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.