Senior Engineer, Data (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

153400.0

Posted On

24 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Architecture, Big Data Technologies, PostgreSQL, ETL Development, AWS, Data Lakes, Data Warehouses, Healthcare Standards, Python, TypeScript, GitHub Actions, Jenkins, CloudFormation, DataBricks

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. The Senior Data Engineer will play a pivotal role in designing, implementing, and optimizing large-scale data solutions to support analytics, business intelligence, and enterprise data management. You will lead efforts to modernize data pipelines, data warehouses, and datalakes while ensuring cost-efficient and secure cloud operations. This role involves collaboration with cross-functional teams to align data architecture with business goals and healthcare data standards. You will work with cutting-edge cloud technologies and big data systems to enable data-driven decision-making. The position offers a remote-first, flexible work environment with opportunities to influence strategic data initiatives and contribute to impactful projects in a mission-driven organization. Accountabilities Architect, design, and implement datalakes, data warehouses, and ETL pipelines for enterprise-scale analytics. Deploy and manage secure, cost-effective AWS (or cloud) environments across multiple availability zones and regions. Collaborate with internal departments and business stakeholders to define strategic data architecture and roadmap improvements. Analyze, troubleshoot, and optimize complex business programs and data processes. Ensure alignment of enterprise data with standards such as FHIR for healthcare applications. Evaluate and recommend OSS/COTS solutions to enhance data operations and governance. Participate in the full software development lifecycle: design, implementation, testing, and support. Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field. 8+ years of experience in software and data engineering with leadership on large-scale projects. Strong expertise in big data technologies, cloud architecture (AWS preferred), and cost-conscious cloud design. Proficiency with PostgreSQL, ETL development, S3, Lambda, RDS, Glue, CloudWatch. Experience with AWS database tools, cloud deployment, and secure data management. Familiarity with healthcare or sensitive data (PHI/PII) and standards such as FHIR. Preferred skills: Python, TypeScript, GitHub Actions, Jenkins, AWS Code Pipeline, Secrets Manager, Route53, CloudFormation, DataBricks. Strong analytical, problem-solving, and communication skills; ability to work independently and collaboratively. Competitive salary: $128,700–$153,400 USD/year. Four weeks paid time off and 10 company holidays annually. Flexible schedule with remote-first work environment. $3,000 annual education stipend and professional development opportunities. Full work-from-home setup, including MacBook. Medical, dental, vision insurance (company-paid), optional HSA with company contribution. Company-paid life, AD&D, short-term and long-term disability insurance. 401K plan with 3% safe harbor contribution. Wellness resources, virtual care, and employee discounts. 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 three 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

Responsibilities

The Senior Data Engineer will design, implement, and optimize large-scale data solutions for analytics and business intelligence. This role involves modernizing data pipelines and collaborating with teams to align data architecture with business goals.