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! 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. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
Data Engineer
Location
United States
Posted
3 days ago
Salary
$105K - $115K / year
No structured requirement data.
Job Description
Role Description
This role offers the chance to design, build, and maintain advanced data platforms that power analytics, machine learning, and mission-critical operations. The Data Engineer will collaborate closely with cross-functional teams to implement scalable, reliable, and high-performance data solutions. You will work on modern cloud architectures, develop robust ELT pipelines, and ensure data quality, integrity, and governance across the organization. Your work will directly impact business operations and the delivery of essential services, with opportunities to optimize processes, innovate with AI, and advance your technical expertise in a dynamic, remote-friendly environment.
- Design, develop, and maintain scalable data platforms supporting analytics, machine learning, and operational systems.
- Build and optimize ELT workflows, data models, and distributed processing jobs using cloud-native tools and modern technologies.
- Implement best practices for data quality, integrity, lineage, governance, performance, and reliability across pipelines and platforms.
- Establish monitoring, alerting, and SLAs for mission-critical data services with observability standards.
- Identify and resolve performance bottlenecks to ensure efficient, cost-effective data processing.
- Collaborate with engineering, product, operations, and customer success teams to deliver reliable and actionable data insights.
- Execute other tasks as assigned to support organizational goals and project success.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
- 2+ years of software and data engineering experience, with expertise in distributed data processing and data-intensive applications.
- 1+ years of experience implementing and maintaining reporting and analytics tools such as Tableau, Power BI, or DOMO.
- Proficiency in Python, SQL, query and database optimization, data pipelines, and data modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift).
- Knowledge of privacy, security, and regulatory best practices in data management.
- Excellent communication, collaboration, and problem-solving skills.
- Desired: experience in healthcare technology (EHR, HL7/FHIR) or regulated industries and product development.
- Willingness to responsibly explore AI tools to enhance productivity and innovation.
Benefits
- Competitive base salary ($105,000–115,000/yr) with potential variable compensation.
- Health, dental, and vision plans, along with company-paid holidays and PTO.
- 401K retirement program with company match and other sponsored programs.
- Remote-first work environment within EST or CST time zones.
- Opportunities for professional growth and cross-functional collaboration.
- Exposure to cutting-edge cloud, analytics, and AI technologies in a fast-paced environment.
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
- 2+ years of software and data engineering experience, with expertise in distributed data processing and data-intensive applications.
- 1+ years of experience implementing and maintaining reporting and analytics tools such as Tableau, Power BI, or DOMO.
- Proficiency in Python, SQL, query and database optimization, data pipelines, and data modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift).
- Knowledge of privacy, security, and regulatory best practices in data management.
- Excellent communication, collaboration, and problem-solving skills.
- Desired: experience in healthcare technology (EHR, HL7/FHIR) or regulated industries and product development.
- Willingness to responsibly explore AI tools to enhance productivity and innovation.
Benefits
- Competitive base salary ($105,000–115,000/yr) with potential variable compensation.
- Health, dental, and vision plans, along with company-paid holidays and PTO.
- 401K retirement program with company match and other sponsored programs.
- Remote-first work environment within EST or CST time zones.
- Opportunities for professional growth and cross-functional collaboration.
- Exposure to cutting-edge cloud, analytics, and AI technologies in a fast-paced environment.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Healthcare Data Architect & Manager
JobgetherWe 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! 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. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
This role offers a high-impact opportunity to lead the architecture and management of enterprise healthcare data, shaping how clinical and operational insights are captured, modeled, and utilized. You will transform raw, fragmented healthcare data into trusted, actionable dataset...
Principal Engineer (Data Platform)
AtlanAtlan is building the shared context layer that enterprises need so AI can operate on trusted, governed context. The conversation has moved from data leaders asking: “Can we trust the data in our stack?” to businesses asking: “Can we trust AI inside the business?” We are the missing infrastructure for businesses becoming AI-forward - the connective tissue between their data stack, operational systems, and AI agents. Recognized as an industry-leading metadata, catalog, and data governance platform, we’ve been named a Leader by both Gartner and Forrester across enterprise data catalogs, metadata management, and governance. To learn more, visit www.atlan.com and follow us on LinkedIn .
The role involves designing and building enterprise-scale platform services, including APIs, infrastructure components, and runtime systems, while architecting a context store to convert lakehouse infrastructure into AI-ready systems.
The Senior Data Engineer will architect and build the organization's data pipeline from the ground up, focusing on creating scalable ELT/ETL pipelines, canonical datasets, and data models to support reporting and data-informed decisions. This role involves implementing data quality checks, developing transformations using best practices, and configuring automated job runs via CI/CD.
Senior Data Engineer
FujifilmAt FUJIFILM Healthcare Americas Corporation, we’re on a mission to innovate for a healthier world, and we need passionate, driven people like you to help us get there. Our cutting-edge healthcare solutions span diagnostic imaging, enterprise imaging, endoscopic and surgical imaging, as well as in-vitro diagnostics. Our headquarters is in Lexington, Massachusetts, an inspiring healthcare research hub in a historic town. Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of “giving our world more smiles.”
Join FUJIFILM Biotechnologies to power analytics at scale. We’re seeking a Senior Data Engineer with deep expertise in Alteryx and Tableau to design, build, and operate scalable data pipelines and modern analytics platforms. You’ll shape engineering standards, elevate platform re...
