Work from Home Senior Data Software Engineer

AgileEngine is a topranking provider of software solutions to Fortune 500 Global 500 and Future 50 companies. Listed on Inc. 5000 among the fastestgrowing 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

• Collaborate closely with Data Scientists to understand their data requirements model development needs and performance optimization goals;
  

• Design build and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
  

• Collect process and prepare large datasets for analysis feature engineering and model training;
  

• Implement data quality checks validation and monitoring to ensure the reliability and accuracy of data used in ML models;
  

• Optimize data storage retrieval and processing performance for ML workloads;
  

• Develop and maintain ETL (Extract Transform Load) processes and workflows;
  

• Manage data versioning storage and access control for ML datasets;
  

• Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;
  

• Stay uptodate with emerging technologies tools and best practices in data engineering and ML infrastructure.
  

Must haves

• Bachelor s or Master s degree in Computer Science Data Science or a related field;
  

• Proven experience as a Data Engineer preferably in a role supporting Data Scientists;
  

• Strong proficiency in programming languages such as Python Java or Scala;
  

• Proficiency with data storage and processing technologies including SQL databases NoSQL databases and distributed computing frameworks (e.g. Hadoop Spark);
  

• Experience with data warehousing solutions and data integration tools;
  

• Experience with data pipeline and workflow management tools: AWS glue Airflow etc;
  

• Knowledge of ML frameworks (e.g. TensorFlow PyTorch) and ML model deployment;
  

• Familiarity with cloud platforms (e.g. AWS Azure Google Cloud) and containerization (e.g. Docker Kubernetes);
  

• Excellent problemsolving skills and a collaborative mindset;
  

• Excellent oral and written communication skills with a keen sense of customer service.
  

Nice to haves

• Experience in ad/marketing environment
  

• Experience working with Data Lakes
  

• Experience with Scala
  

• Experience with Glue/EMR/Redshift/Airflow
  

• Experience with Terraform.
  

The benefits of joining us

• Professional growth
  

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

• Competitive compensation
  

We match your evergrowing skills talent and contributions with competitive USDbased compensation and budgets for education fitness and team activities.

• A selection of exciting projects
  

Join projects with modern solutions development and toptier clients that include Fortune 500 enterprises and leading product brands.

• Flextime
  

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