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.
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Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest Visualize, interpret, and report data findings in dynamic reports Employ a variety…
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Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest Visualize, interpret, and report data findings in dynamic reports Employ a variety of data manipulation and visualization tools to effectively convey current status and historical trends to leadership, users, and data team Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable Comfortable working with data in a variety of formats including Excel, CSV, JSON, and XML Support the incident management process to ensure that incidents documented and resolved quickly. Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data…
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In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data…
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In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data…
Read full description
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.…
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Responsibilities Conduct model validations including evaluating model conceptual soundness, assessing data appropriateness, reviewing statistical and analytical testing, outcome evaluation and performance monitoring Provide subject matter expertise to identify models’ key assumptions, limitations and weaknesses, and recommend practical solutions to mitigate model risk Develop benchmark/challenger models to assess strength of model under review Prepare and present clear, thorough reports to model developers and model owners explaining the analysis performed, results of the analysis and recommendations for improvement Design, develop, and evaluate large and complex predictive models and advanced algorithms if needed Test hypotheses/models, analyze, and interpret results Develop actionable insights and recommendations Develop and code complex software programs, algorithms, and automated processes Use evaluation, judgment, and interpretation to select right course of action Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets Transform data into charts, tables, or format that aids effective decision making Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders Develop and maintain strong working relationships with team members, subject matter experts, and leaders Lead moderate to large projects and initiatives Model best practices and ethical AI W...
They are responsible for the design and development of data/batch processing, data manipulation, data mining, and data extraction/transformation/loading into large data domains using Python/Pyspark and AWS tools. Design…
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They are responsible for the design and development of data/batch processing, data manipulation, data mining, and data extraction/transformation/loading into large data domains using Python/Pyspark and AWS tools. Design and develop data/batch processing, data manipulation, data mining, and data extraction/transformation/loading (ETL Pipelines) into large data domains.
Minimum Years of Experience: 8 years Certifications Needed: Karat assessment Top 3 responsibilities you would expect the Subcon to shoulder and execute: Interview Process (Is face to face required?) No Show less…
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Minimum Years of Experience: 8 years Certifications Needed: Karat assessment Top 3 responsibilities you would expect the Subcon to shoulder and execute: Interview Process (Is face to face required?) No Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/sr-engineer-software-developer-at-lpl-financial-4362971606","jobId":"4362971606","label":"Sr Engineer, Software Developer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-software-engineer-at-total-quality-logistics-4360435382","jobId":"4360435382","label":"Senior Software Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/sr-software-engineer-javascript-node-js-aws-at-ryan-consulting-group-llc-4361922462","jobId":"4361922462","label":"Sr Software Engineer - JavaScript/Node.Js/AWS"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/sr-backend-software-engineer-python-at-terakeet-4370577765","jobId":"4370577765","label":"Sr. Backend Software Engineer (Python)"},{"type":"people_also_viewed","href":"https:...
Experience/Knowledge: Apache Spark, Scala, Azure Databricks 10+ Data-Principal Engineer / 7-9yrs Experience 9+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing…
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Experience/Knowledge: Apache Spark, Scala, Azure Databricks 10+ Data-Principal Engineer / 7-9yrs Experience 9+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in data analytics, warehousing, and data engineering. Working experience in data analytics (data wrangling, mining, integration, analysis, visualization, data modeling, analysis/analytics, and reporting).
Collaborates with data architect to create conceptual, logical, and physical data models for reporting databases. Acts as a technical resource for application and data users, data administrators and others.
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.
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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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