Senior Associate, Data Engineer

KAYGEN is an emerging leader in providing top talent for technology-based staffing services. We specialize in providing high-volume contingent staffing, direct hire staffing and project-based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries. Job Title: Data Engineer (Python & SQL) Location: Atlanta, GA Duration: 6 Months Level: Senior Associate Technology L2 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. At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity. 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. Benefits Free Healthcare Insurance Vision and Dental Insurance 401(k) Retirement Plan Free Life Insurance Sick Time Off #J-18808-Ljbffr