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# Sr. Data Engineer

- **Company:** Alkami
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Automation of Tests, Big Data, Software as a Service, Databases, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Software Design Patterns, DevOps, Amazon DynamoDB, Greenplum, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, NoSQL, Performance Tuning, Standard Sql, Software Engineering, SQL Databases, Data Lakes, Kubernetes, Information Technology, Cassandra, Apache Kafka, Data Management, Terraform, Data Pipelines
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-data-engineer--3e228ffa-b20f-4ccc-9852-f496c0224d5b

## About the Role

Sales, Banking Services, Onboarding, Credit Union, Marketing Software, Software as a Service (SaaS), LinkedIn, Design Patterns Programming Methodologies, Data Management, Database Extract Transform and Load (ETL), The Senior Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution. Position requires a demonstrated ability to design processes from end to end and a strong technical understanding of modern data pipelines and strategies. In depth knowledge of multiple data sources, data design patterns, ETL transformation, SQL and performance tuning are required., Typically requires a minimum of 5 years of related experience; or 3 years and an
advanced degree

Education Level 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

Preferred

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)

Physical Demands
Ability to lift a minimum of 5 pounds to a maximum of 10 pounds unassisted
Ability to stand, sit, stoop, walk, stretch, reach, and use full range of body motions
Manual dexterity as required for specific equipment
The salary range for this position is: $120,000 - $150,000

## Description

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