Data Engineer
Hi there! 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 Python Data Engineer to engineer, automate, and manage robust data ingestion workflows within an Enterprise Service Management team, ensuring seamless integration with downstream systems including ServiceNow. You will leverage Python for workflow development, Snowflake for data storage and optimization, OpenTelemetry for observability, and strong SQL skills for data manipulation and validation across end-to-end pipelines. The role requires 4+ years of backend Python experience with hands-on data pipeline and ServiceNow integration expertise.
What you will do
● Engineer, automate, and manage robust workflows that ingest data.
● Ensure data pipelines integrate seamlessly with downstream systems.
● Build and maintain reliable integrations with ServiceNow.
● Leverage Snowflake and OpenTelemetry to optimize data flow and system observability.
● Troubleshoot and resolve bottlenecks or failures within automated data pipelines.
● Implement data validation checks and maintain data integrity across all workflows.
Must haves
● 4+ years of backend development experience using Python.
● Experience building data ingestion workflows and pipelines.
● Hands-on experience with Snowflake and OpenTelemetry.
● Proven ability to build integrations with ServiceNow.
● Strong SQL skills for data manipulation and querying.
● Upper-Intermediate English level.
Nice to haves
● Experience with data orchestration tools (e.g., Apache Airflow, Prefect, or Dagster).
● Familiarity with ITSM best practices and ITIL frameworks.
● Knowledge of building and managing CI/CD pipelines for data products.
Perks and benefits
● 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
● 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!