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3 results for Database Manager in New Castle, DE

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.
2026-08-21T00:00:00Z

Data Analyst

New Holland, PA
onsite
Permanent / Full Time
100000 - 110000 USD / Yearly
Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. Key Responsibilities Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms. Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. Design, develop, and support operational dashboards and reporting solutions using Power BI. Assist with migration of legacy reporting processes to modern business intelligence platforms. Manage datasets, semantic models, report distributions, and reporting governance processes. Collaborate with business leaders to define reporting requirements and establish data standards. Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness. Qualifications Experience within the Property & Casualty insurance industry is required Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. 8+ years of data analytics, data operations, or business intelligence Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. Experience with Microsoft Fabric and Medallion Architecture methodologies. Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements. Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. Experience with Origami and/or DXC Assure Claims is a plus.
2026-09-03T00:00:00Z

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.
2026-08-19T00:00:00Z