Data Engineer (Python & SQL)

Job Title: Data Engineer ( Python & SQL )

Location: Atlanta, GA & Boston, MA (Onsite)

Duration: 6 Months

Interview Process: Video

Project Overview

This role will support a key data engineering workstream, focused on building and maintaining enterprise data pipelines and transformations in a modern cloud environment. The individual should be able to work independently, ramp up quickly, and operate comfortably in a client-facing setting.

Top Required (MUST – High Proficiency)

• Python

• SQL

Required Skills / Experience

• AI

• Snowflake

• DBT

• AWS Airflow

• AI / Automation

Role: Senior Associate Technology L2 (Data Platforms)

As a Senior Associate Technology L2 specializing in Data Platforms, you will play a key role in designing, developing, and optimizing data solutions that enable scalable, high-performance data processing. You will work with cutting-edge technologies to build robust data pipelines, data lakes, and analytics platforms that drive business insights and innovation.

Your Impact

• Design, develop, and maintain scalable data platforms that support enterprise data needs.

• Build and optimize data pipelines, ETL processes, and data integration workflows.

• Collaborate with data scientists, analysts, and business stakeholders to ensure data solutions meet business requirements.

• Implement best practices in data governance, security, and compliance.

• Work with cloud-based data platforms such as AWS , Azure , or GCP .

• Utilize big data technologies such as Hadoop , Spark , Kafka , and Snowflake .

• Automate data processing and monitoring using tools like Airflow , Kubernetes , or Apache NiFi .

• Troubleshoot and optimize data performance, ensuring high availability and reliability.

• Stay updated on emerging trends in data engineering and contribute to innovation within the team.

Skills & Experience

• 5+ years of experience in data engineering, data platforms, or related fields.

• Strong expertise in SQL , NoSQL , and data modeling.

• Hands-on experience with big data technologies such as Hadoop , Spark , Kafka , or Snowflake .

• Proficiency in cloud-based data solutions ( AWS , Azure , GCP ).

• Experience with data pipeline orchestration tools like Apache Airflow , NiFi , or Kubernetes .

• Strong programming skills in Python , Java , Scala , or similar languages.

• Knowledge of data governance, security, and compliance best practices.

• Ability to work in an Agile environment and collaborate with cross-functional teams.

• Strong problem-solving and analytical skills with a focus on data-driven decision-making.

Set Yourself Apart With

• Experience with real-time data processing and streaming analytics.

• Knowledge of machine learning pipelines and data science workflows.

• Certifications in cloud platforms ( AWS Certified Data Analytics – Specialty , Azure Data Engineer , GCP Professional Data Engineer ).

• Exposure to DevOps practices for data engineering.