Data Engineer and Data Scientist

Quick Facts

• Role: Data Engineer and Data Scientist

• Focus: Data pipelines, analytics models, and machine learning workflows (microbiology domain)

• Work model: Hybrid (client site in Atlanta, GA)

Description

Bring your data engineering and data science experience to build insights for stakeholders across the business. Build leading-edge analytics models in the microbiology domain and own a mission-critical data analysis platform. You’ll combine ELT/data engineering with data science and clear communication to drive data-driven outcomes.

Responsibilities

• Build and maintain data pipelines using Databricks, Python, SQL, and Spark

• Perform exploratory data analysis, hypothesis testing, feature engineering, and model evaluation

• Develop datasets and workflows that support machine learning models and analytical use cases

• Create visualizations (Tableau) and communicate findings through data storytelling

• Collaborate with stakeholders to translate business problems into data-driven solutions

• Develop data pipelines using AWS services

• Monitor and improve production data and machine learning workflows

• Ensure data quality, reliability, security, and performance

Requirements

• Strong experience with data engineering pipelines and ELT processes

• Ability to develop and publish analysis reports for business requests

• Ability to explain analytical findings and technical concepts to non-technical stakeholders

• Proficiency in Python, SQL, Spark, and Databricks

• Experience with AWS services such as S3, Glue, Lambda, Athena, and Step Functions

• Hands-on knowledge of exploratory data analysis, statistical testing, feature engineering, machine learning models, and evaluation metrics

• Experience with Pandas, NumPy, scikit-learn, and visualization libraries such as Matplotlib, Seaborn, or Plotly

• Knowledge of Delta Lake, data modeling, data quality, and performance optimization

• Strong problem-solving, communication, and learning skills

Benefits

• Competitive compensation (estimated U.S. range: $79,600–$176,300)

• Comprehensive insurance options

• 401(k) matching and share purchase plan

• Paid time off and paid parental leave

• Learning opportunities and tuition assistance

• Wellness and well-being programs