Data Operations Engineer

For our client, we are seeking a Data Operations Engineer to join the team of a leader in the Consumer Technology space. This role will lead operational priorities focused on execution quality, efficiency, safety, and measurable performance outcomes. You will collaborate with field leadership, support functions, and cross-functional stakeholders to improve accountability, service delivery, and operational consistency. The position offers the opportunity to influence operational scale, customer outcomes, and organizational performance within a technology-driven environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $120,000 – $130,000 annually Responsibilities Serve as the expert for data analytics and reporting Enable, develop, and maintain BI systems and reporting with Power BI Design and maintain data models in Snowflake and other databases Build and optimize data pipelines for efficient data flow Educate teams on effective data use for a data-driven culture Identify cost-saving opportunities related to data processes Document data workflows for transparency and continuity Qualifications B.S. or B.A. required 3+ years experience with Power BI development Experience with ETL tools including Alteryx, Python, and Airflow Familiarity with Snowflake data warehousing Experience integrating Salesforce data Proven project management skills in data-related projects Ability to quickly learn new data tools and technologies Benefits Health benefits Retirement benefits Paid time off Parental leave and benefits Life insurance Employee incentives and perks Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.