Sr. Data Engineer

Senior Analytical Data Engineer – Hybrid in Miami, FL, or Chicago, IL

Job Type: Full-Time

Location: Hybrid (3 days onsite per week in Miami, FL preferred; Chicago, IL or Alpharetta, GA)

Start Date: ASAP

Overview:

We are seeking a Senior Analytical Data Engineer to join a high-impact Data & Analytics organization focused on developing analytical solutions that fuel business decision-making. This position plays a key role in engineering use-case-specific datasets, supporting business intelligence, and enabling advanced analytics teams with scalable, high-quality data products. You’ll work closely with data science, BI, and product teams to deliver value-driven insights, contributing directly to strategic initiatives across multiple business units.

Key Responsibilities:

Engineer data pipelines that transform and organize raw data into curated datasets tailored to business use cases

Collaborate with product, BI, and data science teams to scope, develop, and iterate on analytics-ready solutions

Ensure compliance with data quality standards and promote documentation of processes and data flows

Contribute to feature creation for predictive models and operational analytics

Support QA efforts and continuous improvement across all development cycles

Implement governance best practices and ensure secure and traceable data access across environments

Engage in agile development and delivery cycles with frequent stakeholder interaction

Qualifications:

5+ years of experience in data engineering or analytics engineering roles

Proficiency in SQL, Python, and PySpark

Hands-on experience with modern data platforms (e.g., Databricks, AWS, Spark)

Knowledge of data modeling, ETL/ELT pipelines, and data architecture

Strong collaboration skills with both technical and non-technical teams

Experience with tools such as Git, Jenkins, Jira, and Confluence

Bachelor’s degree in Computer Science, Engineering, or a related field (advanced degree a plus)