Alkami TechnologyRemote
Sr. Data Engineer
United States of America
Full Time
2 hours ago
$120,000 - $150,000 USD
No H1B
Key skills
Data lakeData warehousingData pipeline lifecycleETL transformationSQLPerformance tuningAWS EMRAWS GlueAWS S3AWS EKSAWS LambdaAWS AthenaAWS RDSAWS MSKKafkaAWS KinesisRelational databasesPostgreSQLNoSQL databasesCassandraDynamoDBMongoDBData modelingDevOpsCI/CD pipelinesContainerized deploymentKubernetesInfrastructure as codePythonLegacy data warehouseTest automationAWS CloudFormationTerraformMPP Data WarehouseRedshiftGreenplumProblem-solving attitudeNoSQLAIMLETLData EngineeringData WarehousingData LakeAnalyticsAWSEKSLambdaS3RDSGlueAthenaKinesisPostgresSQL ServerSaaSCI/CDCommunicationTime ManagementSales
About this role
Alkami Technology is a digital sales and service platform provider for U.S. banks and credit unions. The Senior Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution, focusing on the entire data pipeline lifecycle and collaborating with cross-functional teams.
Responsibilities:
- 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:
- Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree
- Bachelor's degree in engineering, computer science, math, data engineering or another related field or equivalent work experience
- 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
- Identify opportunities for process improvement as well as efficiency in solutions
- Teamwork skills with a problem-solving attitude and willing to take a variety of approaches
- Strong experience with legacy data warehouse and ETL pipelines
- Demonstrated ability to mentor junior team members
- Excellent analytical and time management skills, with a proven ability to deliver value independently
- Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders
- Experience with multi-tenant, B2B2C SaaS offerings
- FinTech industry experience is preferred but not required
- AWS Cloud Formation/Terraform
- Understanding of MPP Data Warehouse (Redshift, Greenplum)