Sr. Data Engineer

Alkami Technology•Bentonville, AR

7d•$120,000 - $150,000•Remote

About The Position

The Senior Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS platform. The role requires the ability to design processes end to end and a strong technical understanding of modern data pipelines and strategies, including multiple data sources, data design patterns, ETL transformation, SQL, and performance tuning. The engineer will participate in the data pipeline lifecycle, contribute to the design and documentation of the data lake platform, and collaborate with cross-functional teams to gather requirements and deliver appropriate solutions. The role also includes code and design reviews, mentoring, data governance, testing and performance optimization, monitoring and troubleshooting, technology evaluation, and participation in an on-call rotation. The position is remote-first and may be remote within the U.S. The stated salary range is $120,000–$150,000.

Requirements

Typically, at least 5 years of related experience, or 3 years of related experience and an advanced degree.
Bachelor’s degree in engineering, computer science, math, data engineering, or a related field, or equivalent work experience.
Experience developing 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, and MKS/Kafka/Kinesis.
In-depth knowledge of the data engineering process, including design, development, and deployment.
Exposure to relational and NoSQL databases such as PostgreSQL, Cassandra, DynamoDB, and MongoDB, as well as data modeling principles.
Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure as code.
Proficiency in SQL (SQL Server and Postgres) and Python.
Ability to identify opportunities for process improvement and efficiency in solutions.
Teamwork skills, a problem-solving attitude, and willingness 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, including experience providing technical input to technical and non-technical stakeholders.
Ability to lift 5 to 10 pounds unassisted; stand, sit, stoop, walk, stretch, reach, and use a full range of body motions; and demonstrate manual dexterity as required for specific equipment.
Must be eligible to work in the U.S.; employment sponsorship is not available.

Nice To Haves

Experience with multi-tenant, B2B2C SaaS offerings.
FinTech industry experience.
Experience with AWS CloudFormation or Terraform.
Understanding of MPP data warehouses such as Redshift or Greenplum.

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 design appropriate solutions.
Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed.
Participate in evaluating new technologies and tools that can improve system performance.
Participate in the data governance process.
Contribute to the design and documentation of the data lake platform.
Use test automation solutions for data and optimize performance.
Gather technical and design requirements.
Communicate with technical and non-technical team members to ensure project alignment and execution.
Participate in cross-functional initiatives that promote data-driven decision-making and continuous improvement.
Participate in an on-call rotation.