Careers

Join a team that treats IT consulting like a craft, not a commodity.

IT professionals collaborating
Why Work Here

Real projects, real ownership

We're small enough that your work doesn't disappear into a big-firm queue, and established enough to offer steady, varied client work — consulting, development, and training side by side.

What you can expect

Flexible arrangements

On-site, remote, or hybrid, depending on the engagement and the role.

Varied client work

Consulting, development, and staffing engagements across different industries.

Room to grow

Training is part of what we do for clients — and part of how we invest in our own team.

A team, not a org chart

Small enough that people, not process, decide how work gets done.

Current Openings

Data Warehousing Specialist

Remote — Any Location Telecommuting Allowed

Salary: $97,000 / year

Job Duties

Design and lead end-to-end cloud migration strategies from legacy systems to Snowflake, ensuring data integrity, performance optimization, and minimal downtime. Develop scalable, production-ready ETL pipelines using Snowflake, Python and AWS Glue to support structured and semi-structured data transformation across environments. Integrate Snowflake with AWS services to enable efficient data orchestration, monitoring, and automation workflows. Create and maintain high-performance data models (both dimensional and normalized) to support analytical and reporting requirements, following industry best practices for data warehousing. Perform source-to-target mapping, data profiling, and transformation rule design to validate migrated datasets and ensure conformance to business rules and security policies. Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL/ELT), leveraging Snowflake’s native features like clustering, materialized views, and multi-cluster warehouses. Implement robust data governance and access control frameworks in Snowflake and AWS to enforce compliance, data lineage, and role-based access security. Lead performance tuning initiatives across Snowflake environments, focusing on compute sizing, query optimization, caching strategies, and storage cost controls. Utilize Python and AWS SDKs to automate data pipeline triggers, job monitoring, exception handling, and alerting for mission-critical workflows. Conduct unit, integration, and regression testing for ETL pipelines and data flows, identifying and remediating anomalies through root cause analysis and debugging techniques. Participate in Agile ceremonies (Scrum/SAFe) including sprint planning, backlog grooming, Continuously evaluate new AWS and Snowflake features and propose innovative solutions such as AI-enhanced data summarization or anomaly detection. Contribute to project governance through regular status reporting, highlighting development progress, unresolved risks, mitigation actions, and deployment readiness to project managers and sponsors. Can work remotely from any location. Telecommuting is allowed.

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