Senior Data Engineer at Jobgether – United States
Jobgether
United States, United States
Posted on
NewJob Function:Information Technology
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About This Position
Senior Data Engineer
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in United States.
In this role, you will design, build, and scale advanced data pipelines that power critical commercial and scientific insights in a fast-paced, innovation-driven environment. You will collaborate closely with data scientists, business analysts, and technical teams to transform complex datasets into reliable, production-grade solutions. Leveraging cloud-native technologies and modern data engineering best practices, you will help accelerate data flow, automation, and analytics capabilities across the organization. This position offers a high-impact opportunity to work on cutting-edge data platforms supporting life-changing scientific advancements. You will operate in a collaborative, agile setting that values technical excellence, creativity, and continuous improvement. The role blends deep technical ownership with cross-functional influence, enabling you to shape the future of enterprise data systems.
Accountabilities:- Design, implement, and manage scalable ETL data pipelines that ingest and transform large volumes of commercial and scientific data using cloud-based technologies.
- Build and maintain robust data workflows using Python and SQL to ensure accuracy, reliability, and performance across analytics and reporting platforms.
- Develop and optimize databases for raw and processed datasets, enabling efficient access and advanced analytics use cases.
- Implement automation, monitoring, logging, and CI/CD practices to ensure operational stability, performance, and continuous improvement.
- Collaborate with data scientists and analysts to optimize data availability, usability, and interpretability for modeling and reporting needs.
- Contribute to data engineering standards, templates, frameworks, and best practices to strengthen the organizations data ecosystem.
- Participate in code reviews, technical documentation, and knowledge sharing to elevate engineering quality and team effectiveness.
Requirements:
- Bachelors degree in Information Technology, Bioinformatics, or a closely related field, or equivalent practical experience.
- At least 5 years of experience designing and managing large-scale ETL data pipelines on AWS.
- Strong expertise in Python and SQL for building, maintaining, and optimizing data workflows.
- Hands-on experience with AWS services such as Glue, Step Functions, Kinesis, Redshift, Lambda, Docker, and CI/CD pipelines.
- Solid understanding of data engineering best practices, software development methodologies, and cloud-native architectures.
- Strong problem-solving skills, attention to detail, and ability to operate in fast-paced, data-intensive environments.
- Excellent collaboration and communication skills, with experience working cross-functionally with technical and business teams.
Benefits:
- Competitive salary range of $167,835 $199,080 per year.
- Comprehensive healthcare coverage including medical, dental, and vision plans.
- 401(k) plan with 100% match on the first 6% of contributions.
- Generous paid time off, holidays, sick leave, and 12 weeks of paid parental leave.
- Flexible work arrangements with remote options within commuting distance of the assigned worksite.
- Wellness programs, lifestyle spending account, commuter benefits, tuition reimbursement, and family support resources.
Why Apply Through Jobgether?
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.
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Job Location
United States, United States
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