Data science roles bridge statistics, programming, and business intelligence. Demand is strong across all sectors (from fintech to e-commerce), with Python, SQL, and cloud data platforms (Snowflake, BigQuery, dbt) as the core stack.
Spark expertise is a prerequisite. Minimum Qualifications Demonstrated expertise in designing and implementing relational and medallion data architectures Demonstrated expertise in the design and implementation of…
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Spark expertise is a prerequisite. Minimum Qualifications Demonstrated expertise in designing and implementing relational and medallion data architectures Demonstrated expertise in the design and implementation of production data pipelines at scale Demonstrated proficiency with JVM languages (Scala or Java preferred), Golang, or Swift Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with data modeling 5+ years of experience with JVM languages: Java or Scala 5+ years experience with big data platforms Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases Knowledge engineering expertise including semantic models and knowledge graphs Experience working with cloud compute environments like OpenStack, AWS, and Azure Experience mentoring engineers, conducting code reviews, and contributing to technical best practices and documentation Knowledge of data quality frameworks and validation techniques Knowledge of data governance and compliance frameworks Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined wit...
Experience in digital media or performance marketing industries Advanced SQL and Looker proficiency. EXPERIENCE: Minimum of 5 years in business intelligence or analytics in digital media or performance marketing.
Easy Apply now by clicking the "Easy Apply" button and sending us your resume.Salary $140,000 - $170,000 per yearA Bit About UsWe’re a global leader in data and AI/ML services and one of the fastest-growing companies in…
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Easy Apply now by clicking the "Easy Apply" button and sending us your resume.Salary $140,000 - $170,000 per yearA Bit About UsWe’re a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. You’ll work alongside some of the brightest minds in data engineering and AI/ML — all driven by a shared passion to solve the toughest data challenges for leading global enterprises.Why join us?Competitive Compensation $140,000 – $190,000+ base salary (depending on experience)Remote-First Work from anywhere in the US with occasional customer-site travel nationwideMassive Growth Be part of a company growing 40% YOY, creating career advancement opportunitiesCutting-Edge Tech Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and moreAward-Winning Culture Collaborative, inclusive, and committed to professional developmentLearning & Development Accelerated training, advanced certifications, and exposure to AI/ML innovationTime Off & Benefits 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perksJob DetailsWe’re seeking a Solutions Architect who thrives at the intersection of data engineering solutions.
About Pryon: We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology ...Read more
Responsibilities Enterprise Architecture Strategy: Serve as the Technical Authority for the Data Pillar, defining the high-level architecture for data discovery, classification, and protection across NIPR, SIPR, and Top…
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Responsibilities Enterprise Architecture Strategy: Serve as the Technical Authority for the Data Pillar, defining the high-level architecture for data discovery, classification, and protection across NIPR, SIPR, and Top Secret networks. ABAC & Identity Integration: Design the integration points between the Data Pilla...
Qualifications & Skills: 10+ years of experience in data analysis, with exposure to data science concepts. Regards, Manvendra Singh Cell: 551-290-7837 manvendra.singh1@incedoinc.com Show less…
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Qualifications & Skills: 10+ years of experience in data analysis, with exposure to data science concepts. Regards, Manvendra Singh Cell: 551-290-7837 manvendra.singh1@incedoinc.com Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/power-bi-at-anblicks-4316372259","jobId":"4316372259","label":"Power BI"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-annotator-for-ai-models-spanish-united-states-at-rws-group-4370280800","jobId":"4370280800","label":"Data Annotator for AI models - Spanish (United States)"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/junior-data-engineer-at-mod-op-4306635567","jobId":"4306635567","label":"Junior Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/glt-data-analyst-at-unleashed-brands-4356126709","jobId":"4356126709","label":"GLT Data Analyst"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/supply-chain-data-analyst-at-terrepower-formerly-bbb...
Qualifications 5+ years of experience in data engineering, machine learning, or AI deployment. Education Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
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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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