We are looking for a hands-on Data Engineer to design, build, enhance, and support scalable data pipelines within an enterprise data platform. The role will focus on integrating multiple source systems, transforming and validating data, and making trusted data available to downstream applications and consumption layers.
Locations (2)
Whitehouse Station, New Jersey, United States
Exchange Place, New Jersey, United States
Compensation
Bill Rate-$55
Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines for enterprise data sources.
Build ingestion frameworks for batch, incremental, file, database, and API-based data feeds.
Develop data transformations using SQL, Python and/or PySpark.
Implement source-to-target mappings and support complex data transformation requirements.
Develop reusable and configurable pipeline patterns to accelerate onboarding of new data sources.
Requirements
Nice to have: Snowflake
Nice to have: AWS
Nice to have: Azure
Nice to have: CDC
Nice to have: Event/streaming-based data integration
Owns end-to-end analytics products from data source to analytical products, serving HR and business leaders.
Responsibilities
Design, build and maintain apps, dashboards and reports
Partner with HR Operations, People Services, TA leadership, HR Business Partner leaders and Finance to understand business questions and scope requirements
Identify, analyze and interpret trends to support workforce and talent decisions
Translate findings into clear, visually effective stories and present or demo them to HR, TA and business leadership
Develop templates and automation, including AI-assisted tools, for recurring requests
Seeking an experienced Senior BI Analyst to support the design and delivery of Finance reporting, analytics, data products, and process-improvement solutions, serving as an onsite analytical partner to Finance stakeholders.
Compensation
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Responsibilities
Partner with the Finance Product Owner and Finance stakeholders to understand business processes, controls, and reporting needs
Design, build, and maintain Finance dashboards, published data sources, BI data models, operational reports, and self-service analytics solutions using Tableau, Power BI, or comparable platforms
Analyze end-to-end processes and data flows across ERP (SAP), CRM, billing, data warehouse, and reporting platforms
Optimize dashboard usability, query performance, data refresh schedules, metric consistency, and overall reporting reliability
Lead assigned workstreams through requirements, solution design, UAT, regression testing, reconciliation, implementation readiness, and stakeholder sign-off
Requirements
Bachelor’s or Master’s degree in Information Systems, Business Analytics, Finance, Accounting, Computer Science, Data Analytics, or a related field
The Senior Director, Enterprise Platforms leads enterprise architecture, client solutioning, and pre-sales strategy for pharmaceutical and life sciences organizations. This role bridges sales opportunity ownership with hands-on technical leadership, shaping complex omnichannel ecosystems that drive measurable business impact.
Build and deliver the production reporting layer for Talent Acquisition on a contract basis.
Compensation
Payrate: $60.00 - $63.00/hr.
Responsibilities
Establish and validate connections between Talent Acquisition source systems and the cloud data warehouse, partnering with Data Engineering and IT.
Build and maintain production-grade ELT pipelines, including API-based ingestion where source systems require it.
Configure Power BI connectivity and scheduled refresh so dashboards update automatically without manual data pulls.
Implement data quality checks and refresh monitoring so reporting issues surface and are remediated before leadership sees them.
Design, build, and deploy a query-ready dimensional data model supporting requisition, funnel, and hiring activity analytics.
Requirements
Bachelor's degree in Data Analytics, Data Science, Data Engineering, Computer Science, Information Systems, or a related field; or equivalent practical experience.
Lead enterprise pre-sales strategy, pipeline forecasting, and opportunity management for multi-million-dollar pharmaceutical platform engagements in collaboration with Sales and Account teams.
Facilitate executive discovery workshops and roadmap sessions with senior pharma stakeholders to define CRM, marketing automation, and data architecture strategies.
Produce architecture diagrams, interaction models, data flows, solution specifications, pricing estimates, and SOW documentation aligned to client and delivery requirements.
Establish governance frameworks, architecture standards, and AI-enabled solution patterns while guiding steering committees and mentoring internal architecture teams.
Data EngineerNewBooz Allen Hamilton · McLean, US