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)

databricks data engineer devops

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)

Scribd, Inc.

<div>
 Scribd, Inc. is on a mission to advance human understanding. Our four products &mdash; Scribd&reg;, Slideshare&reg;, Everand&trade;, and Fable &mdash; help billions of people across the globe move beyond access and into insight, application, and expertise.
 
 
 
 Culture at Scribd, Inc.
 
 
 
 We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
 
 
 We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.
 
 
 So what are we looking for in new team members? At Scribd, Inc., we hire for &ldquo;GRIT.&rdquo; Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.
 
 
 This posting reflects an approved, open position within the organization.
 
 
 
 About The Role &amp; Team
 
 
 
 As a Senior Customer Operations Data Analyst, you will play a pivotal role in analyzing support data (primarily through tickets and user feedback) to understand issues and insights, enhance decision-making, and improve the overall user experience. You will work closely with cross-functional teams to uncover root causes of customer support challenges and opportunities. The ideal candidate is a self-starter who thrives in fast-paced and ever-changing environments. You should be a passionate advocate for improving the customer journey through data-driven insights.
 
 
 As Scribd&rsquo;s first formal analytics hire for the Customer Support team, this is a unique opportunity to shape and drive the analytics function within the department. You will be responsible for gathering, synthesizing, and improving insights across all functions of Customer Support. This includes collaborating with and mentoring peers, as well as hands-on work to collect and analyze data related to key metrics such as Service Level Agreements (SLAs), Quality Assurance (QA), contact rate, customer support satisfaction, refunds, churn, and cost-to-support. You will play a pivotal role in ensuring that data-driven insights are used to enhance decision-making and improve the overall user experience.
 
 
 
 Key Attributes For Success
 
 
 
 <ul>
 <li>
 Customer-centric mindset with strong advocacy for customer needs
 </li>
 <li>
 Entrepreneurial, proactive approach to problem-solving
 </li>
 <li>
 Ability to thrive in a dynamic and fast-paced environment
 </li>
 <li>
 Understands how to leverage the latest technologies, including AI, to enhance customer support operations.
 
 
 </li>
 </ul>
 
 You Will
 
 
 
 <ul>
 <li>
 Data Collection, Synthesis, and Analysis: Gather, analyze, and interpret data to provide insights on customer support data and trends. Create pipelines for the collection and processing of new data from customer support sources.
 </li>
 <li>
 Reporting &amp; Insights: Create comprehensive reports in Databricks, Looker, Google Sheets, Zendesk, and/or similar tools to monitor key metrics.
 </li>
 <li>
 Performance Metrics: Evaluate the effectiveness and performance of Customer Support goals, initiatives, and projects. Conduct in-depth analyses of performance, measuring KPIs such as service level achievement, customer effort &amp; satisfaction, and user retention.
 </li>
 <li>
 Customer Insights: Analyze customer feedback and behavior patterns in response to product changes and on an ongoing basis.
 </li>
 <li>
 Forecasting: Forecast contact volumes and capacity needs.
 </li>
 <li>
 Roadmapping: Collaboratively manage the Customer Support&rsquo;s data analysis roadmap with leadership.
 </li>
 <li>
 Collaboration: Work cross-functionally with stakeholders across Customer Support, Data &amp; Analytics, Product, Engineering, and User Research.
 </li>
 <li>
 Leveraging Technology: Use AI and BI to enhance customer support operations and increase efficiency. Develop and maintain dashboards and reports and own communication of critical marketing metrics and campaign performance to team leads and executive stakeholders.
 </li>
 <li>
 Process Improvement: Provide actionable insights to stakeholders through data analysis, and identify opportunities for improvements operational efficiency. Stay informed about the latest Customer Support trends, analytics tools, and methodologies to continuously improve performance and methodologies.
 </li>
 <li>
 Project Support: Understand, document, and communicate business requirements for projects and process changes.
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 <ul>
 <li>
 3+ years of experience in an analytical or reporting role in Customer Support or Customer Operations within a digital consumer industry, with a strong focus on working autonomously to solve problems.
 </li>
 <li>
 Proficient in using data analytics tools including SQL, Python, Databricks, Looker, and Zendesk Explore (or similar BI tools).
 </li>
 <li>
 Strong working knowledge of MS Excel and/or Google Sheets
 </li>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or Computer Science).
 </li>
 <li>
 Solid knowledge of statistical concepts, including experimental design, hypothesis testing, regression analysis, and forecasting.
 </li>
 <li>
 Exceptional communication and presentation skills, with the ability to translate complex data into clear, actionable recommendations for technical and non-technical stakeholders.
 </li>
 <li>
 Understanding of measurement methodologies and reporting capabilities in ad platforms like Google Ads and Meta Ads a plus.
 </li>
 <li>
 A passion for analyzing user behavior and proven ability to combine product-level and CS data with customer-level data to understand key drivers of performance.
 </li>
 <li>
 Experience with agile workflows and collaboration across product, research, and operations teams.
 </li>
 <li>
 Detail-oriented with strong analytical, critical thinking, and problem-solving skills
 </li>
 <li>
 Ability to work independently, manage multiple tasks, prioritize effectively, and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Experience working with BPOs in an outsourced environment is a nice to have.
 
 
 </li>
 </ul>
 At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.
 
 
 In the state of California, the reasonably expected salary range is between $115,000 [minimum salary in our lowest geographic market within California] to $148,000 [maximum salary in our highest geographic market within California].
 
 
 In the United States, outside of California, the reasonably expected salary range is between $109,500 [minimum salary in our lowest US geographic market outside of California] to $140,000 [maximum salary in our highest US geographic market outside of California].
 
 
 In Canada, the reasonably expected salary range is between $102,500 CAD[minimum salary in our lowest geographic market] to $130,000 CAD[maximum salary in our highest geographic market].
 
 
 We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
 
 
 
 Working at Scribd, Inc.
 
 
 
 
 Are you currently based in a location where Scribd, Inc. can employ you?
 
 
 
 Employees must have their
 
 primary residence in or near
 
 one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:
 
 
 
 United States
 
 
 
 Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.
 
 
 
 Canada
 
 
 
 Ottawa | Toronto | Vancouver
 
 
 
 Mexico
 
 
 
 Mexico City
 
 
 
 Benefits At Scribd, Inc.
 
 
 
 <ul>
 <li>
 Scribd Flex (flexible work model)
 </li>
 <li>
 Comprehensive health, dental, and vision coverage
 </li>
 <li>
 Mental health support and disability coverage
 </li>
 <li>
 Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
 </li>
 <li>
 Paid parental leave and family support benefits
 </li>
 <li>
 Retirement matching and employee equity
 </li>
 <li>
 Learning and development programs and professional growth opportunities
 </li>
 <li>
 Wellness and home office stipends
 </li>
 <li>
 Complimentary access to the Scribd, Inc. suite of products
 </li>
 <li>
 Enterprise access to leading AI tools
 
 
 </li>
 </ul>
 
 Get to Know Scribd, Inc.
 
 
 
 
 About Scribd, Inc.
 
 
 
 
 Life at Scribd, Inc.
 
 
 
 
 We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
 
 
 
 
 Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
 
</div>

Senior Data Analyst - Customer Operations

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)

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

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 Launched in 2012, Tinder&reg; revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, &ldquo;It Starts with a Swipe&rdquo;&trade;"
 
 
 
 
 
 
 
 
 
 Our Values
 
 
 
 
 
 
 
 One Team, One Dream
 
 
 
 We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
 
 
 
 
 
 
 Own It
 
 
 
 We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
 
 
 
 
 
 
 Never Stop Learning
 
 
 
 We cultivate a culture where it&rsquo;s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
 
 
 
 
 
 
 Spark Solutions
 
 
 
 We&rsquo;re problem solvers, focusing on how to best move forward when faced with obstacles. We don&rsquo;t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
 
 
 
 
 
 
 Embrace Our Differences
 
 
 
 We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
 
 
 
 
 
 
 The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high&mdash;making the level of impact each engineer gets to have at Tinder enormous.
 
 
 
 
 As a Backend Engineer at Tinder, you will have an outsized impact and ownership of the most visible aspects of the Tinder App. We are deeply invested in challenging norms, constantly improving architecture design, exploring emergent tech and ideas, and leveraging new technologies in interesting ways to deliver an app that is widely known the world over.&nbsp;
 
 
 
 
 
 
 
 In this role you will:
 
 <li>
 Design, develop and operate scalable and resilient distributed services that run on Kubernetes or ECS
 </li>
 <li>
 Collaborate with various functional teams across Tinder on the expansion of our service platform
 </li>
 <li>
 Influence the team roadmap and product development
 </li>
 <li>
 Recruit, encourage, and develop other team members
 </li>
 
 
 
 
 You'll need:
 
 <li>
 Excellent knowledge and experience with a backend language like Java, Node.js, Go, C++
 </li>
 <li>
 BS/MS in Computer Science or an equivalent field with 2+ years of industry work experience
 </li>
 <li>
 Excellent knowledge of Computer Science fundamentals with strong competencies in data structures, algorithms, and coding
 </li>
 <li>
 Strong designing and building distributed backend systems handling high volumes of traffic
 </li>
 <li>
 Experience in handling ambiguous business requirements with excellent prioritization, time management abilities, and a focus on execution
 </li>
 <li>
 Passion to tackle exciting engineering problems and make continuous improvements
 </li>
 
 
 
 
 Nice to have:
 
 <li>
 Experience with cloud computing systems such as AWS, Azure, or Google Cloud Platform
 </li>
 <li>
 Experience in design and development using NoSQL, such as DynamoDB or Cassandra
 </li>
 <li>
 Experience with Redis, ElasticSearch, Kafka, and SparkExperience with Typescript
 </li>
 <li>
 Agile development methodology and CI/CD
 </li>
 <li>
 Experience with Docker containers
 </li>
 
 
 
 
 As A full-time employee you will enjoy:
 
 <li>
 Flexible Vacation, 10 Sick Days
 </li>
 <li>
 Time off to volunteer and charitable donations matched up to $15,000 annually&nbsp;
 </li>
 <li>
 Comprehensive health, vision, and dental coverage
 </li>
 <li>
 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
 </li>
 <li>
 100% paid parental leave (including for non-birthing parents) and family forming benefits
 </li>
 <li>
 Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
 </li>
 <li>
 Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
 </li>
 <li>
 Free subscription to Tinder Gold
 </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 salary range for this position is $160,000 - $180,000.&nbsp; 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 Palo Alto, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
 
</div>

Software Engineer, Backend

Onni Group of Companies

<div>
 
 Job Description
 
 
 
 The Director of Engineering is responsible for the strategic leadership, operational oversight, and technical performance of all building engineering teams, general maintenance contracts, and infrastructure systems across the Los Angeles portfolio. This role ensures that properties operate efficiently, sustainably, while supporting asset value, tenant satisfaction, and long-term capital planning. This includes Commercial, Residential and Hospitality divisions.
 
 
 The position provides leadership to Chief Engineers and building engineering teams, manages vendor relationships, oversees preventative maintenance and capital projects, and partners closely with Property Management, Asset Management, Construction, and Leasing teams.
 
 
 
 Perks &amp; Benefits
 
 
 
 When you feel good, you do good. At Onni we put your health at the forefront and give you the choice to select a benefits package that best represents you. From no cost to $18, $44, or $112 per pay our PPO, HSA, and HMO have you covered. In addition, we offer:
 
 
 <ul>
 <li>
 3 weeks PTO
 </li>
 <li>
 Annual education allowance of up to $1,000
 </li>
 <li>
 Referral program
 </li>
 <li>
 Residential housing discount after 1 year of continuous employment
 </li>
 <li>
 Friends and family rates for our Hotel Properties throughout the company
 
 
 </li>
 </ul>
 
 What Will You do?
 
 
 
 
 Portfolio Engineering Leadership
 
 
 
 <ul>
 <li>
 Provide leadership and direction to Chief Engineers, Assistant Engineers, and building engineering staff across the LA Onni portfolio.
 </li>
 <li>
 Establish consistent engineering standards, operating procedures, and best practices across all properties.
 </li>
 <li>
 Mentor and develop engineering staff, including performance management, succession planning, and technical training.
 </li>
 <li>
 Set standards and expectations for team and hold workmanship to a high standard.
 </li>
 <li>
 Potential to travel outside of California as position grows.
 
 
 </li>
 </ul>
 
 Building Operations &amp; Maintenance
 
 
 
 <ul>
 <li>
 Oversee daily operation, maintenance, and repair of all building systems, including HVAC, electrical, plumbing, life safety, vertical transportation, and building automation systems (BAS).
 </li>
 <li>
 Ensure execution of comprehensive preventative maintenance programs to minimize downtime and extend asset life.
 </li>
 <li>
 Lead emergency response planning and execution, including after-hours incidents and disaster preparedness.
 </li>
 <li>
 Implement AI across all properties and systems to ensure systems are operating as they should and making personal more efficient.
 
 
 </li>
 </ul>
 
 Regulatory Compliance &amp; Risk Management
 
 
 
 <ul>
 <li>
 Ensure compliance with all applicable codes and regulations, including:
 </li>
 <ul>
 <li>
 Los Angeles Department of Building and Safety (LADBS)
 </li>
 <li>
 Fire/Life Safety and OSHA requirements
 </li>
 <li>
 Title 24 energy regulations
 </li>
 <li>
 AQMD and environmental standards
 </li>
 </ul>
 <li>
 Oversee inspections, testing, certifications, and documentation for life safety systems and critical infrastructure.
 </li>
 <li>
 Partner with Risk Management on incident investigations and mitigation strategies.
 
 </li>
 </ul>
 
 Capital Planning &amp; Project Oversight
 
 
 
 <ul>
 <li>
 Involved in design and feedback on new developments and acquisitions.
 </li>
 <li>
 Collaborate with Asset Management and Construction on capital planning, equipment replacement schedules, and long-range engineering strategies.
 </li>
 <li>
 Provide technical due diligence for acquisitions, dispositions, and major lease transactions.
 </li>
 <li>
 Oversee engineering-related capital projects, including scope development, budgeting, scheduling, and contractor oversight.
 
 
 </li>
 </ul>
 
 Vendor &amp; Financial Management
 
 
 
 <ul>
 <li>
 Manage engineering-related operating budgets and capital expenditures.
 </li>
 <li>
 Negotiate and oversee service contracts (HVAC, fire systems, BAS, etc.).
 </li>
 <li>
 Track expenses, control costs, and identify efficiency opportunities without compromising reliability or safety.
 
 
 </li>
 </ul>
 
 Sustainability &amp; Energy Management
 
 
 
 <ul>
 <li>
 Support portfolio-wide sustainability initiatives, energy efficiency programs, and ESG goals.
 </li>
 <li>
 Monitor energy and water usage; identify opportunities for optimization and cost savings.
 </li>
 <li>
 Support local benchmarking and reporting requirements (e.g., LA Existing Buildings Energy &amp; Water Efficiency Program).
 
 
 </li>
 </ul>
 
 Tenant &amp; Stakeholder Relations
 
 
 
 <ul>
 <li>
 Partner with Property Management and Leasing to support tenant build-outs, special operational requirements, and retention efforts.
 </li>
 <li>
 Serve as senior technical escalation point for complex tenant or system issues.
 </li>
 <li>
 Communicate effectively with ownership, senior leadership, and external stakeholders.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What You Bring:
 
 
 
 <ul>
 <li>
 10+ years of progressive experience in commercial office building engineering or facilities management, including multi-building portfolio oversight.
 </li>
 <li>
 Demonstrated leadership experience managing engineering teams.
 </li>
 <li>
 Strong working knowledge of HVAC systems, electrical distribution, life safety systems, BAS, and central plant operations.
 </li>
 <li>
 In-depth familiarity with Los Angeles building codes, Title 24, and local regulatory agencies.
 </li>
 <li>
 Posses a valid driver&rsquo;s license with good driving record.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Professional Engineer (PE), Certified Facility Manager (CFM), or similar certification.
 </li>
 <li>
 Experience with Class A office assets and large, mixed-use or institutional portfolios.
 </li>
 <li>
 Experience supporting major capital projects and repositioning initiatives.
 </li>
 <li>
 Familiarity with sustainability programs, energy benchmarking, and ESG reporting.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Frequent travel between portfolio assets in the Los Angeles region
 </li>
 <li>
 On-call availability for emergencies and critical building issues
 </li>
 <li>
 Combination of office-based, on-site, and field work
 
 
 </li>
 </ul>
 
 Salary Range
 
 
 
 $150,000- 160,000
 
 
 
 About The Company
 
 
 
 
 Onni
 
 
 
 For over half a century, Onni has been building communities for people to live, work, and play. Our success reflects our commitment to our employees and partners, and our dedication to quality construction, innovation, sustainability, and customer satisfaction. Our expertise expands across North America, with offices in Vancouver, Toronto, Los Angeles, Seattle, Phoenix, and Chicago.
 
 
 
 AI Use
 
 
 
 This role may involve the use of artificial intelligence (AI) tools to support research, analysis, content development, design, reporting, or operational efficiency. Employees are expected to use AI responsibly and in compliance with company policies, data privacy requirements, confidentiality obligations, and applicable laws.
 
 
 All AI-generated or AI-assisted outputs must be reviewed for accuracy, quality, and appropriateness before use. Employees are also expected to disclose when AI tools have been used in the creation of work and must not present AI-generated content as solely their own original work.
 
 
 
 How To Apply
 
 
 
 
 Please apply through the link on the job posting and attach your resume and any other required documents.
 
 
 
 
 We thank all applicants for your interest in the Onni Group. Note that only those applicants under consideration will be contacted.
 
</div>

Director of Engineering and Building Systems

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

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