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For our client, we are seeking a Consultant Cybersecurity (data Engineer) to join the team of a leader in the Finance & Insurance space. This role will lead technical work focused on secure, reliable systems and risk-aware execution. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a regulated financial services environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $118,000 – $222,000 annually Responsibilities Design and maintain data pipelines and lakehouse data products for security analysis Implement data ingestion, parsing, normalization, and enrichment protocols Develop data models in Databricks that balance performance, cost, and usability Collaborate with detection engineers to ensure data quality and effectiveness Monitor data quality and address any pipeline defects and telemetry gaps Optimize data storage and query performance for reliability and scalability Enhance reusable data ingestion frameworks and engineering practices Qualifications 5-7 years of experience in data engineering or a related field Strong proficiency in Databricks, Spark, Python, and SQL Experience with high-volume telemetry data pipelines and security dataset handling Knowledge of telemetry normalization standards (OCSF) and data quality controls Familiar with lakehouse architecture and its application in security analytics and investigations Effective collaboration skills with various teams including cyber security and detection engineering Excellent verbal and written communication skills Benefits Comprehensive medical, dental, and vision insurance Life insurance and short/long-term disability coverage Generous paid time off starting with a minimum of 18 days per year Nine paid holidays and additional paid time off for specific events 401(k) plan with company matching contributions Company-paid pension plan to support retirement Flexible business casual dress code Opportunity for remote work within certain states Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.