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Discover Jobs (NOW HIRING)

Global eDiscovery Lead

San Jose, CA · On-site

$210K - $390K/yr

Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities ...

Working At Discovery

Newark, NJ · On-site

$15.75 - $19/hr

OVERVIEW OF DISCOVERY CHARTER SCHOOL Discovery is a small, non-traditional public charter school serving 100 children from fourth to eighth grade in Newark, New Jersey, founded in 1999 by two veteran ...

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How much do discover jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for discover in the United States is $17.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $18.75 per hour, depending on experience, location, and employer.

What is the difference between Discover vs Data Analyst?

AspectDiscoverData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentData collection, entry, and basic analysis in various industriesAnalyzing data sets, creating reports, and supporting decision-making
Employer & Industry UsageMarket research firms, retail, finance, healthcareBusiness, finance, marketing, healthcare sectors
Search & Comparison IntentUnderstanding entry-level data roles, basic data tasksIn-depth data analysis, reporting, and insights generation

Discover roles typically involve data collection and basic analysis, often requiring minimal formal education. Data Analysts perform more complex data interpretation, reporting, and insights generation, usually with a degree in a related field. Both roles are essential in data-driven industries but differ in scope and skill level.

How do I find legitimate remote jobs?

Discovering legitimate remote jobs involves using reputable job boards, company career pages, and professional networks. Verify the company's legitimacy by researching reviews and avoiding listings that require upfront payments or seem suspicious. Skills in remote communication tools and a clear understanding of job requirements can also help identify genuine opportunities.

What are the key skills and qualifications needed to thrive as a Discover Financial Services employee, and why are they important?

To thrive at Discover Financial Services, you generally need a solid background in finance, customer service, and data analysis, often supported by a relevant degree or experience in banking or financial services. Familiarity with financial software, CRM systems, and regulatory compliance tools is typically expected. Strong communication, problem-solving abilities, and a customer-centric mindset help employees stand out in this environment. These skills ensure efficient service delivery, compliance with industry standards, and the ability to build positive customer relationships in a competitive financial landscape.

Does Discover do remote work?

Discover offers remote work opportunities for certain roles, especially in customer service, technology, and support positions. The availability of remote work depends on the specific job and department, and candidates should review individual job postings for remote options.

What are Discover jobs?

Discover jobs refer to employment opportunities at Discover Financial Services, a leading digital banking and payment services company. These roles span various departments, including customer service, technology, finance, marketing, and operations. Working at Discover typically involves helping customers manage their credit cards, loans, and banking needs, or supporting the technology and business operations that power these services. Discover is known for its inclusive culture, employee benefits, and commitment to professional development.

What is the hiring process for Discover?

The hiring process for Discover typically involves submitting an online application, completing initial phone or video interviews, and participating in in-person interviews or assessments. Candidates may also undergo background checks and skills evaluations relevant to the role, with the process varying by position and location.

What are some common challenges faced by professionals working in a discovery (e-discovery) role within legal teams?

Professionals in e-discovery roles often face challenges related to managing large volumes of electronic data under tight deadlines. Staying current with evolving regulations and emerging technologies is essential, as legal standards for data collection and preservation frequently change. Collaborating effectively with attorneys, IT specialists, and external vendors is critical to ensure the integrity and security of sensitive information throughout the discovery process. Problem-solving skills and adaptability are key to navigating unexpected issues, such as incomplete data sets or complex data formats.

Is Discover Card a good company to work for?

Discover offers a range of roles including customer service, finance, and technology positions, with a focus on employee benefits and work environment. The company is generally regarded as a stable employer with opportunities for career growth and skill development. However, experiences can vary based on the specific role and location.
More about Discover jobs
What cities are hiring for Discover jobs? Cities with the most Discover job openings:
What states have the most Discover jobs? States with the most job openings for Discover jobs include:
Infographic showing various Discover job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,581 per year, or $17.6 per hour.
Senior Backend Engineer, Connectors & Discover

Senior Backend Engineer, Connectors & Discover

Zendesk

Madison, WI

$123K - $162K/yr

Full-time

Posted 28 days ago


Job description

Job Description

Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection. We're seeking a Senior Backend Engineer to own the data layer that powers Zendesk's AI products. In this role, you'll build and scale integrations and analytics infrastructure that transform raw support data into trusted automation recommendations - directly enabling customers to reduce support costs and improve customer outcomes.

What you'll be doing

  • Design, build, and maintain robust platform connectors (ETL: Client Extractor Transformer Loader) across thirdparty systems, handling auth, pagination, rate limits, and schema drift.

  • Extend and scale the Discover insights engine: clustering topics, detecting knowledge gaps, calculating deflection/opportunity impact, and surfacing automation recommendations.

  • Build and operate resilient data pipelines: real-time webhooks, incremental sync, reindexing, and metrics aggregation with worker queues.

  • Design, optimize, and maintain search indices and aggregation pipelines for full-text, vector, and hybrid search at scale.

  • Solve distributed systems problems around multi-tenant isolation, webhook security, incremental sync correctness, and fault-tolerant processing.

  • Collaborate with product, ML, and design to turn analytics outputs into reliable, explainable customer-facing metrics and recommendations.

What you bring to the role

  • Strong backend engineering instincts and ownership mindset; you take systems from prototype to production-grade.

  • Deep experience building data pipelines or integration platforms with attention to correctness and observability.

  • Practical knowledge of search and analytics infrastructure powering RAG and retrieval features.

  • Experience with distributed job processing patterns and worker queue design.

  • A collaborative approach for working with product, data science, and customer-facing teams to deliver measurable ROI.

Basic qualifications

  • 3+ years professional backend engineering experience, ideally in B2B SaaS.

  • Proficient in Python and backend frameworks (we use FastAPI).

  • Production experience with MongoDB, Elasticsearch/OpenSearch, and Redis.

  • Experience designing and operating distributed job processing (RQ, Celery, or similar).

Preferred qualifications

  • Experience with ETL/orchestration tools (Dagster, Airflow) and S3-based storage patterns.

  • Familiarity with NLP pipelines, embeddings, or production RAG systems.

  • Experience with system design for multi-tenant SaaS and webhook security (HMAC/OAuth).

  • Prior work on analytics engines that translate metrics into product recommendations.

The US annualized base salary range for this position is $174,000.00-$260,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.