11 Results for Snowflake Data Engineer Jobs in Radnor, PA

Add your latest resume to match with open positions.

The job you are looking for is no longer available. Check out similar results below.

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight. Responsibilities: • Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products. • Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use. • Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery. • Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic. • Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions. • Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation. • Support integrations across HRIS and related platforms, including contributing to interface development where needed. • Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
2026-10-15T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-10-16T00:00:00Z

Data Scientist

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-22T00:00:00Z

Cloud Engineer II

Philadelphia, PA
onsite
Temporary / Contract
54 - 57 USD / Hourly
Cloud Engineer IIThis Statement of Work covers a six-week Phase 0 proof-of-concept engagement. Phase 0 is intended to validate feasibility, not to deliver an enterprise-scale production service.This position will deploy an open-weight model endpoint in the client's infrastructure in AWS, connect it to OpenCode, and provide enough evidence for the client to decide whether to proceed to Phase 1.The Phase 0 business case is based on validating whether open-weight inference can work for non-Opus coding workloads, with success criteria including model quality, latency, throughput, end-to-end developer flow, developer satisfaction, and a go/no-go decision for the next phase. Responsibilities• Deploy and configure an AWS-hosted, open-weight coding model endpoint using client-provided infrastructure.• Configure model-serving runtime, GPU allocation, endpoint exposure, health checks, service routing, basic error logging, credential handling, and repeatable deployment artifacts.• Expose the model endpoint through an OpenAI-compatible API path capable of supporting representative coding prompts.• Configure and validate OpenCode integration with the model endpoint, including any required adapter, proxy, gateway, or compatibility layer.• Demonstrate end-to-end OpenCode-to-model request flow for representative coding-agent workflows.• Demonstrate representative coding-assistance use cases, including code completion, code explanation, unit test generation, refactoring assistance, error diagnosis, small feature implementation, tool usage, repository/file-context prompts where supported prompts and agent skills, and OpenCode/Open Spec workflows.• Collect and save basic performance data in Grafana, including time to first token, end-to-end latency, tokens per second, concurrency behavior, error rate, GPU utilization, and memory utilization.• Implement baseline observability for the POC, including logs, health checks, basic metrics, and simple dashboard or metric views where feasible.• Provide reusable deployment and configuration artifacts, such as Helm values, Kubernetes manifests, scripts, runtime configuration, gateway/proxy configuration, runbook, troubleshooting notes, and environment assumptions.• Support limited developer validation with a small client-designated pilot group if access, timing, and dependencies allow.• Support a lightweight quality comparison between the open-weight model and client's current coding-assistant experience if time and access allow.• Provide preliminary Phase 1 sizing inputs, including throughput observations, bottlenecks, latency drivers, scaling considerations, recommended AWS instance families, and remaining unknowns.• Deliver a written final report covering architecture, deployment, OpenCode integration results, functional test results, performance measurements, technical gaps, security and operational considerations, cost and scale observations, reusable artifacts, and Phase 1 readiness.• Deliver a clear Phase 1 go/no-go recommendation, including required changes, unresolved risks, and recommended next steps for AWS-based enterprise-scale implementation.• Conduct a knowledge-transfer session with stakeholders at the end of the engagement.
2026-10-21T00:00:00Z

Azure Cloud Engineer AI & Automation

Malvern, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment. Responsibilities: • Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations. • Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform. • Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support. • Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards. • Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably. • Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge. • Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow. • Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights. • Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads. • Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
2026-10-01T00:00:00Z

Data/Information Architect

Wayne, PA
remote
Temporary / Contract
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem. Responsibilities: • Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance. • Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting. • Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets. • Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework. • Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs. • Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs. • Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability. • Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
2026-10-16T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
56 - 61 USD / Hourly
Data Scientist III (Supply Chain Optimization & Forecasting)Long Term ContractHybrid Philadelphia, PAPay: Available on W2OverviewWe are seeking an experienced Data Scientist III to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.Key ResponsibilitiesForecasting & Data Science<ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul>Inventory Optimization & MEIO<ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul>Optimization Engineering<ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul>Data Engineering & Operationalization<ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
2026-10-21T00:00:00Z

Data Analyst

Middletown, DE
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions. Responsibilities: • Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications. • Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems. • Analyze current data structures to support imports, exports, migration planning, and process automation opportunities. • Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations. • Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency. • Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders. • Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
2026-10-15T00:00:00Z

Database Administrator

Wayne, PA
onsite
Temporary to Hire
51.4615 - 59.587 USD / Hourly
We are looking for a Database Administrator to join a contract opportunity with the potential to become permanent, based in Wayne, Pennsylvania. This position supports a mixed enterprise data environment that includes Oracle/Lawson, Snowflake, AWS-based data services, and Drupal/Acquia platforms. The role is ideal for someone who can balance core database administration with data integration, reporting support, and cloud platform optimization. You will play a key part in keeping business-critical data dependable, secure, and well-structured for operational and analytical use. Responsibilities: • Oversee the day-to-day administration of Oracle/Lawson databases, including performance monitoring, backup coordination, recovery planning, and platform maintenance. • Partner with technical teams to support database needs for application updates, system enhancements, and production issue resolution. • Administer and improve Snowflake environments by refining data models, tuning workloads, and supporting scalable reporting structures. • Build and maintain AWS-based data pipelines using services such as S3, Lambda, and Glue to move and transform enterprise data efficiently. • Create and support integration processes across multiple business systems, with a focus on data validation, transformation, reconciliation, and consistency. • Prepare and organize Drupal/Acquia data for reporting, analytics, and downstream consumption by dashboards or business intelligence tools. • Validate migrated and integrated data to ensure completeness, accuracy, and alignment with business rules. • Develop complex SQL solutions to support data extraction, transformation, and reporting requirements across legacy and cloud platforms. • Document data movement, integration logic, and governance practices to improve transparency, quality, and long-term supportability.
2026-10-15T00:00:00Z

Data Analyst Basic (1-3 years)

Newark, DE
onsite
Temporary / Contract
30 - 30 USD / Hourly
<ul><li>Position: Data Analyst - Legal Entity Management (Contract-to-Hire)</li><li>Location: Newark, DE 19713</li><li>Schedule: 100% Onsite, Monday-Friday, 9:00 AM - 5:00 PM</li><li>Required Experience: 2+ years of experience working with legal entity documentation, onboarding, data gathering, or financial services operations</li><li>Tentative Pay Rate: $30.00 per hour</li></ul>Job DescriptionOur client is seeking a detail-oriented Data Analyst to join the CAPO - Legal Entity Management team supporting Global Alternatives. This role is responsible for reviewing and interpreting legal entity documentation, supporting entity onboarding and maintenance activities, ensuring data quality, and partnering with stakeholders across the business to meet regulatory and operational requirements.The ideal candidate will have strong analytical skills, experience handling sensitive information, exceptional attention to detail, and the ability to manage multiple priorities in a fast-paced environment.Key Responsibilities<ul><li>Support end-to-end legal entity onboarding and maintenance across firmwide platforms</li><li>Review, analyze, and interpret legal entity documents and supporting records</li><li>Gather, validate, and maintain legal entity and financial data</li><li>Handle sensitive PII and ensure compliance with data retention requirements</li><li>Prepare and support monthly, quarterly, and annual reporting activities</li><li>Maintain audit-ready documentation and evidence supporting regulatory controls</li><li>Partner with business stakeholders, operations teams, controllers, and regulatory groups</li><li>Conduct data quality reviews and resolve documentation or data discrepancies</li><li>Assist with process improvement initiatives, automation opportunities, and data governance projects</li><li>Support special projects aligned with legal entity management and reporting objectives</li></ul>
2026-10-20T00:00:00Z

11 results for Snowflake Data Engineer in Radnor, PA