Senior Data Engineer - Data Lake & Analytics (Remote)

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

Benefits offered by this job

Unlimited PTO

401(k) with employer match

Remote-first environment

Job summary

Alkami is seeking a Senior Data Engineer to design and maintain data lakes and warehouses for a B2B multi-tenant SaaS platform. You will own end-to-end data pipelines, contribute to governance, and optimize performance across the stack.

The role requires strong Python/SQL skills, experience with AWS data services, and the ability to mentor others in a remote-first, fast-growing environment. Join a culture focused on data-driven decisions and scalable data architectures.

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.
• In-depth knowledge of the entire data engineering process (design, development, deployment).
• Exposure with relational and NoSQL databases (PostgreSQL, Cassandra, DynamoDB, MongoDB).
• Experience with CI/CD, containers, Kubernetes, and infrastructure-as-code.
• Proficient in SQL and Python; able to mentor junior team members.

Responsibilities

• Participate in the data pipeline lifecycle, building data lakes, data warehouses and related processes.
• 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 appropriate solutions.
• Monitor and optimize performance, scalability, and security of systems.
• Participate in data governance and evaluation of new technologies.

Skills

Data engineering

SQL

Python

ETL pipelines

AWS

Kubernetes

Data modeling

DevOps

Mentoring

Communication

Education

Bachelor's degree

Tools

AWS

PostgreSQL

Cassandra

DynamoDB

MongoDB

Kubernetes

Kafka

Kinesis

Terraform

Job description

Alkami is seeking a Senior Data Engineer to design and maintain data lakes and warehouses for a B2B multi-tenant SaaS platform. You will own end-to-end data pipelines, contribute to governance, and optimize performance across the stack.

The role requires strong Python/SQL skills, experience with AWS data services, and the ability to mentor others in a remote-first, fast-growing environment. Join a culture focused on data-driven decisions and scalable data architectures.