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About Our Client The organization operates in the digital infrastructure industry, serving mission-critical government agencies and global enterprises that require secure, fast, and reliable data solutions. It addresses complex challenges related to infrastructure defense, corruption prevention, and humanitarian operations through technologies including agentic AI, zero-trust identity, quantum-resistant data, and offline stablecoin payments. The organization focuses on precise data capture, attribution, and analysis to support critical customer operations. About the Opportunity The Data Analytics Engineer transforms complex and ambiguous data into reliable datasets, analytical products, and clear narratives that support customer decisions. Working within a high-velocity Agile environment, this role collaborates with client delivery teams, customers, and internal stakeholders to build secure and trustworthy data solutions. The position combines data engineering, analytics, AI, and quality assurance to improve the reliability and usability of data products. Responsibilities • Partner with client delivery teams and customers to translate domain knowledge into data infrastructure requirements and resolve data-related issues. • Analyze and explore customer data to understand content, structure, and characteristics while recommending appropriate cleaning and analysis approaches. • Develop AI-powered data products, including interactive platforms, data quality reports, statistical analyses, and visualizations. • Integrate AI capabilities such as automated insights, anomaly detection, and natural-language interfaces into data products. • Evaluate AI and machine learning output quality and design human-in-the-loop validation processes to ensure trustworthy results. • Design, maintain, and improve reliable ETL/ELT data pipelines. • Coordinate with stakeholders to resolve missing information, inconsistencies, and data discrepancies. • Perform quality control through automated testing and manual reviews. • Document data decisions, assumptions, methodologies, and quality processes. • Identify opportunities to automate internal workflows and enhance tools through AI-driven solutions. • Collaborate across Agile teams to improve data products, infrastructure, and analytical processes. Requirements • Minimum 3 years of experience in a data-driven role, analytics position, engineering role, or equivalent research experience. • Bachelor’s or Master’s degree in science, mathematics, engineering, data science, or a related field. • Proficiency in Python, R, or a comparable programming language. • Competence in at least two of the following areas: Database technologies such as SQL or PostgreSQL. Data science libraries such as NumPy or pandas. Data pipelining tools such as Dagster, Airflow, or dbt. Cloud platforms and SDKs such as AWS or Azure. • Ability to translate complex data findings into clear, concise, and actionable narratives. • Strong written and verbal communication skills, including the ability to clearly document operational workflows. • Strong commitment to data integrity, quality, and producing trusted datasets. • Self-motivated with the ability to quickly learn and apply new technologies. • Experience with generative AI tools or AI testing frameworks is a plus. Pay Range and Compensation Package • Annual salary range of $100,000–$130,000 USD . Benefits & Perks • 401(k) plan with up to 5% employer contribution. • Fully funded health benefits, including medical, dental, and vision coverage for the employee and family from day one. • Up to 24 weeks of paid parental leave. • 4-week paid ramp-back program following parental leave. • $10,000 family-forming benefit covering eligible fertility treatments, adoption, and surrogacy expenses. • Flexible vacation policy with no set limits. • Summer Fridays and an extended holiday period in December. • Flexible remote work options, including access to collaborative office spaces. • Opportunity to work remotely for up to 2 months per year from eligible locations. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.
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.