Senior Data Engineer

Alkami Technology

Senior Data Engineer building and maintaining data lake and warehousing solutions for a B2B SaaS solution. Leading design reviews and collaborating with cross-functional teams at Alkami.

Posted 6/24/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $120,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCassandraDynamoDBKafkaKubernetesMongoDBNoSQLPostgresPythonSQL

About the role

Key responsibilities & impact

Participate in the entire data pipeline lifecycle, focusing on 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 necessary infrastructure as code
Collaborate with cross functional teams to understand requirements and effectively design appropriate solutions
Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed
Participate in the evaluation of new technologies and tools that can improve performance of our system
Participate in data governance process
Contribute to the design and documentation of our data lake platform
Proficient in test automation solutions for data and ability to optimize performance
Gather technical and design requirements
Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects.
Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement
Participate in an on call rotation

Requirements

What you’ll need

Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree
Experience in the development of 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, MKS/Kafka/Kinesis
In-depth knowledge of the entire data engineering process (design, development, deployment)
Exposure with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles
Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code
Proficient in SQL (SQL Server, Postgres) and Python
Teamwork skills with a problem-solving attitude and willing to take a variety of approaches
Demonstrated ability to mentor junior team members
Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders.

Benefits

Comp & perks

remote-first environment
unlimited paid time off
401(k) with employer match

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipeline lifecycledata lakesdata warehousestest automationAWSSQLPythonDevOpsCI/CDdata modeling

Soft Skills

leadershipcommunicationteamworkproblem-solvingmentoringcollaborationdesign reviewtechnical inputcross-functional initiativesdata-driven decision-making