Analytics / Data Engineer

Diné Development Corporation • Dayton, OH

9d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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 DevOps 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.

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 DevOps 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.

Benefits

• Eligible full-time employees receive a comprehensive benefits package, including medical, dental, vision, life and disability coverage, retirement savings with company match, paid time off, voluntary supplemental benefits, and access to an employee assistance program.
• The package also includes educational assistance, with tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level