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Analytics​/Data Engineer

Job in Dayton, Montgomery County, Ohio, 45444, USA
Listing for: Diné Development Corporation
Full Time position
Listed on 2026-05-08
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Analytics / Data Engineer
We are seeking a skilled and motivated Analytics / Data Engineer to join our IT Enterprise Solutions team. This role is ideal for someone with a strong foundation in SQL Server, Oracle Databases, cloud data platforms (Azure and/or AWS), and business intelligence, who thrives on building reliable data pipelines and transforming data into trusted, analytics-ready models for reporting and decision-making.

The ideal candidate brings hands-on experience with Power BI (including semantic models, DAX, and data modeling) and a passion for delivering high-quality, scalable, and governed analytics solutions that support enterprise reporting, dashboards, and self-service BI.Responsibilities Data Engineering & Integration Design, develop, and maintain robust data pipelines and ETL/ELT processes using Azure Data Factory, SSIS, or similar tools.

Support and enhance data integrations between enterprise applications and external data sources (batch and near real-time).Manage and optimize Azure SQL PaaS and on-prem SQL Server and Oracle Database environments for performance, scalability, and security.

Collaborate with application teams to ensure seamless data feed operations and troubleshoot integration issues.

Participate in Dev Ops and CI/CD workflows for data and analytics solutions.

Analytics Engineering & Business Intelligence Develop, optimize, and govern Power BI semantic models (datasets), including relationships, measures, and calculated columns.

Write and optimize DAX measures to support complex business logic and performance-efficient reporting.

Develop and maintain Power BI dashboards and reports, ensuring usability, performance, and consistency across the organization.

Partner with business stakeholders to translate reporting requirements into scalable, reusable analytics assets.

Implement and enforce Power BI governance practices, including workspace design, dataset reuse, security (RLS), and deployment standards.

Data Governance, Quality & Security Implement and maintain data governance, data quality, lineage, and documentation practices.

Ensure compliance with data security, privacy, and access control standards across data and analytics platforms.

Support auditing, monitoring, and certification of enterprise datasets and reports.

Develop and maintain operational runbooks covering:

Break/fix procedures

Refresh restarts and failure remediation

Access provisioning and troubleshooting

Participate in ITIL-aligned processes including incident, problem, change, and release management.

Performs other related duties as assigned.

Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Applicants must be authorized to work in the United States without the need for current or future visa sponsorship.

Must reside in Eastern Time Zone.
3+ years of experience in data engineering, analytics engineering, or business intelligence roles.

Strong proficiency in SQL Server, Oracle, T-SQL, and Azure SQL PaaS.Hands-on experience with Power BI, including:

Semantic model (dataset) design

DAX measures and calculations

Report and dashboard development

Solid understanding of data modeling, dimensional modeling, and data warehousing concepts.

Experience supporting application data integrations and analytics use cases.

Strong performance tuning skills for both SQL queries and Power BI models.

Limited travel may be required.

Preferred Experience with Azure Data Factory, Azure Synapse, Azure Data Lake, or Fabric.

Familiarity with AWS data services (e.g., Redshift, S3, Glue).

Experience with SSIS, SSRS, and SSAS (Tabular).Exposure to Python or other scripting languages for data transformation and automation.

Experience with Power BI deployment pipelines, workspace governance, and tenant-level best practices.

Familiarity with Dev Ops and CI/CD pipelines for data and analytics workloads.

Experience with data cataloging, metadata management, and lineage tools.

Security+ certification or ability to obtain a DoD clearance is a plus.

About UsDiné Development Corporation (DDC) is a Navajo Nation owned family of companies that provides government agencies and commercial organizations with high-quality IT,…
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