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.
[Applicants: Over 200 applicants | Industry: Entertainment Providers | Type: Full-time | Level: Not Applicable] At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the…
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[Applicants: Over 200 applicants | Industry: Entertainment Providers | Type: Full-time | Level: Not Applicable] At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, gl
Data Engineer Location: Santa Clara County Data Engineer with strong AWS + Python/SQL, who builds scalable pipelines for ML training and has experience with large sensor or simulation datasets. Visa: USC OR GC H1 15+…
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Data Engineer Location: Santa Clara County Data Engineer with strong AWS + Python/SQL, who builds scalable pipelines for ML training and has experience with large sensor or simulation datasets. Visa: USC OR GC H1 15+ exp Show less
Role: Data Engineer Location: NYC, Sunnyvale CA, Austin TX Hybrid Fulltime Position Job Description: Need who can lead team and is technically hands on Good Expertise in handling Data warehouse related aspects In-depth…
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Role: Data Engineer Location: NYC, Sunnyvale CA, Austin TX Hybrid Fulltime Position Job Description: Need who can lead team and is technically hands on Good Expertise in handling Data warehouse related aspects In-depth expertise in Snowflake Strong knowledge in Python/SQL/DBT etc Good knowledge in AWS and its associated services Good Exposure in CI/CD Devops Good Analystical & customer interaction skills s. Show less
Primary Job TitleData Engineer - Mid-LevelAlternate / Related Job Titles Senior Data Engineer Data Analysis Engineer Analytics Data Engineer Business Intelligence Data Engineer Data Modeling Engineer Location & Onsite…
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Primary Job TitleData Engineer - Mid-LevelAlternate / Related Job Titles Senior Data Engineer Data Analysis Engineer Analytics Data Engineer Business Intelligence Data Engineer Data Modeling Engineer Location & Onsite FlexibilityFramingham, MA RemoteContract Details Position Type: Contract Contract Duration: 12 months Start: As Soon As Possible Pay Rate: $60 - $70/hr Job SummaryThe Data Engineer is accountable for designing, building, and maintaining data pipelines and data models supporting projects within the Corporate Risk Assurance Data and Systems environment. This role serves as a lead engineering partner, collaborating closely with Data Analysis teams, IT, developers, and business partners to drive solution design and oversee technical delivery.The ideal candidate brings strong technical leadership, hands-on engineering expertise, and the ability to translate complex business requirements into scalable, secure, and performant data solutions.Key Responsibilities Design, develop, test, catalog, and maintain data software and pipeline solutions for Corporate Risk and Compliance Analyze raw data sets across multiple data technologies and environments Combine and transform data from diverse sources and file formats Identify opportunities for new data acquisition and optimization Ensure solutions align with enterprise IT strategy and architecture roadmaps Deliver clean, secure, and high-performing code that meets non-functional requirements Participate in design reviews, peer code reviews, and impact assessment sessions Create test data, documentation, and support deployments for small to medium complexity solutions Work within an Agile framework, continuously improving development processes Lead data modeling, design discussions, and guide developers and analysts Maintain broad knowledge of analytics applications and self-service reporting tools Partner with the COE to enhance data standards, guidelines, and methodologies Provide a high level of customer service and take accountability for outcomes Build strong working relationships across all levels of the organization Required Skills & Qualifications 5-10 years of experience in data engineering, data modeling, or analytics roles Strong expertise in SQL, data modeling, and data engineering toolsets Hands-on experience with Snowflake, Power BI, Excel, Databricks, Alteryx Experience building data models for reporting and analytics Proficiency with structured and semi-structured data formats (JSON, XML,...
Job Role: Data Engineer Experience: 9-10 years Location: New York Work Mode: Onsite Skills: Experienced in Power BI, DAX, Strong in Python, SQL, proficient in data modeling and Data warehousing such as Snowflake…
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Job Role: Data Engineer Experience: 9-10 years Location: New York Work Mode: Onsite Skills: Experienced in Power BI, DAX, Strong in Python, SQL, proficient in data modeling and Data warehousing such as Snowflake Knowledge of Power BI, SSAS, SSRS, and SSIS, Microsoft SQL Server, TSQL, Power Query, MDX, Experience in database management systems, OLAP, and the ETL (Extract, Transform, Load) framework Show less
5+ years' experience in data engineering (building data pipes, data lakes, data warehouse) Proficient in constructing and managing modern data warehouse and data lake house architectures, ensuring scalable and efficient…
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5+ years' experience in data engineering (building data pipes, data lakes, data warehouse) Proficient in constructing and managing modern data warehouse and data lake house architectures, ensuring scalable and efficient data storage. Data Governance - Data Quality Controls, General Ledger Reconciliations, Transmission and interface controls Proficiency in SQL and Python, with experience in data storage frameworks (Apache Spark, Databricks, or Hadoop).
5 years of experience working with mission-critical facilities (data centers, power plants, or manufacturing). Experience leading OT cybersecurity maturation and improvement initiatives (e.g.
Deep hands-on experience in cloud architecture domains including cloud computing, distributed systems, and enterprise IT strategy. Google Professional Cloud Architect certification is required.
Primary Responsibilities: Architect and implement data virtualization solutions using Denodo. Design and optimize MPP-based data platforms (Snowflake, Redshift, Synapse, BigQuery).
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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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