Senior Data Engineer
1 month ago
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed :)
What you will do
Design and implement data pipelines using DBT for transformation and modeling;
Manage and optimize data warehouse solutions on Snowflake;
Develop and maintain ETL processes using Fivetran for data ingestion;
Utilize Terraform for infrastructure as code (IaC) to provision and manage resources in AWS, Snowflake, Kubernetes, and Fivetran;
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions;
Implement workflow automation using Argoworkflows to streamline data processing tasks;
Ensure data quality and integrity throughout the data lifecycle.
Must haves
Bachelor’s degree in Computer Science, Engineering, or related field;
5+ years of experience working with Python;
Proven experience as a Data Engineer with a focus on DBT, Snowflake, ArgoWorkflows, and Fivetran;
Strong SQL skills for data manipulation and querying;
Experience with cloud platforms like AWS or Azure;
Experience with Kubernetes;
Familiarity with data modeling concepts and best practices;
Excellent problem-solving skills and attention to detail;
Ability to work independently and collaborate effectively in a team environment;
Upper-intermediate English level.
Nice to haves
+2 years experience with Golang.
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.
Requirements
Bachelor’s degree in Computer Science, Engineering, or related field; 5+ years of experience working with Python; Proven experience as a Data Engineer with a focus on DBT, Snowflake, ArgoWorkflows, and Fivetran; Strong SQL skills for data manipulation and querying; Experience with cloud platforms like AWS or Azure; Experience with Kubernetes; Familiarity with data modeling concepts and best practices; Excellent problem-solving skills and attention to detail; Ability to work independently and collaborate effectively in a team environment; Upper-intermediate English level.
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