Job Summary:
Job Description:
Responsibilities: Architect, build, and operate the Company’s production data ingestion, integration, analytics, and data-platform solutions. Design and orchestrate scalable pipelines in AWS using Dagster, develop tested analytics models and transformation processes in Snowflake and dbt, and deploy containerized platform services on AWS ECS/Fargate using Docker and CloudFormation. Establish CI/CD workflows through GitHub Actions, manage secure configurations and credentials through AWS Secrets Manager, and implement monitoring, alerting, observability, data-quality controls, and privacy safeguards across development, test, and production environments. Build and support source-ingestion, API, reverse-ETL, and backend data applications using tools such as Fivetran, Python, FastAPI, and Streamlit. Develop master data management solutions, governed single sources of truth, and automated data-governance guardrails for key business entities. Apply AI-assisted development tools, contribute reusable AI development capabilities, and build MCP servers and other scalable data products using modern product-development and agile practices. Partner with terminal, wholesale, retail, supply, and trading teams; provide technical leadership and mentorship; maintain architecture documentation and operational runbooks; and champion automation-first engineering standards.
Additional Job Description:
Requirements: Master’s degree in Computer Science, Information Technology or a related field and five years of experience as a Data Engineer, Software Developer, Systems Analyst/Architect or related role. Experience must include five years each of the following: designing, developing, and supporting integration solutions; programming in Python on data-intensive applications; working with REST API protocols and Python API frameworks such as FastAPI; and working with SQL and NoSQL databases. Experience must include four years each of the following: building cloud-native data solutions on AWS/Azure; and working with Docker and Kubernetes. Experience must include two years each of the following: building data pipelines with ETL/ELT tools Fivetran, Dagster, dbt and Snowflake; implementing CI/CD using GitHub Actions; authoring infrastructure-as-code using AWS CloudFormation/Terraform; implementing observability and monitoring for data pipelines using tools such as Prometheus, Grafana, or Metaplane; and building and maintaining data pipelines that comply with data privacy and security regulations such as HIPAA/GDPR. Experience may be gained concurrently.
Pay Range:
$182,300.00 - $190,000.00
The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.
Our Commitments to You
Coins! We offer competitive salaries and opportunities for growth. We have an amazing Talent Development Team who create trainings for growth and job development.
Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.
The Road Ahead – We offer 401k and a match component!
Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service.
What to Expect From the Hiring Process
We value passion and potential. Please apply if you’re qualified and interested—we’d love to hear from you.
A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match.
Interviews are conducted virtually and in person, depending on the role. We’ll provide more details about next steps if selected to move forward.
