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. #LI-CL1 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.
Data Engineering Lead
Location
United States
Posted
8 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role involves providing advanced analytical and data engineering support to drive data-informed decision-making and operational efficiency.
- Design, develop, and deploy machine learning models for various applications to solve complex business problems.
- Build and optimize automated, scalable ETL/ELT pipelines using Python, SQL, and cloud-based tools.
- Develop and maintain production ML systems including model deployment and monitoring.
- Create interactive dashboards and data visualizations using Tableau, Power BI, or similar platforms.
- Conduct data mining, cleaning, and manipulation using SQL and Python.
- Translate complex business requirements into technical solutions and analytical frameworks.
- Provide technical mentorship on advanced analytics techniques and workflow automation.
- Respond to urgent data requests and coordinate collaborative research and analysis projects.
Qualifications
- At least 5 years of experience in data science, machine learning, or advanced analytics.
- Strong proficiency in Python and SQL for data manipulation and analysis.
- Experience with ETL/ELT pipeline development and data engineering best practices.
- Demonstrated knowledge of data visualization platforms like Tableau and Power BI.
- Experience with cloud platforms and modern data infrastructure.
- Knowledge of statistical analysis and modeling techniques.
- Strong version control and collaboration skills using Git.
- Exceptional analytical skills with attention to detail.
- Strong communication skills with the ability to present findings to non-technical stakeholders.
Benefits
- Flexible work hours and remote work options.
- Comprehensive medical, dental, and vision plans.
- 401(k) plan with company matching.
- Generous paid time off and holidays.
- Paid parental and family leave.
- Short and long-term disability benefits.
- Life and accident insurance.
- Opportunities for professional development and mentorship.
Job Requirements
- At least 5 years of experience in data science, machine learning, or advanced analytics.
- Strong proficiency in Python and SQL for data manipulation and analysis.
- Experience with ETL/ELT pipeline development and data engineering best practices.
- Demonstrated knowledge of data visualization platforms like Tableau and Power BI.
- Experience with cloud platforms and modern data infrastructure.
- Knowledge of statistical analysis and modeling techniques.
- Strong version control and collaboration skills using Git.
- Exceptional analytical skills with attention to detail.
- Strong communication skills with the ability to present findings to non-technical stakeholders.
Benefits
- Flexible work hours and remote work options.
- Comprehensive medical, dental, and vision plans.
- 401(k) plan with company matching.
- Generous paid time off and holidays.
- Paid parental and family leave.
- Short and long-term disability benefits.
- Life and accident insurance.
- Opportunities for professional development and mentorship.
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