Senior Data Engineer ID65436
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. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! 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. Apply To This Job