Job Specifications
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data/ML Engineer in the United States.
This role offers the opportunity to shape and scale the next generation of data infrastructure and machine learning systems that power customer-facing products and business insights. The Senior Data/ML Engineer will design, implement, and optimize core data pipelines, ML workflows, and analytics platforms to deliver high-quality, reliable, and actionable data. You will work closely with product, engineering, and analytics teams to operationalize ML models, automate workflows, and ensure data quality and governance at scale. The position combines hands-on technical expertise with strategic influence, making it ideal for engineers passionate about solving complex data challenges and building impactful ML-driven solutions. Collaboration across global teams and ownership of scalable, customer-focused data products are central to this role.
Accountabilities
Design, build, and maintain core data models supporting analytics, machine learning, and generative AI workloads.
Implement automation and operationalize ML model workflows to improve efficiency and reduce manual processes.
Collaborate with engineering, product, and analytics teams to deliver seamless customer-facing data products and integrations.
Establish and maintain data quality, observability, and governance frameworks to ensure reliable data at scale.
Document data flows, integration contracts, and operational runbooks for efficient scaling and knowledge sharing.
Develop solutions leveraging modern ML technologies, including LLMs, embeddings, recommendations, and forecasting models.
Requirements
5+ years of experience in data engineering, with hands-on exposure to machine learning, MLOps, or backend workflow automation.
Proficiency in SQL and Python, with experience using ML frameworks and libraries.
Deep expertise in modern data stack tools such as dbt, Snowflake, and Looker/Omni; experience with Kafka or Flink is a plus.
Strong understanding of semantic layer design, dimensional modeling, and data architecture best practices.
Knowledge of data governance, data quality, observability, and security/analytics best practices.
Experience building products with generative AI, LLMs, embeddings, or advanced ML techniques.
Excellent problem-solving, communication, and collaboration skills for working across global, cross-functional teams.
Benefits
Competitive base salary: $151,000 – $205,000 depending on location, plus potential variable compensation.
Equity participation in the company.
401(k) match, medical, dental, vision, and life insurance coverage.
Fully remote work with monthly home office stipend.
Flexible vacation and paid time off policy.
Family planning resources and specialized employee support programs.
Learning and development program for professional growth in market-focused areas.
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!
Why Apply Through Jobgether?
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.
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.
About the Company
Your future of work, like you've always dreamt it, is now possible with Jobgether !
The Covid crisis has accelerated its revolution but work, as we knew it, doesn't exist anymore.
Tomorrow, jobs will be hybrid, remote and asynchronous. Flexibility will be the norm.
Jobgether helps you find your next remote job, wherever you are.
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