WHY JOIN US AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards. ABOUT THE ROLE We are looking for a Senior Data Engineer to design and maintain scalable data pipelines and platforms supporting Accounting, Finance, Payments, and Tax functions within a large‑scale financial systems platform. You will build ETL/ELT workflows using Python, dbt, and Airflow, working across Snowflake, Redshift, Kafka, and Spark to ensure data availability and reliability for critical business operations. The role operates in a cross‑functional Agile environment with direct stakeholder engagement across Engineering, Product, and Analytics teams. WHAT YOU WILL DO Design, develop, and maintain scalable and reliable ETL/ELT pipelines; Build and optimize data workflows using tools such as dbt and Airflow; Develop and maintain data solutions leveraging technologies such as Snowflake, Redshift, Kafka, Spark, and Hive; Work with both SQL and NoSQL databases to support data ingestion, transformation, and analytics needs; Monitor, troubleshoot, and improve data pipeline performance, scalability, and reliability; Collaborate closely with cross‑functional teams including Engineering, Product, Analytics, and Business stakeholders; Participate in Agile ceremonies and contribute to sprint planning and delivery commitments; Manage multiple priorities effectively while ensuring timely and high-quality deliverables; Contribute to data architecture discussions and help drive engineering best practices. MUST HAVES 5+ years of professional experience in Data Engineering or Data Warehousing roles; Strong programming skills in Python; 5+ years of experience building data pipelines using ETL/ELT tools, with dbt preferred; 3+ years of hands‑on experience with big data technologies such as Snowflake, Redshift, Kafka, Spark, or Hive; Extensive experience working with both SQL and NoSQL databases; Strong expertise with workflow orchestration and pipeline management tools such as Airflow; Strong understanding of scalable data architecture and engineering best practices; Excellent communication and stakeholder management skills; Proven ability to manage competing priorities and deliver within agreed sprint commitments; Comfortable working in highly collaborative, cross‑functional Agile teams; Self‑starter mindset with strong analytical, problem‑solving, and critical‑thinking abilities; Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field preferred, or Bachelor’s degree with relevant experience; Upper-intermediate English level. NICE TO HAVES Experience working in cloud‑based data environments; Familiarity with modern data warehousing and distributed systems concepts; Exposure to data governance, observability, or data quality frameworks. PERKS AND BENEFITS Professional growth : Mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation : USD-based pay with education, fitness, and team activity budgets. Exciting projects : Modern solutions with Fortune 500 and top product companies. Flextime : Flexible schedule with remote and office options. #J-18808-Ljbffr