Remote Senior Data Engineer, Cloud Data Lakes

Alkami Technology, Inc.; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Alkami Technology, a remote-first platform provider for U.S. banks and credit unions, seeks a Senior Data Engineer to build and maintain data lakes and warehousing for a multi-tenant SaaS solution.

You will design end-to-end data pipelines, review code, and optimize performance across cross-functional teams. Requires 5+ years in data engineering, strong SQL and Python skills, and experience with AWS big data tools.

Qualifications

• Experience in modern data architecture, analytics, data governance, AI/ML, or related areas.
• Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, Kafka/Kinesis.
• Deep knowledge of the full data engineering lifecycle (design, development, deployment).
• Exposure to relational and NoSQL databases and data modeling principles.
• DevOps experience with CI/CD, containerized deployment (Kubernetes), and infrastructure-as-code.
• Proficient in SQL (Server, Postgres) and Python.
• Identify opportunities for process improvement and efficiency.

Responsibilities

• Participate in the entire data pipeline lifecycle, building data lakes and warehouses.
• Lead code and design reviews with junior and peer developers.
• Write clean code to develop data pipelines and infrastructure as code.
• Collaborate with cross-functional teams to design solutions.
• Monitor performance, scalability, and security, implementing improvements.
• Evaluate new technologies to boost system performance.
• Contribute to data governance and design/document data lake platform.

Skills

Data pipelines

SQL

Python

AWS

Data modeling

Mentoring

Education

Bachelor's degree in engineering, computer science, math, data engineering or related field

Tools

PostgreSQL

Cassandra

DynamoDB

MongoDB

Kubernetes

Terraform/CloudFormation

Job description

Alkami Technology, a remote-first platform provider for U.S. banks and credit unions, seeks a Senior Data Engineer to build and maintain data lakes and warehousing for a multi-tenant SaaS solution.

You will design end-to-end data pipelines, review code, and optimize performance across cross-functional teams. Requires 5+ years in data engineering, strong SQL and Python skills, and experience with AWS big data tools.