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databricks data engineer with devops skills

Persistent Systems

<div>
 <p>
  <strong>
   About Persistent
  </strong>
 </p>
 <p>
  We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what&rsquo;s next. Our offerings and proven solutions create unique competitive advantage for our clients by giving them the power to see beyond and rise above.
 </p>
 <p>
  We are experiencing tremendous growth, with
  <strong>
   $566 million in revenue
  </strong>
  in FY21, representing
  <strong>
   12.9% year-over-year growth.
  </strong>
  Along with that growth, we onboarded
  <strong>
   over 3,000 new employees
  </strong>
  in the past year,
  <strong>
  </strong>
  bringing our total employee count to over
  <strong>
   15,000 people
  </strong>
  located in
  <strong>
   18 countries
  </strong>
  across the globe.
 </p>
 <p>
  At Persistent, our values are more than a list of ideals to improve our corporate image. We&rsquo;re dedicated to building an inclusive culture that reflects what&rsquo;s important to our employees and is based on what they value. As a result,
  <strong>
   95% of our employees
  </strong>
  approve of the CEO and
  <strong>
   83% recommend
  </strong>
  working at Persistent to a friend.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Position:
  </strong>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role: Databricks Data Engineer with DevOps Skills
  </strong>
 </p>
 <p>
  <strong>
   Location: Los Angeles CA (Hybrid)
  </strong>
 </p>
 <p>
  <strong>
   Hire Type: Fulltime /Contract
  </strong>
 </p>
 <p>
  <strong>
   Experience: 8+ years of experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Do:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Expertise You'll Bring:
  </strong>
 </p>
 <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>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2. DevOps &amp; CI/CD
  </strong>
 </p>
 <ul>
  <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>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3. Collaboration &amp; Business Support
  </strong>
 </p>
 <ul>
  <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   4. Performance &amp; Optimization
  </strong>
 </p>
 <ul>
  <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>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   5. Governance &amp; Security
  </strong>
 </p>
 <ul>
  <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary and benefits package
  </li>
  <li>
   Culture focused on talent development with quarterly promotion cycles 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 &lsquo;Long Service&rsquo; awards
  </li>
  <li>
   Annual health check-ups as well as insurance:
  </li>
  <li>
   Group term life insurance
  </li>
  <li>
   Personal accident insurance
  </li>
  <li>
   Mediclaim hospitalization insurance for self, spouse, two children, and parents
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Why Persistent is an employer of choice
 </p>
 <ul>
  <li>
   <strong>
    Technology Innovation:
   </strong>
   culture of innovation using cutting-edge technology to bring value to clients.
  </li>
  <li>
   <strong>
    Growth and Career Progression:
   </strong>
   learning opportunities for growth, including quarterly promotion cycles.
  </li>
  <li>
   <strong>
    One Persistent Culture:
   </strong>
   global outlook with diversity and inclusion at its core.
  </li>
  <li>
   <strong>
    Mental and Physical Wellness:
   </strong>
   employee health and mindfulness programs
  </li>
 </ul>
</div>


Databricks Data Engineer with DevOps Skills

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent</b></p><br>
<p></p>
<p>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.</p><br>
<p></p>
<p>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?<i>?</i> Assessment 2025.</p><br>
<p></p>
<p><b>About Position:</b></p><br>
<p></p>
<p>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.</p><br>
<p></p>
<ul><li><b>Role: Databricks Data Engineer (DevOps)</b></li>
<li><b>Location: Los Angeles CA</b></li>
<li><b>Experience: 8+ Years</b></li>
<li><b>Job Type: Fulltime /Contract</b></li></ul><br>
<p>
</p><p><b>What You'll Do:</b></p><br>
<p></p>
<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><br>
<p>
</p><p><b>Expertise You'll Bring:</b></p><br>
<p></p>
<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><b>DevOps &amp; CI/CD</b></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><b>Collaboration &amp; Business Support</b></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>
<p><b>Expertise You'll Bring:</b></p>
<ul><li><b>Performance &amp; Optimization</b></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><b>Governance &amp; Security</b></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><br>
<p>
</p><p><b>Benefits:</b></p><br>
<p></p>
<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><br>
<p>
</p><p><b>Values-Driven, People-Centric &amp; Inclusive Work Environment:</b></p><br>
<p></p>
<p>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.</p><br>
<p></p>
<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><br>
<p>
</p><p><b>Let's unleash your full potential at Persistent - </b><b>persistent.com/careers</b></p><br>
<p></p>
<p><b><i>&quot;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&quot;</i></b></p>
</div></div></div></div><div></div><div><div><div><p><b>
1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>Databricks,DevOps</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>Los Angeles, CA, USA</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>Databricks,DevOps</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>8 to 16 years</b></p></div><div><div>
Years Of Exp
</div></div></div></div><div><div><div><p><b>168721</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

Databricks Data Engineer (DevOps)

Fox Corporation

<div><div><b>OVERVIEW OF THE COMPANY</b></div><div></div><h2 class="jobSectionHeader"><b>
JOB DESCRIPTION</b></h2><div>
As a Software Engineer, you will help build an intelligent execution layer that redefines how ad sales operates. This is not a traditional application role. You will develop systems that sit above core platforms, using AI, ML, and data to drive smarter decisions, automation, and measurable revenue lift.</div><div></div><div>
You will work on a greenfield problem space, designing how agents, models, and services interact to power workflows across planning, optimization, and activation. This includes building abstraction layers on top of system-of-record data and enabling flexible, AI-driven applications that evolve with the business.</div><div></div><div>
You will operate in a distributed, multi-cloud environment including AWS, GCP, and Databricks, contributing to systems that are both experimental and production-critical.</div><div></div><div><b>
A SNAPSHOT OF YOUR RESPONSIBILITIES</b></div><ul><li><div>
Build intelligent systems that connect data, models, and services into cohesive workflows.</div></li><li><div>
Develop orchestration layers that enable agent-driven automation and decisioning.</div></li><li><div>
Design APIs and services that expose data and intelligence in flexible, reusable ways.</div></li><li><div>
Rapidly prototype new ideas and translate them into production-grade systems.</div></li><li><div>
Work closely with product and business partners to identify high-leverage opportunities.</div></li><li><div>
Continuously improve system performance, scalability, and adaptability.</div></li></ul><div></div><div><b>
WHAT YOU WILL NEED</b></div><ul><li><div>
Strong foundation in software engineering and distributed system design.</div></li><li><div>
Experience building data-driven or ML-powered applications in production environments.</div></li><li><div>
Familiarity with modern AI systems, including LLMs and retrieval-based architectures.</div></li><li><div>
Experience designing APIs and working within service-oriented or microservices architectures.</div></li><li><div>
Comfort working with cloud infrastructure such as AWS, GCP, or Databricks and data pipelines.</div></li><li><div>
Ability to move between ambiguity and execution, building with both speed and intent.</div></li><li><div>
Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.</div></li></ul><div></div><div><b>
NICE TO HAVE, BUT NOT A DEALBREAKER</b></div><ul><li><div>
Experience with agent orchestration or workflow frameworks.</div></li><li><div>
Familiarity with vector databases and retrieval systems.</div></li><li><div>
Exposure to decisioning systems, optimization problems, or revenue-focused platforms.</div></li><li><div>
Proficiency in Python, Java, or similar languages.</div></li><li><div>
Experience with CI/CD and infrastructure-as-code.</div></li></ul><div></div><div><b>
ABOUT YOU</b></div><ul><li><div>
You think in systems, not just features.</div></li><li><div>
You are motivated by impact, not just implementation.</div></li><li><div>
You can navigate ambiguity and help define the right solution, not just build it.</div></li><li><div>
You communicate clearly and work effectively across engineering, product, and business.</div></li><li><div>
You are curious about how AI can fundamentally change how work gets done.</div></li></ul><div></div><div><b>
WHY JOIN US?</b></div><ul><li><div>
Own high-leverage problems with direct revenue impact.</div></li><li><div>
Build in a greenfield space with modern AI and ML tooling.</div></li><li><div>
Work on systems that will define how the business operates going forward.</div></li><li><div>
Collaborate with a team that values speed, clarity, and technical rigor.</div></li></ul><div></div><div>
If you want to build systems that do not just support the business but reshape it, we would love to talk.</div><div></div><div>
#Ll-KD1</div><div>
#Ll-Hybrid</div><div></div><div>
Learn more about Fox Tech at <div>https://tech.fox.com</div></div>
#foxtech<div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div><div></div>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $92,000.00-140,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<div></div><div><div>
View more detail about FOX Benefits.</div></div></div>

Software Engineer, Data Products

<div><div><b>OVERVIEW OF THE COMPANY</b></div><div></div><h2 class="jobSectionHeader"><b>
JOB DESCRIPTION</b></h2><div>
As a Senior Software Engineer, you will play a pivotal role in building next-generation AI-driven applications, services, and tools that transform how ad sales operates. You will leverage your experience in AI/ML and data systems to develop intelligent workflows that unlock new revenue opportunities and optimize business outcomes.</div><div></div><div>
You will work across a modern, distributed ecosystem&mdash;designing orchestration layers that connect system-of-record data with AI/ML models, microservices, and custom applications. This includes building agent-driven workflows, retrieval systems, and scalable services that power decisioning, automation, and insight generation across the ad sales lifecycle.</div><div></div><div>
Your expertise in multi-cloud environments such as AWS, GCP, and Databricks will be critical as we build a flexible, extensible platform that enables rapid innovation and measurable business impact.</div><div></div><div><b>
WHY JOIN US?</b></div><ul><li><div>
Innovative Environment: Build AI-powered systems that directly impact revenue and business performance.</div></li><li><div>
Collaborative Culture: Partner with product, data, and business teams to shape next-gen workflows.</div></li><li><div>
Career Growth: Work on high-visibility initiatives with strong ownership and advancement opportunities.</div></li><li><div>
Impactful Work: Help redefine how data and AI drive decision-making in a core business function.</div></li></ul><div></div><div><b>
ABOUT YOU</b></div><ul><li><div>
Balanced Skill Set: Able to navigate complex systems and trade-offs across engineering, data, and business contexts.</div></li><li><div>
Strong Communicator: Clearly articulate technical concepts and influence cross-functional stakeholders.</div></li><li><div>
Business-Oriented: Passionate about translating business problems into scalable technical solutions.</div></li><li><div>
Curious Builder: Energized by emerging AI capabilities and applying them to real-world workflows.</div></li></ul><div></div><div><b>
A SNAPSHOT OF YOUR RESPONSIBILITIES</b></div><ul><li><div>
Design and implement scalable AI/ML-driven applications that support core ad sales workflows.</div></li><li><div>
Build intelligent orchestration layers that integrate data systems, models, and services.</div></li><li><div>
Develop agent-based and retrieval-driven systems to power automation and decision support.</div></li><li><div>
Prototype new approaches and productionize solutions that drive measurable business impact.</div></li><li><div>
Collaborate closely with product, data, and business stakeholders to define and deliver solutions.</div></li><li><div>
Maintain high engineering standards while operating in a fast-paced, iterative environment.</div></li><li><div>
Mentor and support other engineers on the team.</div></li></ul><div></div><div><b>
WHAT YOU WILL NEED</b></div><ul><li><div>
Experience in Software Engineering, Data Science, or ML Engineering.</div></li><li><div>
Strong understanding of distributed systems and scalable architecture.</div></li><li><div>
Experience building data-driven applications leveraging AI/ML models.</div></li><li><div>
Familiarity with modern AI techniques, including LLMs and retrieval-based systems.</div></li><li><div>
Experience designing APIs (REST or GraphQL) and microservices.</div></li><li><div>
Proficiency in building batch and streaming data pipelines on cloud platforms.</div></li><li><div>
Experience working in cloud environments such as AWS, GCP, or Databricks.</div></li><li><div>
Ability to work efficiently and deliver in a fast-paced, product-driven environment.</div></li><li><div>
Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.</div></li></ul><div></div><div><b>
NICE TO HAVE, BUT NOT A DEALBREAKER</b></div><ul><li><div>
Experience with agent orchestration frameworks or workflow engines.</div></li><li><div>
Background in ad tech, sales systems, or revenue optimization platforms.</div></li><li><div>
Familiarity with vector databases and retrieval systems.</div></li><li><div>
Experience building internal platforms or decisioning systems for business teams.</div></li><li><div>
Proficiency in Python, Java, or similar languages.</div></li><li><div>
Experience with CI/CD and infrastructure-as-code.</div></li></ul><div></div><div>
If you're excited about applying AI to transform business workflows and drive real revenue impact, we&rsquo;d love to hear from you.</div><div></div><div>
#Ll-Hybrid</div><div>
#Ll-KD1</div><div></div><div>
Learn more about Fox Tech at <div>https://tech.fox.com</div></div>
#foxtech<div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div><div></div>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-186,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<div></div><div><div>
View more detail about FOX Benefits.</div></div></div>

Senior Software Engineer, Data Products

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.
 <br/>
 <br/>
 <strong>
  Culture at Scribd, Inc.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 This posting reflects an approved, open position within the organization.
 <br/>
 <br/>
 <strong>
  About The Role &amp; Team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Key Attributes For Success
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Have
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 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].
 <br/>
 <br/>
 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].
 <br/>
 <br/>
 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].
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Working at Scribd, Inc.
  <br/>
  <br/>
 </strong>
 <strong>
  Are you currently based in a location where Scribd, Inc. can employ you?
  <br/>
  <br/>
 </strong>
 Employees must have their
 <strong>
  primary residence in or near
 </strong>
 one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:
 <br/>
 <br/>
 <strong>
  United States
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Canada
  <br/>
  <br/>
 </strong>
 Ottawa | Toronto | Vancouver
 <br/>
 <br/>
 <strong>
  Mexico
  <br/>
  <br/>
 </strong>
 Mexico City
 <br/>
 <br/>
 <strong>
  Benefits At Scribd, Inc.
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Get to Know Scribd, Inc.
  <br/>
  <br/>
 </strong>
 <strong>
  About Scribd, Inc.
  <br/>
  <br/>
 </strong>
 <strong>
  Life at Scribd, Inc.
  <br/>
  <br/>
 </strong>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <em>
  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.
 </em>
</div>


Senior Data Analyst - Customer Operations

Emonics LLC

<div>
 <p>
  Job Overview:
 </p>
 <p>
  We are seeking a Data Engineer to support data pipeline development and ETL processes.
 </p>
 <p>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
 </p>
 <p>
  Build and maintain ETL pipelines
 </p>
 <p>
 </p>
 <p>
  Optimize database performance
 </p>
 <p>
 </p>
 <p>
  Work with structured and unstructured data
 </p>
 <p>
 </p>
 <p>
  Ensure data integrity
 </p>
 <p>
 </p>
 <p>
  Requirements:
 </p>
 <p>
 </p>
 <p>
  Degree in Data Engineering or related field
 </p>
 <p>
 </p>
 <p>
  Knowledge of SQL, Python
 </p>
 <p>
 </p>
 <p>
  Familiarity with data warehousing concepts
 </p>
</div>


Entry Level Data Engineer

The Data Sherpas

<div><p><b>Who We Are:</b></p>
<p>
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.</p><p></p><p><b><br>
What We Are Looking For:</b></p>
<p>
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.</p><p></p><p><b><br>
Responsibilities:</b></p>
<p><i>
Data Pipeline Development and Management:</i></p>
<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><br>
<p></p>
<p><i>
Data Storage and Management:</i></p>
<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><br>
<p></p>
<p><i>
Data Transformation and Processing:</i></p>
<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><br>
<p></p>
<p><i>
Data Integration and Automation:</i></p>
<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><br>
<p></p>
<p><i>
Collaboration and Stakeholder Engagement:</i></p>
<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><br>
<p></p>
<p><i>
Performance Monitoring and Troubleshooting:</i></p>
<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><br>
<p></p>
<p><b>
Qualifications:</b></p>
<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><br>
<p></p>
<p><b>
Preferred Skills:</b></p>
<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><br>
<p></p>
<p><b>
What We Offer:</b></p>
<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><br>
<p></p>
<p>
Join us and be part of a team building innovative and scalable data solutions on Amazon Web Services!</p><p></p><p><br>
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.</p><p></p><p><i><br>
We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.</i></p></div>

Data Engineer - AWS (Snowflake)

Explore 668+ Databricks data engineer with devops skills in Los Angeles this April. Find roles across top companies and apply now to boost your career.