Senior Data Engineer

ID71670

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 architect, build, and scale a modern data platform — designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse schemas, and establishing robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and lineage frameworks, integrate third-party REST APIs and event-driven sources, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role prioritizes clean, well-tested Python code and a deep commitment to data reliability and accessibility.

What you will do

• Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources;

• Design production-ready normalized and denormalized schemas in Snowflake to optimize query performance and support enterprise analytics;

• Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into core data storage platforms;

• Maintain and expand workflow orchestration pipelines using Airflow, Prefect, or Dagster;

• Implement automated data testing, validation, lineage tracking, and proactive alerting frameworks to ensure data accuracy and system uptime;

• Drive CI/CD best practices, maintain codebases using Git and Docker, and adopt Infrastructure-as-Code patterns;

• Apply modern software engineering standards, including design patterns, automated unit and integration testing, and clear documentation.

Must haves

• 4+ years of experience as a Data Engineer;

• Strong proficiency in Python, including modular, maintainable, and well-tested code;

• Advanced knowledge of SQL, query optimization, database design principles, and normalization/denormalization patterns;

• Hands-on experience with Snowflake;

• Production experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster;

• Experience working with REST APIs, event-driven architectures, and batch and streaming pipelines;

• Experience implementing automated data quality checks, data lineage, and alerting mechanisms;

• Strong experience with Git, Docker, CI/CD automation, and Infrastructure-as-Code fundamentals;

• Upper-intermediate English level.

Nice to haves

• Experience with dbt for data transformations;

• Familiarity with major cloud platforms such as AWS, GCP, or Azure;

• Experience with message streaming technologies such as Apache Kafka or AWS Kinesis.

The benefits of joining us

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements

• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.

• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)

• Final interview with your future teammates

If it’s a match — you’ll get an offer!