Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer, Enterprise Data, Analytics and Innovation, Digital Engagement in the United States. This role offers a unique opportunity to design, build, and maintain robust data infrastructure that drives innovation and analytics across enterprise systems. You will work closely with cross-functional teams to ensure data reliability, accessibility, and scalability while supporting advanced analytics and predictive insights. This position is ideal for engineers who thrive at the intersection of technology and innovation, working with modern data platforms and pipeline architectures. You will be instrumental in integrating diverse data sources, implementing best practices for governance and security, and enabling data-driven decision-making. The environment is collaborative, flexible, and supportive, providing professional growth opportunities while making a tangible impact on healthcare and engagement analytics. Accountabilities Design, build, and operate ETL and ELT pipelines using Python and SQL to maintain data quality and reliability. Manage data across Bronze, Silver, and Gold layers of the Medallion architecture, ensuring smooth ingestion from transactional systems. Develop schemas, tables, and views optimized for analytics, APIs, and product use cases while enforcing data governance, security, and compliance standards. Integrate third-party and product-generated data, ensuring normalization, harmonization, and accurate documentation. Collaborate with innovation, data science, and AI teams to prototype and productionize analytics, predictive models, and dashboards. Monitor performance, troubleshoot issues, and optimize pipelines for scalability, reliability, and efficiency. 5+ years of professional experience in data engineering, ETL, or related roles. Strong proficiency in Python and SQL for data engineering tasks. Hands-on experience with modern data platforms, lakehouse architecture, and Medallion design patterns. Familiarity with Spark/PySpark, workflow orchestration tools (Airflow, dbt), containers (Docker), and Git version control. Strong communication skills, collaborative mindset, and problem-solving orientation. Experience with data quality, observability, and pipeline documentation. Bonus skills: Databricks, Microsoft Azure ecosystem, Delta Lake, metadata management, healthcare or scientific data experience, and API-based data exposure. Competitive salary range: $110,000–$125,000/year. 100% remote work with flexible scheduling and optional local meet-ups. Comprehensive health benefits: medical, dental, and vision coverage. Generous parental leave and flexible time off policies. 401(k) plan with company match and financial wellness support. Professional development opportunities via internal learning programs. Wellness initiatives including virtual workout classes and Employee Assistance Programs. Discounts for events, travel, childcare, groceries, and other personal perks. Volunteer time off and emphasis on work-life balance and personal wellness. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly: 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1