data engineer (devops) Jobs in Los Angeles

databricks data engineer (devops)

data scientist

Tiger Analytics

<div>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities: 
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul> 

Requirements 
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with Retail Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</div>

Lead Data Scientist

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 
 As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
 
 
 
 
 
 
 
 We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
 
 
 
 
 
 
 
 What you'll do:
 
 <li>
 Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
 </li>
 <li>
 Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
 </li>
 <li>
 Design and execute A/B experiments to measure the impact of product features and algorithmic changes
 </li>
 <li>
 Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
 </li>
 <li>
 Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
 </li>
 <li>
 Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
 </li>
 <li>
 Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
 </li>
 
 
 
 
 What we're looking for:
 
 <li>
 Passion for using data and experimentation to solve complex problems
 </li>
 <li>
 Intermediate to advanced SQL skills for data querying and analysis
 </li>
 <li>
 Familiarity with / building to proficiency in Python
 </li>
 <li>
 Strong foundation in statistics, probability, and machine learning fundamentals
 </li>
 <li>
 Understanding of data structures and algorithms
 </li>
 <li>
 Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
 </li>
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 The compensation range listed above is representative of the hourly rate offered.
 
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 
</div>

Data Scientist Intern

Kirkland & Ellis

<div>About Kirkland &amp; Ellis
At Kirkland &amp; Ellis, we don&rsquo;t just meet the standard for legal excellence &mdash; we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 22 offices worldwide. Our dedicated professionals share our lawyers&rsquo; commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You&rsquo;ll Do
<div>Are you energized by solving complex data challenges and delivering high-quality technical solutions that drive litigation success? As a Litigation &amp; Practice Technology (LPT) Senior Analyst at Kirkland &amp; Ellis, you&rsquo;ll play a critical role in supporting case teams through hands-on management of data, databases, document productions, and advanced litigation technology tools. 
Working closely with LPT Project Managers and firm leadership, you&rsquo;ll help ensure the secure, efficient, and accurate handling of client data across all phases of discovery and litigation support. This role offers a chance to apply your expertise in eDiscovery tools, analytics, and process improvement within a fast-paced, collaborative environment that values precision, problem-solving, and innovation. 
Based on firm need and individual interest, qualified Senior Analysts may eventually have an opportunity to transition into a Data Scientist role focused on data analysis and AI engineering for client engagements. 
This position may occasionally require travel and after-hours support to meet client or project needs. 
 
<ul><li>Data &amp; Database Management: Process, convert, and manage electronically stored information (ESI) in accordance with case-specific requirements.</li><li>Technical Execution: Create, configure, and administer Relativity workspaces, Brainspace environments, and other eDiscovery applications.</li><li>Quality &amp; Compliance: Conduct quality control checks on data processing and production deliverables to ensure accuracy, consistency, and compliance with project specifications.</li><li>Production Support: Generate custom load files, metadata, native files, and text files; ensure proper optical character recognition (OCR), redaction, and production formatting.</li><li>Troubleshooting &amp; Support: Resolve complex data loading and application issues, providing timely, hands-on technical support to case teams.</li><li>Analytics &amp; Reporting: Utilize analytics tools such as Relativity Analytics and Brainspace to support deduplication, email threading, privilege review, and predictive modeling.</li><li>Collaboration &amp; Communication: Partner with Project Managers, Operations, and case teams to meet deadlines, manage deliverables, and maintain clear communication across offices.</li><li>Process Improvement: Contribute to documentation, training materials, and process refinement initiatives that advance departmental efficiency.</li><li>Training &amp; Knowledge Sharing: Deliver training sessions for case teams and provide briefings to department leadership as requested.</li></ul> 
</div>What You&rsquo;ll Bring
<ul><li>Education: Bachelor&rsquo;s degree preferred; an associate degree combined with relevant experience will be considered.</li><li>Experience: Minimum of 6 years (preferred) in legal technology or eDiscovery support, ideally within an Am Law 100 firm or equivalent service provider.</li><li>Technical Expertise: At least 3 years of hands-on experience with leading eDiscovery platforms (e.g., Relativity, Reveal), including database setup, search design, and workflow configuration.</li><li>Production &amp; Processing Skills: Strong knowledge of eDiscovery processing tools (Relativity, Nuix, LAW) and demonstrated experience in creating complex document productions.</li><li>Analytics Proficiency: Minimum of 1 year using analytics tools (e.g., Relativity Analytics, Brainspace, NexLP) for machine learning&ndash;based review and quality control.</li><li>Programming &amp; Scripting: Working knowledge of SQL, Python, and scripting languages to convert and analyze data effectively.</li><li>Communication &amp; Problem-Solving: Ability to convey technical concepts clearly, respond effectively to stakeholder needs, and identify solutions under tight timelines.</li><li>Project Management: Proven ability to manage multiple priorities simultaneously with a high degree of accuracy and professionalism.</li><li>Certifications: Relativity Certified Administrator (RCA) required; Brainspace Analyst Certification preferred.</li><li>Adaptability: A proactive, &ldquo;can-do&rdquo; mindset with the flexibility to handle changing priorities and evolving technologies.</li></ul> 
Compensation
The base salary range below represents the low and high end of the salary range for this position in each of the below locations. This range may differ based on your geographic location and cost of living considerations. At Kirkland &amp; Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $133,000 - $183,000
Los Angeles: $133,000 - $200,000
New York: $133,000 - $200,000
Washington D.C.: $133,000 - $200,000
Bay Area: $133,000 - $208,000
How to Apply
Thank you for your interest in Kirkland &amp; Ellis LLP. To complete an application and submit your resume, please click &quot;Apply Now.&quot;
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee&rsquo;s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-LC1</div>

Litigation & Practice Technology Senior Analyst

Centene

<div>You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. 
Position Purpose: Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Engages with the DevSecOps Engineer during continuous integration and continuous deployment.<ul><li>
Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.)</li>
<li>Designs, develops, implements, tests, documents, and operates large-scale, high-volume, high-performance data structures for business intelligence analytics</li>
<li>Designs, develops, and maintains real-time processing applications and real-time data pipelines</li>
<li>Ensure quality of technical solutions as data moves across Centene&rsquo;s environments</li>
<li>Provides insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions</li>
<li>Develops, constructs, tests, and maintains architectures using programming language and tools</li>
<li>Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated</li><li>
Performs other duties as assigned</li>
<li>Complies with all policies and standards</li></ul>
Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 &ndash; 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. 
 
Technical Skills:<ul><li>
One or more of the following skills are desired.</li><li>
ETL</li><li>
SQL</li><li>
Snowflake</li></ul>
Pay Range: $63,600.00 - $114,600.00 per year
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. 
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act</div>

Data Engineer II

The Data Sherpas

<div>Who We Are:

We are a dynamic team focused on building innovative and scalable data solutions on Amazon Web Services (AWS). Our AWS Data Engineer will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.The ideal candidate will bridge the gap between AWS infrastructure and Snowflake Data Cloud, ensuring a seamless flow of data for analytics. 
What We Are Looking For:

We are seeking a highly skilled and experienced AWS Data Engineer who will be responsible for developing and managing data pipelines on AWS. The ideal candidate will bring strong expertise in AWS data services, big data processing, and data modeling to help us provide high-performance data solutions. Experience in optimizing Snowflake performance and managing Snowflake objects within an AWS environment is critical. 
Responsibilities:

Data Pipeline Development and Management:
<ul>
<li>Design and automate end-to-end data ingestion from APIs, databases, and third-party sources into AWS S3 using Glue, Kinesis, and Lambda.</li>
<li>Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.</li>
<li>Optimize data pipeline performance, scalability, and reliability.</li>
<li>Ensure data processing and ingestion workflows are monitored and meet performance SLAs.</li></ul> 


Data Storage and Management:
<ul>
<li>Design and implement data storage solutions using Amazon S3, Redshift, DynamoDB, and RDS.</li>
<li>Architect and manage the 'S3-to-Snowflake' bridge using Snowpipe and External Tables to ensure near real-time data availability.</li>
<li>Optimize data structures, partitioning, and indexing for performance and cost efficiency.</li>
<li>Ensure data security, integrity, and availability across different AWS storage solutions.</li>
<li>Manage data lifecycle policies and archiving processes.</li></ul> 


Data Transformation and Processing:
<ul>
<li>Develop data transformation processes using AWS Glue, EMR, and Athena.</li>
<li>Implement data quality checks, validation rules, and monitoring solutions.</li>
<li>Support real-time and batch data processing needs.</li>
<li>Develop and manage complex data transformations using dbt and Snowflake SQL, ensuring code modularity and version control.</li></ul> 


Data Integration and Automation:
<ul>
<li>Integrate data from multiple sources, including APIs, databases, and third-party applications.</li>
<li>Ensure data consistency across different environments and systems.</li></ul> 


Collaboration and Stakeholder Engagement:
<ul>
<li>Work closely with data scientists and analysts to understand data needs and business goals.</li>
<li>Provide technical guidance and best practices to the data engineering and business teams.</li>
<li>Collaborate with security and compliance teams to ensure data governance standards are met.</li></ul> 


Performance Monitoring and Troubleshooting:
<ul>
<li>Monitor data pipeline performance and troubleshoot issues in real-time.</li>
<li>Analyze data pipeline failures and implement fixes to prevent recurrence.</li>
<li>Set up logging and monitoring using CloudWatch and X-Ray.</li></ul> 


Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related field; Master&rsquo;s degree is a plus.</li>
<li>5+ years of experience in data engineering, with a focus on AWS and modern cloud data warehouses (Snowflake experience required).</li>
<li>AWS Certified Data Analytics &ndash; Specialty or AWS Certified Big Data &ndash; Specialty certification is required.</li>
<li>Strong proficiency with AWS services such as S3, Redshift, Glue, Athena, Kinesis, Lambda, and Step Functions.</li>
<li>Hands-on experience with big data tools and frameworks such as Apache Spark, Hadoop, and Flink.</li>
<li>Proficiency in dbt (Core or Cloud) for managing transformation workflows, with a strong understanding of dbt testing and documentation frameworks.</li>
<li>Proficiency in programming languages such as Python, Java, or Scala.</li>
<li>Strong knowledge of SQL, data modeling, and query optimization.</li>
<li>Experience with CI/CD tools and version control (e.g., Git, CodePipeline).</li>
<li>Strong understanding of data governance, security, and compliance requirements.</li>
<li>Ability to manage large-scale data processing and real-time data pipelines.</li>
<li>Excellent problem-solving, analytical, and communication skills.</li></ul> 


Preferred Skills:
<ul>
<li>Experience with data lake architecture and implementation on AWS.</li>
<li>Familiarity with Infrastructure as Code (IaC) tools such as CloudFormation and Terraform.</li>
<li>Experience with NoSQL databases (e.g., DynamoDB) and key-value stores.</li>
<li>Knowledge of containerization and orchestration using ECS and EKS.</li>
<li>Snowflake Core Certification (Pro) is a significant plus.</li>
<li>Experience with dbt-package management and integrating dbt with AWS-based orchestration tools like Airflow or Step Functions.</li></ul> 


What We Offer:
<ul>
<li>Competitive salary and performance-based incentives.</li>
<li>Comprehensive health, dental, and vision coverage.</li>
<li>401(k) with company matching.</li>
<li>Professional development and training opportunities (including AWS certification).</li>
<li>Flexible work environment and remote work options.</li></ul> 


Join us and be part of a team building innovative and scalable data solutions on Amazon Web Services! 
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate. 
We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.</div>

Data Engineer - AWS (Snowflake)

Persistent Systems

<div><div><div>Job Description
</div><div><div><div>
About Persistent 

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. 

Our disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence? Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PE?? Assessment 2025. 

About Position: 

We are looking for an experienced Databricks Data Engineer with strong DevOps expertise to join our data engineering team. The ideal candidate will design, build, and optimize large-scale pipelines on the Databricks Lakehouse Platform on AWS, while driving automated CI/CD and deployment practices. This role requires strong skills in PySpark, SQL, AWS cloud services, and modern DevOps tooling. You will collaborate closely with cross-functional teams to deliver scalable, secure, and high-performance data solutions. 

<ul><li>Role: Databricks Data Engineer (DevOps)</li>
<li>Location: Los Angeles CA</li>
<li>Experience: 8+ Years</li>
<li>Job Type: Fulltime /Contract</li></ul> 

What You'll Do: 

<ul><li>Designing and implementing Databricks-based Lakehouse architectures on AWS</li>
<li>Clear separation of compute vs. serving layers</li>
<li>Ability to design low-latency data/API access strategies (beyond Spark-only patterns)</li>
<li>Strong understanding of caching strategies for performance and cost optimization</li>
<li>Data partitioning, storage optimization, and file layout strategy</li>
<li>Ability to handle multi-terabyte structured or time-series datasets</li>
<li>Skill in requirement probing, identifying what matters architecturally</li>
<li>A player-coach mindset: hands-on engineering + technical leadership</li>
<li>Strong hands-on experience with Databricks, including:</li>
<li>Delta Lake ,Unity Catalog ,Lakehouse Architecture ,Delta Live Pipelines ,Databricks Runtime ,Table Triggers ,Databricks Workflows</li>
<li>Proficiency in PySpark, Spark, and advanced SQL.</li>
<li>Expertise with AWS cloud services, including:S3 ,IAM Glue / Glue Catalog ,Lambda Kinesis (optional but beneficial)Secrets Manager</li>
<li>Strong understanding of DevOps tools:Git / GitLabCI/CD pipelines</li>
<li>Databricks Asset Bundles</li>
<li>Familiarity with Terraform is a plus.</li>
<li>Experience with relational databases and data warehouse concepts.</li></ul> 

Expertise You'll Bring: 

<ul><li>Design, build, and maintain scalable ETL/ELT pipelines using Databricks on AWS.</li>
<li>Develop high-performance data processing workflows using PySpark/Spark and SQL.</li>
<li>Integrate data from Amazon S3, relational databases, and semi/non?structured sources.</li>
<li>Implement Delta Lake best practices including schema evolution, ACID, OPTIMIZE, ZORDER, partitioning, and file-size tuning.</li>
<li>Ensure architectures support high-volume, multi-terabyte workloads</li>
<li>DevOps &amp; CI/CD</li>
<li>Implement CI/CD pipelines for Databricks using Git, GitLab, GitHub Actions, or AWS-native tools.</li>
<li>Build and manage automated deployments using Databricks Asset Bundles.</li>
<li>Manage version control for notebooks, workflows, libraries, and environment configuration.</li>
<li>Automate cluster policies, job creation, environment provisioning, and configuration management.</li>
<li>Support infrastructure-as-code via Terraform (preferred) or CloudFormation.</li>
<li>Collaboration &amp; Business Support</li>
<li>Work with data analysts and BI teams to prepare curated datasets for reporting and analytics.</li>
<li>Collaborate closely with product owners, engineering teams, and business partners to translate requirements into scalable implementations.</li>
<li>Document data flows, technical architecture, and DevOps/deployment workflows.</li>
</ul>
Expertise You'll Bring:
<ul><li>Performance &amp; Optimization</li>
<li>Tune Spark clusters, workflows, and queries for cost efficiency and compute performance.</li>
<li>Monitor pipelines, troubleshoot failures, and maintain high reliability.</li>
<li>Implement logging, monitoring, and observability across workflows and jobs.</li>
<li>Apply caching strategies and workload optimization techniques to support low-latency consumption patterns.</li>
<li>Governance &amp; Security</li>
<li>Implement and maintain data governance using Unity Catalog.</li>
<li>Enforce access controls, security policies, and data compliance requirements.</li>
<li>Ensure lineage, quality checks, and auditability across data flows.</li></ul> 

Benefits: 

<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul> 

Values-Driven, People-Centric &amp; Inclusive Work Environment: 

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. 

<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul> 

Let's unleash your full potential at Persistent - persistent.com/careers 

&quot;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&quot;
</div></div></div></div><div></div><div><div><div>
1</div><div><div>
Open Positions
</div></div></div></div><div><div><div>Databricks,DevOps</div><div><div>
Skills Required
</div></div></div></div><div><div><div>Los Angeles, CA, USA</div><div><div>
Location
</div></div></div></div><div><div><div>Databricks,DevOps</div><div><div>
Desirable Skills
</div></div></div></div><div><div><div>8 to 16 years</div><div><div>
Years Of Exp
</div></div></div></div><div><div><div>168721</div><div><div>
Job Code</div></div></div></div></div>

Databricks Data Engineer (DevOps)

Zenlayer

<div>Zenlayer Inc. is looking for Internet Data Center (IDC) Engineers/Technicians to station at its data center located in Downtown Los Angeles. The job requires physical strength and shift flexibility to accommodate full IDC service coverage. 


Duties &amp; Responsibilities:
<ul>
<li>Strong working knowledge with servers and network hardware/components, copper and fiber infrastructure installations and testing, data center product support applications, software (Windows, Linux, SSH, RDP, Putty, etc.) configurations and data center infrastructure management (DCIM) related tools.</li>
<li>Complete cabling and installation in server, router, switch according to work orders as well as MACs (Moves/Adds/Changes) orders in designated data centers, including devices receiving, labeling, racking, powering and network connection, configuration, troubleshooting and break-fixing.</li>
<li>Maintain a safe and secure operation environment by reporting any violations to the direct supervisor, adhere to security and safety of data protection protocols, error logging practices and support operating procedures.</li>
<li>Maintain asset management and compliance with audit, daily log tracking, fulfilling documentation, retention practices and inventory checking.</li>
<li>Provide smart-hands assistance at various sites within specified SLA (Service Level Agreement) response time.</li>
<li>Provide status reporting regarding data center service availability, performance, and capacity utilization.</li>
<li>Coordinate equipment/material receiving, shipping and RMA processing support when required.</li>
<li>Provide general cleaning on raised floor, cabinet/rack exterior surfaces, work benches and other areas as needed on a regular basis.</li>
<li>On-call duties as needed. Traveling for on-site service support or deployment when needed.</li></ul> 


Required Qualifications:
<ul>
<li>Must be action oriented &ndash; understand task priority and the urgency of meeting deadlines. Well-known who, when, how to troubleshoot networking systems onsite and hands-on hardware updates. Not only do you have a team player mentality, but you are ready to infuse passion into your work in internet networking.</li>
</ul><ul><li>Fluent in Mandarin Chinese (listen, speak, read, and write)</li>
<li>Knowledge of networking, servers and OS. Understand TCP/IP.</li>
<li>Ability to use IDC hand tools.</li>
<li>Ability to lift heavy loads up to 50 lbs. Must be able to work at heights from a ladder and in noisy or confined space.</li>
<li>Ability to travel 20%+ of time when required.</li>
<li>Must be self-motivated, detail oriented, positive in approach, professional and help create, develop and implement project process improvements.</li>
<li>Excellent communication skills.</li>
<li>Ability to rotate shifts including holidays, off hours (i.e., graveyard shift), weekend and vacation.</li></ul> 


Preferred Qualification:
<ul>
<li>Bachelor&rsquo;s or higher degree preferred.</li>
<li>More than 1 year of above IDC experience.</li>
<li>Previous managerial position in this category.</li>
</ul><ul><li>Any above-describe IDC qualifications, certifications or rewards.</li></ul> 


About Zenlayer:

Zenlayer (www.zenlayer.com) is a global edge cloud services company headquartered in Los Angeles, with branches and affiliates in Shanghai, Singapore and multiple international locations. Businesses utilize Zenlayer&rsquo;s platform to deploy applications closer to the users and improve their digital and AI experience. Zenlayer offers edge computer networking and application services up to 300 locations globally. 
Additional Information:
<ul>
<li>Schedule: Full-time</li>
<li>Job Type: Regular</li>
<li>Work Location: Downtown Los Angeles, CA</li>
<li>Benefit Eligibility: Yes</li>
<li>Salary: Compensation package will be commensurate with experience.</li>
<li>Zenlayer offers a competitive compensation package, including health, dental and vision insurance, paid holidays, vacation, personal and sick days, 401(k) plan, wellness benefits, etc.</li>
<li>Candidates with US work eligibility will be prioritized as we will not be able to consider candidates who require via sponsorship at this time.</li></ul></div>

Data Center Engineer (Mandarin Bilingual)

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