10 Results for Data Engineer Jobs in Wilmington, DE

Add your latest resume to match with open positions.

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 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.
2026-10-01T00:00:00Z

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.
2026-09-24T00:00:00Z

Snowflake Data Engineer

Radnor, PA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives. Responsibilities: • Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases. • Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable. • Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption. • Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite. • Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate. • Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes. • Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability. • Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers. • Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions. • Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
2026-09-23T00:00:00Z

Business Analyst

Fort Washington, PA
onsite
Temporary / Contract
44 - 49 USD / Hourly
We are looking for a detail-oriented analyst to support quality oversight and speech analytics initiatives for a compliance-focused environment in Fort Washington, Pennsylvania. This Long-term Contract position will partner with business teams to turn call data into actionable insights, strengthen audit readiness, and improve monitoring programs. The role is well suited for someone who combines analytical thinking, strong communication skills, and hands-on experience with reporting tools and post-call review platforms. Responsibilities: • Design and refine speech and keyword searches that help uncover trends, exceptions, and potential compliance concerns within recorded interactions. • Partner with cross-functional stakeholders to evaluate business processes, review audit selections, and recommend practical improvements based on findings. • Lead conversations with managers and operational teams to clarify updates, reinforce expectations, and support adoption of revised procedures. • Produce monitoring results and analytic insights that contribute to training materials and enterprise-wide education efforts. • Maintain organized records and classification structures to support data accuracy, traceability, and dependable system performance. • Prepare recurring and ad hoc reports, assist with workflow reviews, and document observations from quality and compliance audits. • Investigate recurring issues by performing root cause analysis and identifying drivers behind underperforming categories or trends. • Support internal departments with monthly audit activities, audit response coordination, and follow-up actions tied to findings. • Collaborate with analysts on reporting enhancements, dashboard development, and data visualization improvements using tools such as Tableau. • Provide day-to-day guidance to less experienced team members and serve as a knowledgeable resource for analytics and quality-related questions.
2026-10-01T00:00:00Z

Business Analyst

Wayne, PA
onsite
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Business Analyst to join a contract opportunity with a path to a permanent role supporting supply chain and finance initiatives in Wayne, Pennsylvania. This position offers broad exposure to operational workflows, client connectivity efforts, enterprise applications, and innovative AI-driven business solutions. The ideal candidate will partner with stakeholders across business and technical teams to clarify needs, improve processes, and help drive successful project outcomes. Responsibilities: • Partner with senior analysts and cross-functional teams to support initiatives related to client setup, application rollouts, systems integration, and workflow enhancement. • Elicit, organize, and document business and functional needs so stakeholders and technical teams share a clear understanding of project goals. • Act as a central point of coordination among internal users, operations staff, external clients, vendors, and technology teams to keep work aligned and moving forward. • Convert operational challenges and business objectives into practical, well-defined requirements that guide solution planning and execution. • Facilitate user acceptance testing activities by preparing test scenarios, tracking outcomes, and investigating issues when results do not match expectations. • Oversee several assignments at once while maintaining strong attention to detail, accurate documentation, and consistent follow-through. • Analyze both day-to-day process details and larger business objectives, asking thoughtful questions to uncover gaps, risks, or incorrect assumptions. • Contribute to projects involving supply chain operations, finance-related processes, and emerging AI applications where business value can be improved.
2026-10-01T00:00:00Z

AI Engineer

Fort Washington, PA
onsite
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments. Responsibilities: • Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability. • Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools. • Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems. • Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests. • Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge. • Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution. • Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability. • Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
2026-10-01T00:00:00Z

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.
2026-10-05T00:00:00Z

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

Sr. Cloud Engineer

Camden, NJ
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for an experienced Sr. Cloud Engineer to lead the design and operation of secure, scalable cloud environments. This role focuses on building resilient multi-cloud infrastructure across AWS and Microsoft Azure while advancing automation, governance, and operational reliability. The ideal candidate brings strong expertise in Terraform, cloud architecture, and enterprise-wide security practices, along with a practical approach to performance monitoring and cost control. Responsibilities:• Build and manage multi-cloud infrastructure across AWS and Azure with a focus on security, scalability, and reliability.• Create and enhance infrastructure automation using Terraform to standardize provisioning, configuration, and ongoing platform management.• Establish enterprise cloud governance by designing landing zones, multi-account structures, and policy controls across AWS and Azure environments.• Monitor platform health, security posture, compliance status, and service availability using native and third-party observability tools.• Partner with application and infrastructure teams to develop backup, disaster recovery, high-availability, and failover solutions that support business continuity.• Review cloud environments regularly to improve resource utilization, strengthen security controls, and reduce unnecessary spend.• Advise stakeholders on cloud architecture, operational best practices, troubleshooting, and approaches for moving on-premises systems into cloud platforms.• Design and maintain identity and access management models, including role-based access and federated identity solutions across cloud accounts and subscriptions.• Produce and maintain clear technical documentation covering architecture standards, configurations, procedures, and support processes.• Contribute to capacity planning, performance tuning, and long-term platform optimization initiatives across enterprise cloud services.
2026-09-23T00:00:00Z

10 results for Data Engineer in Wilmington, DE