The US remains the highest-paying market for tech globally. Major hubs include the San Francisco Bay Area, New York, Seattle, Austin, and Boston, plus fully remote-first companies headquartered across the country.
Extract, validate, and transform SAP MM data (tables, reports, and transactional data) to support KPI reporting needs. Basic Experience with Power BI for data visualization and reporting.
Work for Our Water Resources. Help protect one of Florida’s most vital resources — water — with a career at the Southwest Florida Water Management District (District).
Wandata Tech is hiring Data Analyst in Chicago, IL! Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-engineer-at-fairlife-llc-4371063234","jobId":"4371063234","label":"Data…
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Wandata Tech is hiring Data Analyst in Chicago, IL! Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-engineer-at-fairlife-llc-4371063234","jobId":"4371063234","label":"Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-analyst-at-supplyscape-4364492198","jobId":"4364492198","label":"Data Analyst"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/staff-data-analyst-at-synapticure-4343374947","jobId":"4343374947","label":"Staff Data Analyst"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-analyst-at-peoplecaddie-4346302827","jobId":"4346302827",...
Job Description Underwriter Data Analyst is responsible for achieving profit, growth, service and expense objectives through the financial analysis and pricing of organizations book of business. 1-2 years of related…
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Job Description Underwriter Data Analyst is responsible for achieving profit, growth, service and expense objectives through the financial analysis and pricing of organizations book of business. 1-2 years of related work experience in Finance or Accounting, (PBM industry experience a plus).
Data Management: Update and maintain relational databases; manage seamless data distribution across multiple platforms and environments. Data Literacy: Basic understanding of relational databases, data joining/linking,…
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Data Management: Update and maintain relational databases; manage seamless data distribution across multiple platforms and environments. Data Literacy: Basic understanding of relational databases, data joining/linking, and File Transfer Protocols (FTP/sFTP).
[Industry: Non-profit Organizations | Type: Full-time | Level: Mid-Senior level] SAE Industry Technologies Consortia (ITC), Performance Review Institute (PRI) and SAE International (SAE), deliver shared solutions to…
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[Industry: Non-profit Organizations | Type: Full-time | Level: Mid-Senior level] SAE Industry Technologies Consortia (ITC), Performance Review Institute (PRI) and SAE International (SAE), deliver shared solutions to industry's common challenges.Join
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] SeatGeek believes live events are powerful experiences that unite humans. With our…
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[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attit
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be…
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As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management: Innovation Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization Drive analysis that provides meaningful insights on business strategies Data Management Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance Build and execute tools to monitor and report on data quality Our ideal candidate will have: Degree specialized in a Science, Technology, Engineering, Mathematics discipline Scripting experience in (Python, R, Spark, and SQL) Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) Experience utilizing and developing within Snowflake services Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
[Applicants: Over 200 applicants | Industry: Real Estate | Type: Full-time | Level: Mid-Senior level] Inside Real Estate is a fast-growing, independently-owned real estate software firm that serves as a trusted…
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[Applicants: Over 200 applicants | Industry: Real Estate | Type: Full-time | Level: Mid-Senior level] Inside Real Estate is a fast-growing, independently-owned real estate software firm that serves as a trusted technology partner to over 500,000 top
Accountabilities Conduct complex analytic studies using statistical techniques against various healthcare data. Proficiency in analyzing healthcare data, including pharmacy claims.
Core Responsibilities Data Collection & Management Aggregate data from operational systems (ERP, CRM, business performance databases) and support data integrity checks. Strong skills in Excel, data modeling, and data…
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Core Responsibilities Data Collection & Management Aggregate data from operational systems (ERP, CRM, business performance databases) and support data integrity checks. Strong skills in Excel, data modeling, and data visualization.
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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