Remote Senior Data Engineer – Analytics & Impact

Ladders; United States; Remote; USD 110,000 - 135,000; Full time

Benefits offered by this job

Opportunities for professional develop

Access to cutting-edge data eng. tech

Collaborative cross-functional team

Involvement in strategic decisions

Flexible remote work possibilities

Job summary

Ladders is seeking an Online Sr Data Engineer to join our team remotely. The role focuses on building and enhancing data solutions that enable analytics, predictive modeling, and better decision-making across the organization.

You will collaborate with cross-functional teams to identify opportunities, guide project execution, and improve data pipelines and related systems. Strong communication is required to translate insights into actionable recommendations for stakeholders.

Qualifications

• Bachelor's or master's degree in a quantitative field or equivalent experience.
• 5+ years of relevant work experience.
• Experience in predictive modeling, data mining, and data analysis.
• Proficiency in Python.
• Familiarity with ETL jobs, automated CI/CD, and performance tuning of SQL queries.

Responsibilities

• Collaborate with internal teams to identify and prioritize data-driven opportunities.
• Guide project teams through project goals and workload distribution.
• Develop efficient and quality-driven data solutions.
• Communicate insights and recommendations to various stakeholders.
• Research advancements in analytics and improve existing solutions.

Skills

Python

Data modeling

Data analysis

SQL

ETL

CI/CD

Education

Quantitative degree

Job description

Ladders is seeking an Online Sr Data Engineer to join our team remotely. The role focuses on building and enhancing data solutions that enable analytics, predictive modeling, and better decision-making across the organization.

You will collaborate with cross-functional teams to identify opportunities, guide project execution, and improve data pipelines and related systems. Strong communication is required to translate insights into actionable recommendations for stakeholders.