Senior Data Engineer (Business Intelligence)

Location: Austin, United States; hybrid workstyle aligned to an hirify.global office. Travel up to 20% required.

Salary: $88,900–$168,300 annually, plus eligibility for a discretionary performance-based bonus.

Company

hirify.global provides professional services to middle-market clients globally.

What you will do

• Create and maintain dimensional and 3NF data models aligned with business requirements.
• Design and develop ETL pipelines that consolidate data from multiple source systems into unified data platforms, data lakes, and warehouses.
• Define source-to-target mappings, business rules, and data transformations.
• Develop semantic models, reports, and dashboards using business requirements.
• Facilitate requirements sessions, perform data analysis, and identify data needed for business objectives.
• Collaborate with clients and team members across regions.

Requirements

• Bachelor’s degree or equivalent experience in mathematics, computer science, information systems, finance, accounting, economics, or analytics.
• 3+ years of experience designing data models across multiple subject areas and business domains.
• 3+ years of experience designing and developing business intelligence solutions.
• 3+ years of experience designing and developing scalable data pipelines to ingest, transform, and load data from multiple sources into data lakes and warehouses.
• Proficiency in SQL and experience with Python or Scala.
• Experience with major cloud platforms such as Microsoft Azure, AWS, or GCP, and data platforms such as Fabric, Databricks, or Snowflake.
• Experience with Git, DevOps, CI/CD, and version control.
• Experience with BI visualization tools such as Power BI, QuickSight, or Tableau.
• Strong written and verbal communication, critical thinking, problem-solving, teamwork, and independent work skills, including in virtual teams.
• Passion for solving complex business problems through data-driven solutions.

Nice to have

• Experience conducting solution or technical assessments.
• Experience with dbt, Spark, and big data technologies.
• Knowledge of Databricks.
• Working knowledge of information management tools such as Collibra, Informatica, Talend, Alation, or Purview.

Culture & Benefits

• Hybrid work combines flexibility with in-person collaboration and aligns team members to an hirify.global office.
• In-person work may support client needs, teamwork, development, or relationship-building; some roles may be virtual or primarily onsite.
• Competitive benefits and compensation package.
• Equal employment opportunity and reasonable accommodations are available.