Hiring: Senior Data Engineer - AdTech Company: FAMU National Alumni Association Location: Providence, RI Job Posted Time: 2026-09-17 05:16:57 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, Azure, BigQuery, Data Pipeline, Databricks, ELT, ETL, Event-Driven, GCP, Phoenix, PySpark, Python, SQL, SQL Server, Snowflake About the job Experience: •3+ years of experience working with SQL and relational database management systems •3+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc. •3+ years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata etc. Required Skills: •We are seeking a highly skilled •To join our Data Engineering team to design, build, robust and scalable solutions to support data-driven applications analytics and business intelligence solutions. •Partner closely with business stakeholders, analysts, product teams, and fellow engineers to engineer scalable, cloud-native data pipelines. Leveraging the modern GCP data stack you will own the full data lifecycle - from data modeling and ETL/ELT development to performance tuning, troubleshooting, and continuous improvement. •Must work a hybrid work schedule in one of our hub locations (Chicago area, Boston area, New York City, Dallas area, Phoenix area, Hartford CT, or Woonsocket RI). Qualifications: •Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services. •Applied hands-on capability in dimensional data modeling, schema design, and data warehousing •Applied hands-on capability in troubleshooting data issues •Applied hands-on capability in various performance improvement techniques •Willingness to identify and implement process improvements, and best practices as well as ability to take ownership to work within a fast-paced, collaborative, and team-based support environment •Excellent oral and written communication skills •Operational familiarity with real-time data integration, CDC (Change Data Capture), or event-driven data architectures. •Exposure to cloud migration initiatives and hybrid data architectures. Compensation: •$92,700 - $222,480 / year •Competitive benefits and rewards package •This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!