Data Engineer 100% Remote – Must be US Citizen due to Public Trust Clearance

We are seeking a skilled certified Databricks Engineer to play a critical role in designing, developing, and deploying advanced analytical models, driving insights from complex datasets, and enabling data-driven decision-making across the organization. This is a unique opportunity to work on cutting-edge machine learning solutions, predictive analytics, and large-scale data platforms that influence key business outcomes. This role will be remotely working Eastern Standard Time core hours.

Responsibilities

• Develop, train, and deploy machine learning and statistical models to solve business problems and extract actionable insights.
• Analyze large, complex datasets (structured and unstructured) to identify trends, patterns, and opportunities.
• Collaborate with data engineers and analysts to design data pipelines, define feature engineering strategies, and ensure data readiness for modeling.
• Build and optimize predictive models using modern ML frameworks and tools.
• Conduct exploratory data analysis (EDA), hypothesis testing, and model evaluation.
• Communicate findings and insights to stakeholders through visualizations, reports, and presentations.
• Monitor model performance, retrain models as needed, and ensure scalability and reliability in production.
• Stay up to date with emerging trends in machine learning, AI, and advanced analytics.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (or equivalent hands-on experience).
• 3+ years of professional experience in data science or applied machine learning.
• Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn) with solid SQL experience.
• Experience building and deploying machine learning models in production environments.
• Hands-on experience with Databricks or similar platforms for large-scale data processing and model development.
• Familiarity with cloud platforms (AWS preferred) and ML pipelines.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, or Seaborn).
• Strong understanding of statistical methods, predictive modeling, and model evaluation techniques.
• Excellent problem-solving, analytical, and communication skills.
• Experience with streaming or near real-time analytics is a plus.
• Certification in Databricks.

Pay: $150,000.00 - $185,000.00 per year

Benefits

• 401(k)
• 401(k) matching
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Referral program
• Retirement plan
• Vision insurance

Experience

• Data science: 3 years (Required)
• Databricks: 1 year (Required)

License/Certification

* databricks certification (Preferred)

Work Location: Remote