Business Intelligence Engineer

Job Description

Job Description

CrossCountry Consulting is the transformation partner for the Office of the CFO. As a trusted advisor to Fortune 500 companies, emerging growth market leaders, and private equity sponsors, we combine deep domain expertise with the power of data, AI, and technology to modernize workflows, drive human-centered change, and maximize transaction value. Grounded in our Core Values, we are committed to solving today's most complex challenges while delivering a better experience for our clients, our people, and our communities. When you join CrossCountry, you become part of a team that believes in collaboration, generosity, and the drive to help our clients work smarter, build resiliency, and prepare for the future.

We’re building a modern enterprise data warehouse on Snowflake and need a BI Engineer who will serve as our in-house data engineering expert for the BI platform. You’ll build and maintain the transformation layer, data models, and Snowflake environment behind our reporting, working alongside the integrations team that handles sourcing and landing. You’ll partner with finance, sales, and operations leaders to define metrics and deliver trusted reporting end to end. And, as a member of the Data and Business Intelligence team, you’ll also help build the Power BI dashboards when the work calls for it.

• Maintain the BI Snowflake environment: schemas, roles and access, performance tuning, warehouse sizing, and cost monitoring 

• Build and optimize Power BI semantic models and dashboards (star schemas, DAX measures, row-level security), tuning DirectQuery and Import models against Snowflake 

• Translate business requirements, KPIs, and metric definitions into technical designs. 

• Set engineering standards for naming, code review, CI/CD, and documentation 

• Partner with the integrations team to define what the BI platform needs from landed data and resolve upstream issues 

• Own data quality in the transformation layer: testing, monitoring, reconciliation, and root-cause analysis 

• Write complex, performant SQL to model, transform, and validate data 

• Develop and maintain dbt models (staging, intermediate, marts) with tests, documentation, and version control 

• Set up and tune Snowflake Cortex Analyst and Semantic Views so natural-language questions return accurate answers 

• Evaluate, test, and pilot AI-enabled analytics, such as natural language querying over semantic models, AI-generated commentary, and automated variance explanation. 

• Mentor analysts and stakeholders on data models and self-service 

• Pitch in with PowerBI report and dashboard builds when needed.

• 5+ years in data engineering, analytics engineering, or BI engineering 

• Bachelor’s degree in Finance, IT, Information Systems, Engineering, or a related field (or equivalent experience) 

• Advanced SQL and dbt, with a solid grasp of dimensional modeling and data warehousing concepts 

• Deep hands-on Snowflake experience, including performance tuning, access control, and cost management 

• Strong Power BI skills, including DAX, data modeling, and publishing and managing workspaces 

• Git and CI/CD experience for analytics code 

• Working fluency with AI tools in analytics or engineering work, with sound judgment about their limits, including inaccurate or ungrounded answers 

• Clear communication with technical and non-technical audiences, and the ability to translate business needs into technical requirements and carry them through to deployment with strong attention to detail

• Experience building ELT pipelines and data ingestion (Fivetran or similar, including API-based sources) 

• Python for scripting and automation 

• Experience with orchestration tools (Airflow, Dagster, or similar) 

• Infrastructure-as-code experience (Terraform or similar) for Snowflake 

• Hands-on experience with Snowflake Cortex Analyst, semantic views, or similar natural-language-to-SQL tools 

• Familiarity with data governance, cataloging, and lineage tooling 

• Background in finance, FP&A, or sales analytics 

• Exposure to Tableau or other BI tools

CrossCountry Consulting is required to include an estimate of the compensation range for this role. The following range takes into account a wide range of factors including but not limited to, skills, experience, education, licenses, certifications, business needs, and internal equity. An estimate of the current range is $130,000 - $185,000 per year + annual bonus + additional benefits. 

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Benefits Summary

The CrossCountry total rewards package includes comprehensive healthcare options, including medical, dental, and vision coverage; flexible spending accounts; and a 401(k) with company matching. Additionally, employees can take advantage of generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs, all designed to support both professional growth and personal well-being. For detailed information about benefits at CrossCountry, please visit our dedicated benefits site: - consulting.com/careers/benefits/.

Equal Employment Opportunity (EEO)

CrossCountry provides equal employment opportunities (EEO) to all employees and applicants for employment and believes that respect and fair treatment are critical to creating a productive and inclusive workplace. 

As an equal opportunity employer, CrossCountry is fully committed to comply with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.