Enterprise Data Warehouse

Enterprise Data Warehouse Jobs

3 jobs found

1d ago

Data Analyst

Baptist Health Arkansas Little Rock, AR

Little Rock, AR

1d ago

Full time Data Analysis Data Analytics Data Integration

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Job Description

The Data Analyst will build and maintain automated data capabilities within the Enterprise Data Warehouse (EDW) to support reliable delivery, data integrity, and monitoring.

Responsibilities

Develop automated data systems and oversee data normalization processes within the Enterprise Data Warehouse (EDW).
Engineer end-to-end automated solutions focused on data integrity, timely delivery, and proactive monitoring.
Collaborate with Operational Leaders, Business Intelligence Analysts, and Data Engineers to deliver “set-it-and-forget-it” workflows.
Automatically aggregate complex datasets and provide raw data for downstream analysis.
Act as an early warning mechanism by notifying stakeholders when specific anomalies occur or unfavorable thresholds are met.
Convert manual data pulls into efficient, automated processes that produce intelligence with less effort.

Requirements

Bachelor’s degree required; emphasis in data analytics, mathematics, or information technology is preferred.
Two years of relevant experience in data analytics preferred.
Strong SQL skills required.
Google BigQuery skills required.
Ability to communicate effectively with all levels of staff.
Ability to quickly learn and understand complex data sets.
Applicants must be authorized to work in the U.S.; the role cannot sponsor or take over sponsorship of an employment Visa at this time.

Technologies

SQL
Google BigQuery
Enterprise Data Warehouse (EDW)

Location, Department, and Schedule

Location: Little Rock, AR (onsite)
Department: Decision Support
Shift: Day
Working hours: 8am - 5pm
Work authorization: 80.00 hours bi-weekly

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7d ago

Data Engineer

Pathway Partners New York, NY

New York, NY

7d ago

$110k - $124k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Pathway Partners is supporting a client team that is deploying multiple applications for a government agency, and they need an experienced Data Engineer to help deliver reliable reporting and data workflows. This hybrid role is based in New York, NY, with on-site expectations to support project execution and ongoing data import and analytics work, including Microsoft Power BI development.

The position centers on importing key data from established reporting environments, producing business reporting for key metrics, and acting as a Microsoft Power BI subject matter expert within the organization’s Power BI framework. The salary range for this role is USD 110,000 to 124,000 per year, and candidates should have at least 4 years of relevant experience.

What you’ll do

Assist in managing project execution from start through completion
Create business reports that summarize key metrics after data is imported from reporting databases
Import key data points on key factors from multiple reporting sources, including reporting databases and an Enterprise data warehouse
Build ad-hoc reports based on requested data metrics
Create business reports for other departments, including tracking with relevant metrics
Serve as a Microsoft Power BI SME, advising on business report creation and workspace management within the new Microsoft Power BI framework as needed
Create new Power BI business reports, datasets, and dashboards, including paginated reports when required

What you bring

Minimum 4 years of experience with Oracle and MS SQL Server 2028, including SQL and PL/SQL
Minimum 4 years of experience with Microsoft Power BI, MS Excel, and VB Script

Technologies

Oracle
MS SQL Server 2028
SQL, PL/SQL
Microsoft Power BI, Power BI
MS Excel
VB Script
Microsoft Power BI framework

Location and work requirements

Hybrid work in New York, NY
Client requires 3 days in-office and 2 days remote
Candidates must live in commuting distance from NYC
Typically requires 7-hour workdays

Benefits

Health insurance provided to full-time workers
Competitive benefits
12 holidays per year, in addition to vacation and sick leave

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2mo ago

Data Scientist (W2 Only)

HRU Tech Sterling Heights, MI

Sterling Heights, MI

2mo ago Closed

$60 - $60/hr Full time Analytics Big Data Business Analytics

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

HRU Tech is seeking a Data Scientist on a W2 basis for an onsite role in Sterling Heights, Michigan. The position centers on designing, building, and maintaining enterprise data infrastructure to support Combat Mission Systems operations, delivering scalable data models and efficient pipelines while ensuring secure, reliable access for analytics, reporting, and operations.

Responsibilities

Create and implement conceptual, logical, and physical data models that faithfully reflect the organization's data.
Collaborate with business analysts, architects, developers, and stakeholders to elicit requirements and align models with business and technical needs.
Maintain centralized data dictionaries, metadata repositories, and enterprise data standards.
Enhance data infrastructure performance through tuning, reducing redundancy, and improving scalability and reusability.
Design and support data integration solutions across multiple systems and platforms.
Conduct reverse engineering of existing databases and data structures as needed.
Develop and maintain documentation, naming conventions, coding standards, and data governance practices.
Ensure data is securely stored, efficiently managed, and accessible for analytics, reporting, and operational use.
Implement data validation, quality control, and data integrity processes.
Tune data pipelines for performance, scalability, and reliability.
Support data scientists, analysts, and engineering teams by ensuring infrastructure meets operational and analytical requirements.
Troubleshoot data infrastructure issues and perform ongoing system monitoring and maintenance.
Assist with configuration control, change impact analysis, and enterprise data architecture management.
Identify and manage Authoritative Sources of Truth databases and related data integrations.
Support data replication and transformation activities within Midas and AWS cloud environments using Power BI and related technologies.

Requirements

Bachelor's degree in Data Management, Data Science, Mathematics, Statistics, or a related field.
Minimum of six years of relevant experience.
Experience designing and maintaining enterprise data models and data infrastructure.
Solid understanding of data warehousing concepts and data architecture principles.
Experience with ERDs, dimensional modeling, normalization, and metadata repositories.
Power BI
SQL
AWS and AWS Redshift
Oracle
SSAS
MS Excel
Visual Basic
MATLAB and Simulink
Mathcad
MagicDraw
Midas
Alation
Dataiku
Experience with cloud-based data services such as AWS or Azure
Familiarity with big data technologies including Hadoop or Spark
Background in data governance and data quality methodologies
Strong analytical and problem-solving abilities
Excellent written and verbal communication skills
Experience in Agile or Scrum environments
Ability to collaborate effectively with both technical and non-technical stakeholders

Technologies

Power BI
SQL
AWS Redshift
AWS
Oracle
SSAS
MS Excel
Visual Basic
MATLAB
Simulink
Mathcad
MagicDraw
Midas
Alation
Dataiku
Azure
Hadoop
Spark

Position Overview

The Data Infrastructure and Data Modeling Engineer will support the design, development, and upkeep of the enterprise data infrastructure for Combat Mission Systems operations. The role is responsible for creating scalable data models, optimizing data pipelines, and ensuring data is secure, reliable, and accessible across complex systems and large datasets.

Work Environment

Highly collaborative setting that supports engineering, analytics, and enterprise data initiatives.
Focus on enterprise-scale data architecture, governance, and digital transformation.
Combination of technical implementation, stakeholder collaboration, and process improvement activities.

Preferred Qualifications

Master's degree in mathematics, statistics, engineering, business, applied sciences, management information systems, or a related field.
More than ten years of relevant experience.
Experience using structured problem-solving methodologies.
Experience supporting engineering or manufacturing organizations.
Experience collaborating directly with development teams.
Familiarity with Agile performance metrics and reporting.
At least one year of Scrum or Agile management experience.
Knowledge of technical systems and requirements related to combat vehicles.

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Enterprise Data Warehouse Jobs

Data Analyst

Data Engineer

Data Scientist (W2 Only)

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