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.