What are the responsibilities and job description for the Data Engineer, Mid-Level position at Jobright.ai?
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Job Summary:
Possible Financial Inc. is a Public Benefit Corporation on a mission to help customers unlock economic mobility through affordable credit products. They are seeking a hardworking Data Engineer to join their data team, responsible for building and maintaining data models and pipelines while collaborating across functions to drive data-driven decision-making.
Responsibilities:
• Design and implement scalable data pipelines and ETL processes
• Build and optimize data models for analytics and machine learning applications
• Collaborate with finance, marketing, and other teams to support their data needs
• Develop and maintain cloud-based data infrastructure (AWS Databricks)
• Implement data quality measures and monitoring systems
• Evaluate and implement new data technologies and tools
Qualifications:
Required:
• 3 years of experience in data engineering or a similar role
• Knowledge of SQL, Python, and Spark
• Strong understanding of data modeling and architecture principles
• Proficiency in cloud platforms like AWS, GCP, or Azure and IaC tools such as Terraform
• Experience with modern data warehousing solutions
• Knowledge of at least one orchestration tool (e.g., Airflow, Dagster, Prefect, AWS Step Functions)
• Experience with dbt or similar transformation tools
• Background in implementing data governance and security practices
Preferred:
• Experience with real-time data processing systems such as Kafka, Kinesis, etc.
• Knowledge of machine learning operations (MLOps)
• Familiarity with monitoring and observability tools like DataDog, Grafana, Great Expectations, and Elementary
Company:
At Possible, we believe financial health is something everyone deserves. Founded in 2017, the company is headquartered in Seattle, Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage. Possible has a track record of offering H1B sponsorships.
