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Sr IT Operations​/Enterprise Data & Analytics - Hybrid

Job in Wilmington, New Castle County, Delaware, 19894, USA
Listing for: Simple Solutions
Full Time, Contract position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Database Administrator
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Sr IT Operations / Enterprise Data & Analytics - Hybrid

Sr IT Operations / Enterprise Data & Analytics - Hybrid

C2H | Simple Solutions | United States

Posted On 01/21/2026

Job Information

Health Care

Work Experience 10+ Years

65-75

City Wilmington

State/Province Delaware

19801

Job Description

Duration: 6-Month Contract to Hire

Department: IT Operations / Enterprise Data & Analytics

Position Overview

We are seeking a Data Platform Engineer with 8–10 years of hands‑on experience in SQL Server development, SQL Server administration, ETL using Microsoft Visual Studio, Stored Procedures, schema design, and enterprise data integration. The role includes building ETL pipelines, designing and maintaining SQL Server databases, implementing dimensional models, and supporting secure, reliable data flows across the organization. Responsibilities include ingesting data from diverse sources and delivering processed data to downstream applications via direct integrations or structured flat file outputs.

Key Technical Skills
  • T?

    SQL Expertise (Stored Procedures, functions, triggers, complex queries, performance tuning)
  • ETL Development using Microsoft Visual Studio (SSIS or equivalent Visual Studio‑based workflows)
  • Database Design & Architecture (schemas, tables, indexes, partitions, constraints)
  • User/Role Administration & Security Management (permissions, access control, least privilege)
  • Data Ingestion from diverse sources (databases, APIs, CSV, Excel, JSON, XML, SFTP)
  • Downstream Data Delivery (direct integrations, scheduled flat?file exports)
  • Dimensional Modelling (facts, dimensions, star/snowflake schemas)
  • Data Validation & Quality Controls
  • Troubleshooting of SQL Server, ETL jobs, pipelines, performance issues, and integration failures
  • Working knowledge of Cognos (reporting objects, data structures, SQL behind models)
  • Experience with IQMS (advantage but NOT required)
Data Platform Development & Support
  • Build, configure, and maintain SQL Server databases , schemas, indexing, and data structures.
  • Develop and optimize Stored Procedures , T?

    SQL logic, and ETL components using Visual Studio.
  • Manage data ingestion from databases, APIs, and file‑based sources (CSV, Excel, JSON).
  • Deliver processed data to downstream systems via direct integrations or flat?file exports .
  • Monitor and troubleshoot ETL jobs, scheduled tasks, and automated workflows.
  • Investigate discrepancies, system issues, and integration failures to ensure data reliability.
  • Support operational and financial month?end data processes.
  • Maintain enterprise dataflows, transformation logic, and data validation checks.
  • Design and maintain dimensional models , including fact and dimension tables.
  • Ensure modeling consistency for reporting and analytical usage.
  • Maintain data models and scheduled reporting workflows.
  • Support Excel‑based financial and operational reporting processes.
Security, Compliance & Documentation
  • Manage SQL Server roles, users, permissions, and access controls.
  • Maintain logs, backup reports, and audit trails.
  • Conduct security and access?compliance reviews.
  • Maintain documentation for dataflows, ETL processes, integrations, and operational procedures.
  • Provide periodic project updates, issue logs, and summaries to leadership.
Qualifications Required
  • 8–10 years of hands‑on experience with SQL Server development, administration, and ETL using Microsoft Visual Studio.
  • Strong T?

    SQL skills, Stored Procedure development, query tuning, and schema design.
  • Experience implementing and managing SQL Server security frameworks.
  • Strong background in Dimensional Modelling (fact/dimension design, star/snowflake schemas).
  • Proven ability to ingest data from multiple source systems and deliver to downstream systems via integrations or flat files.
  • Experience supporting enterprise data warehouses or reporting environments.
  • Strong analytical, troubleshooting, communication, and documentation capabilities.
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