Note: The job is a remote job and is open to candidates in USA. GroupA is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and business intelligence initiatives. The role focuses on feature store expansion, data modeling, pricing semantic layers, data marketplaces, cognitive search, and scalable data applications while partnering with cross-functional teams.
Responsibilities
- Design, build, and maintain robust real-time and batch data pipelines to ingest, transform, and deliver structured, semi-structured, and unstructured data from multiple sources
- Develop and manage metadata-driven, real-time streaming pipelines and distributed data processing workflows at scale
- Build and expand the feature store through data modeling, pipeline development, feature building, and data transforms that accelerate ML model readiness
- Contribute to the design and build of pricing semantic layers, ontologies, and knowledge graphs to ensure consistent, reusable data definitions across the organization
- Support Data Marketplace development, enabling teams to discover, access, and share data products across the organization
- Develop cognitive search engine capabilities and support Data Syndication to distribute data across internal and external consumers
- Build and expand the feature store through data modeling, pipeline development, feature building, and data transforms
- Build data applications and support writeback capabilities that enable business users to interact with and act on data directly
- Optimize database performance and query efficiency to support large-scale analytics workloads
- Partner with cross-functional teams to understand data needs and translate them into scalable engineering solutions
Skills
- • •Location – Remote – but MUST be near Miramar, FL or Dallas, TX •
- • •Requirements - GC holder or USC required •
- • Bachelor's degree in Computer Science, Engineering, or related field
- • 5+ years of experience in data engineering, ETL development, or a related role
- • Proficiency in SQL and Python, including Pandas, PySpark, and Python functions
- • Experience with cloud data platforms (e.g., Databricks Unity Catalog) and pipeline orchestration tools (e.g. dbt)
- • App building skills— experience developing data apps, dashboards, or writeback solutions (e.g., Streamlit, Hex, or similar tools)
- • Experience building pricing semantic layers or data ontologies to standardize business definitions across teams
- • Demonstrated experience with data modeling, feature engineering, and building transforms for ML feature stores
- • Strong understanding of data modeling, warehousing concepts, and relational databases
- • Experience with data quality frameworks such as Great Expectations and Databricks Delta Sharing
- • Working knowledge of Semantic Engineering, flexible data modeling, and ontology design (OWL, knowledge graphs)
- • Familiarity with Data Governance frameworks, Master Data Management practices, and Data Migration methodologies
- • Experience supporting ML pipelines and working alongside Data Science teams
- • Knowledge of DevOps practices including CI/CD and version control (Git)
- • Strong communication skills and ability to work across technical and business teams
- • Attention to detail and commitment to data accuracy and integrity
Benefits
- Remote work, but must be near Miramar, FL or Dallas, TX
Company Overview