Design, build, and optimize data pipelines and infrastructure to support AI/ML models and advanced analytics.
Build and maintain robust ETL/ELT pipelines for structured and unstructured data.
Design and implement scalable data architectures for AI/ML workloads using cloud platforms (AWS, Azure, GCP).
Collaborate with data scientists to prepare and transform data for model training and inference.
Integrate ML models into production systems, ensuring efficient data flow and monitoring.
Optimize data storage, retrieval, and processing for large-scale datasets.
Implement data quality checks, compliance standards, and security best practices.

Requirements

Bachelor’s Degree in Computer Science, Computer Engineering, or similar area.
(2) years of relevant experience and knowledge of the software development lifecycle, relational database theory, and skills to utilize one or more programming languages.
Preferred: Master’s Degree in Computer Science, Data Engineering, or a related field.
Experience with containerization (Docker, Kubernetes).
Knowledge of data governance and MLOps best practices.
Programming: Python, SQL, and experience with frameworks like PySpark or Dask.
Data Platforms: Experience with Hadoop, Spark, Databricks, or similar big data tools.
Cloud Services: AWS (S3, Glue, EMR), Azure Data Factory, or GCP BigQuery.
ML Workflow Tools: Familiarity with MLflow, TensorFlow, or PyTorch.
Databases: Snowflake Data Platform, Relational (PostgreSQL, MySQL), and NoSQL (MongoDB, Cassandra).
Version Control & CI/CD: Git, Jenkins, or similar tools.
Strong problem-solving and analytical thinking.
Ability to collaborate with cross-functional teams.
Excellent communication skills.

Benefits

Medical, vision, and dental coverage with low employee premiums.
Voluntary benefit offerings, including pet insurance for paw parents.
Life and disability insurance.
Retirement programs, including a 401K employer match and a pension plan that is vested after 3 years of service.
Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs.
Generous paid time off to reenergize.
Tuition assistance for both undergraduate and graduate degrees.
Employee recognition program to celebrate anniversaries, team accomplishments, and more.
On-campus model providing flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement.
Commuter perks for a less impactful trip to work.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

ETLELTdata architecturedata pipelinesPythonSQLHadoopSparkDockerKubernetes

problem-solvinganalytical thinkingcollaborationcommunication