Senior Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

195000.0

Posted On

24 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, ETL Processes, Data Integration, SQL, Data Modeling, Python, Golang, Java, Scala, Apache Spark, Kafka, Data Governance, Orchestration Tools, Cloud-Based Solutions, Project Management, Communication

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in the United States. As a Senior Data Engineer, you will play a critical role in shaping the organization’s data platform and infrastructure to enable data-driven decision-making across all teams. You will collaborate with Product, Clinical, Sales, and Operations teams to integrate highly fragmented healthcare data and create robust, scalable solutions. Your work will influence both internal analytics and external products, while helping to define best practices and technical standards. This role offers the opportunity to design and implement complex data pipelines, mentor other engineers, and contribute to building a culture of technical excellence. You will have a direct impact on strategic initiatives, helping the organization deliver high-quality care to the communities it serves. Accountabilities Architect and maintain scalable, reliable, and high-performance data infrastructure. Lead the design and implementation of data pipelines, ETL processes, and data integration from multiple sources. Collaborate with Product and Clinical teams to translate business requirements into technical solutions. Create and maintain data engineering best practices, standards, and documentation. Assemble, transform, and optimize large and complex datasets to meet functional and non-functional requirements. Support analytics and data science teams with tools and processes that enable advanced insights. Mentor and guide other engineers to foster a strong data engineering culture. 7+ years of hands-on data engineering experience with a graduate degree in Computer Science, Statistics, or related field. Proven experience building large-scale data pipelines, including data lakes, message queuing, and stream processing. Strong SQL and data modeling skills; experience with both structured and unstructured data. Expertise in scalable data transformation processes and implementing data governance practices. Proficiency in Python, Golang, Java, or Scala; experience with big data tools such as Apache Spark and Kafka. Familiarity with orchestration tools (Apache Airflow, Apache Iceberg) and cloud-based data warehouse solutions. Ability to analyze complex datasets, perform root cause analysis, and develop actionable technical solutions. Strong project management, communication, and organizational skills; mission-driven mindset. Healthcare experience is a plus but not required. Competitive base salary: $165,000–$195,000 per year, plus equity and benefits. Health benefits including medical, dental, and vision coverage. Retirement plans and matching contributions. Flexible time off and wellness programs to support work-life balance. Opportunities to collaborate with multidisciplinary teams and shape organizational data strategy. Professional development support and mentorship opportunities. Jobgether is a Talent Matching Platform that partners with companies worldwide to 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 candidates efficiently and fairly. 🔍 Our AI thoroughly evaluates your CV and LinkedIn profile, analyzing your skills, experience, and achievements. 📊 It compares your profile against the role’s requirements and past success factors to generate a match score. 🎯 The top 3 candidates with the strongest match are automatically shortlisted. 🧠 If needed, our human team conducts a manual review to ensure no strong candidate is overlooked. This process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is finalized, it is shared directly with the hiring company. The final decision and any next steps, such as interviews or assessments, are handled by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

As a Senior Data Engineer, you will architect and maintain scalable data infrastructure and lead the design and implementation of data pipelines. You will collaborate with various teams to integrate healthcare data and create robust solutions that influence analytics and external products.