Data Engineer
- Role
- Data Engineering
- Experience
- Senior
Open to US, CA only. Set where you work from to check your eligibility.
No BS summary
Data Engineer with 5+ years of experience, strong SQL Server and MongoDB skills, and working Python proficiency. US-based remote within PT/ET time zones required. Experience designing data models, pipelines, stored procedures and working with Azure data stack preferred.
Core skills
Required skills
Optional skills
Responsibilities
Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards. Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs. Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures. Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads. Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.
Languages and Frameworks
MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning. MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems. Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues. Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric. Python, working proficiency for scripting, automation, and data pipeline support. JS, Node.js, and joi experience a plus.
Tools
Experience maintaining projects using a distributed version control system such as Git and GitHub. Experience in automated pipeline deployment and schemas into production environments. You should be experienced with agile methods and the concepts behind continuous delivery. We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST. We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.
Education
BS in Computer Science and a minimum of five years of experience delivering production solutions
Focus
Minimum 5+ years working in Data Science. We expect you to have a passion and experience in shipping and maintaining production software products. You must have strong verbal and written skills. We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.
Environment
US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices. We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.
Your partner for AI, consulting, software development, and nearshore staffing.
What you'll do
- Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.
- Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.
- Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.
- Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.
- Develop new data pipelines, APIs, and data management tools and support continuous delivery across the end-to-end lifecycle.
What they require
- BS in Computer Science and a minimum of five years of experience delivering production solutions
- Minimum 5+ years working in Data Science
- Working proficiency in Python
- Experience maintaining projects using a distributed version control system such as Git and GitHub
- Experience with agile methods and continuous delivery concepts
Your partner for AI, consulting, software development, and nearshore staffing.