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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer 2 based in United States. This role offers the opportunity to build and improve data solutions that support better healthcare outcomes, affordability, and equity. You will design and maintain data pipelines, databases, analytical frameworks, and data workflows using complex healthcare datasets. Working alongside analysts, health policy experts, and other stakeholders, you will translate business and analytical needs into reliable and scalable data solutions. The position combines hands-on data engineering with healthcare data analysis, visualization, and problem-solving. You will work extensively with claims and multi-payer data while helping strengthen data quality, infrastructure, and analytical capabilities. This is a strong opportunity for an experienced data professional who wants to apply technical expertise to meaningful healthcare challenges. Accountabilities Develop, maintain, and optimize data pipelines, ETL processes, and workflows that collect, clean, transform, and integrate data from diverse sources. Ensure data integrity, accuracy, consistency, and quality throughout the data processing lifecycle. Analyze healthcare claims and related datasets to identify patterns, trends, opportunities, and actionable insights. Design, develop, and maintain databases, data models, schemas, and other structures that enable efficient data storage and retrieval. Profile, manipulate, transform, and prepare complex datasets for analysis using appropriate technical tools and methodologies. Create reports, dashboards, and data visualizations that communicate analytical findings clearly to technical and non-technical audiences. Partner with healthcare analysts, policy experts, stakeholders, and cross-functional teams to understand requirements and translate them into effective data solutions. Identify data-related challenges and opportunities and recommend improvements to infrastructure, processes, workflows, and analytical capabilities. Apply appropriate statistical, analytical, and data mining techniques to support healthcare research and decision-making. Stay current with emerging technologies, data engineering practices, healthcare data trends, and visualization methodologies. Contribute to a collaborative, quality-focused environment while maintaining high standards of accuracy and attention to detail. Requirements Bachelor’s or master’s degree in healthcare administration, data science, statistics, or a related field, or equivalent professional experience. 5+ years of experience working with SQL. 5+ years of experience as a data analyst or data-focused professional within the healthcare industry, preferably with healthcare claims data. Deep knowledge of health data, multi-payer databases, public healthcare payers, claims processing, and claims data analytics. Strong understanding of US healthcare policy, industry trends, eligibility, utilization, healthcare costs, and health equity. Knowledge of the role of state governments in healthcare and how policy and regulatory environments influence healthcare data. Advanced data analysis and visualization capabilities using SQL, Python, R, Excel, or comparable tools. Strong experience with data profiling, manipulation, and transformation using technologies such as Pandas and SQL. Advanced proficiency with data visualization platforms such as Tableau or Power BI. Familiarity with data modeling, database management, and cloud-based data environments such as AWS, Azure, or Google Cloud. Solid understanding of statistical analysis, data mining, and machine learning concepts. Strong problem-solving, critical-thinking, analytical, and data interpretation skills, with exceptional attention to detail. Excellent written and verbal communication skills, including the ability to explain complex data findings clearly to non-technical stakeholders. Strong collaboration skills and the ability to work effectively with multidisciplinary teams. Ability to work for prolonged periods at a desk using a computer. Benefits Competitive annual salary of approximately $90,397–$108,477. Opportunity to work on healthcare data initiatives focused on improving quality, affordability, equity, and wellbeing. Exposure to complex healthcare claims, multi-payer, and public healthcare datasets. Collaborative environment working alongside data professionals, healthcare analysts, policy experts, and other stakeholders. Opportunity to contribute to data infrastructure, analytics, and solutions with meaningful real-world impact. Professional environment emphasizing teamwork, open communication, high standards, and continuous improvement. Full-time position with a remote work environment. Opportunity to work on challenging data projects across the US healthcare landscape. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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.