Senior Data Engineer

Lansing, MI, US • Posted 3 hours ago • Updated 40 minutes ago
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Job Details

Skills

  • risk identification
  • Root Cause Analysis
  • Data Transformation
  • Data Analytics
  • Data Visualization
  • SQL
  • Business Intelligence
  • Power Bi
  • Data Modeling
  • Software Life Cycle
  • Data Governance
  • Data Pipelines
  • Azure Data Factory
  • data engineering
  • Data Integration
  • Data Integrity
  • Data Warehousing
  • Risk Analysis
  • Azure SQL
  • Predictive Analytics
  • Requirements Gathering
  • Stakeholder engagement
  • Data Quality Management
  • Stakeholder Management
  • Business requirements analysis
  • API Integration
  • Executive Reporting
  • ETL Development
  • Microsoft SQL Server
  • Advanced SQL Queries
  • Microsoft Fabric
  • Business Analytics
  • Portfolio Reporting
  • Executive Dashboards
  • Executive Scorecards
  • KPI Development
  • Portfolio Analytics
  • Semantic Models
  • Business Intelligence Architecture
  • Reporting Automation
  • Data Reliability
  • Trend Analysis
  • Compliance Monitoring
  • Financial Data Analysis
  • Portfolio Performance Reporting
  • Project Performance Analysis
  • Resource Analysis
  • Operational Data Analysis
  • Ad Hoc Reporting
  • Technical Requirements Documentation
  • Data Definitions

Summary

Posting Title: Senior Data Engineer

City: Lansing(Hybrid)

Interview Process - Virtual Interview via MS Teams video. Location Requirement
  • Local candidates ONLY.
  • Candidate MUST be located in Michigan at the time of submission and be able to abide by the hybrid work schedule.
Job Description Top Skills & Years of Experience
  • Candidates MUST have strong project management reporting & portfolio analytics experience.
  • A minimum of three (3), and preferably four to seven (4 7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline.
  • Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques.
  • Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms.
  • Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures.
  • Clear and concise written and verbal communication is crucial to success and productivity in this role.
Senior Data Engineer Portfolio Reporting and Business Intelligence Position Summary

We are seeking an experienced Senior Data Engineer to support statewide portfolio reporting, business intelligence, and data analytics for an enterprise Investment Management program.

The successful candidate will serve as a technical and analytical resource supporting Investment Management and Project Portfolio Management teams. The resource will be responsible for designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions that enable effective portfolio governance and performance management.

Working collaboratively with executive leadership, portfolio managers, project managers, business stakeholders, and technical teams, the Senior Data Engineer will transform data from multiple enterprise systems into actionable business intelligence supporting investment management, project oversight, risk identification, compliance monitoring, and executive decision-making.

The resource may also develop reporting and analytical capabilities supporting broader enterprise IT portfolio, Project Portfolio Management (PPM), and Investment Management processes.

Position Responsibilities Portfolio Reporting and Business Intelligence
  • Design, develop, implement, and maintain enterprise dashboards, executive scorecards, and business intelligence solutions supporting statewide IT investment management.
  • Develop standardized portfolio reporting supporting investments, project performance, portfolio governance, and executive oversight.
  • Design meaningful Key Performance Indicators (KPIs), portfolio metrics, and visualizations that communicate organizational performance and portfolio health.
  • Develop automated reporting processes that improve reporting accuracy, consistency, and timeliness.
  • Produce recurring and ad hoc executive reports supporting leadership, governance bodies, and stakeholders.
Data Engineering and Integration
  • Design, develop, and maintain data pipelines integrating information from Project Portfolio Management (PPM) platforms, business intelligence environments, financial systems, governance repositories, and other enterprise data sources.
  • Develop, optimize, and maintain complex SQL queries, data models, and transformation processes.
  • Design scalable data models that support enterprise reporting and analytical capabilities.
  • Ensure data quality, consistency, integrity, and reliability across reporting environments.
  • Recommend improvements to enterprise data architecture supporting investment management and portfolio reporting.
Portfolio Analytics
  • Analyze project, portfolio, financial, schedule, resource, governance, and operational data to identify trends, risks, opportunities, and emerging issues.
  • Assess project health, risk management effectiveness, deliverable quality, and compliance with applicable standards and governance requirements.
  • Perform root cause analysis to identify systemic portfolio issues and recommend corrective actions.
  • Identify risks and opportunities requiring escalation.
  • Develop predictive and trend-based reporting supporting proactive portfolio management and investment decision-making.
Business Analysis and Stakeholder Engagement
  • Facilitate meetings with business stakeholders to identify reporting requirements, performance measures, and analytical needs.
  • Gather, analyze, and document business and technical requirements for enterprise reporting solutions.
  • Translate business requirements into technical reporting and dashboard solutions.
  • Recommend reporting strategies, visualization approaches, and analytical solutions that improve executive decision-making.
  • Document business requirements, technical specifications, data definitions, metadata, and reporting standards.
Continuous Improvement
  • Identify opportunities to automate manual reporting activities and improve reporting efficiency.
  • Recommend enhancements to portfolio reporting processes, governance metrics, and business intelligence capabilities.
  • Support development and maintenance of statewide reporting standards supporting project management and investment management.
  • Participate in continuous improvement initiatives supporting Investment Management programs and enterprise reporting capabilities.
  • Provide knowledge transfer, documentation, and technical guidance supporting long-term sustainability.
Minimum Requirements
  • A minimum of three (3), and preferably four to seven (4 7) years of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline.
  • Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions.
  • Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques.
  • Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms.
  • Experience gathering, analyzing, and documenting business requirements and translating those requirements into technical reporting and analytical solutions.
  • Experience working directly with business stakeholders to define reporting requirements, KPIs, and performance measures.
  • Demonstrated experience analyzing portfolio, project, financial, operational, or governance data to support executive decision-making.
  • Strong analytical and problem-solving skills with demonstrated experience performing root cause analysis, identifying trends, and making data-driven recommendations.
  • Experience developing and optimizing SQL queries, data models, and data transformation processes.
  • Excellent written and verbal communication skills with the ability to communicate technical information effectively to both technical and non-technical audiences.
  • Demonstrated ability to work independently while managing multiple assignments, priorities, and stakeholder expectations.
Preferred Qualifications
  • Experience with Project Portfolio Management (PPM) systems such as Clarity, ServiceNow PPM, Planview, Microsoft Project Online, or similar platforms.
  • Portfolio management, investment management, project governance, or executive portfolio reporting experience.
  • Microsoft Power BI, Microsoft Fabric, Azure Data Factory, Azure SQL, Microsoft SQL Server, or comparable Microsoft analytics technologies.
  • Enterprise data warehousing, semantic models, or business intelligence architecture.
  • Developing automated reporting solutions using APIs, ETL processes, scripting languages, or data integration platforms.
  • Government, public sector, or large enterprise reporting environments.
  • Project management methodologies including PMI PMBOK, Agile, Scrum, Kanban, or SAFe.
  • Financial management, capital investment management, or portfolio performance reporting.
Education
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Management Information Systems, Mathematics, Statistics, Engineering, or another closely related field.
  • Equivalent combinations of education, technical training, professional certifications, and directly related experience may be considered.
Desired Certifications
  • Microsoft Certified: Power BI Data Analyst Associate
  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Azure Data Engineer Associate
  • Microsoft Azure Database Administrator Associate
  • Certified Business Intelligence Professional (CBIP)
  • Project Management Professional (PMP)
  • PMI Agile Certified Practitioner (PMI-ACP)
  • Certified Data Management Professional (CDMP)
Expected Outcomes

The successful candidate will:

  • Strengthen oversight of the IT investment management portfolio through timely, accurate, and actionable reporting.
  • Improve visibility into the health and performance of statewide IT investments through standardized dashboards and executive reporting.
  • Enhance the ability to identify portfolio risks, emerging trends, compliance issues, and opportunities for proactive intervention.
  • Reduce manual reporting effort through automation, standardized reporting processes, and improved data integration.
  • Support informed executive decision-making through high-quality analytics and business intelligence solutions.
  • Establish scalable reporting capabilities that support the ongoing evolution of Project Portfolio Management and Investment Management programs.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10515154
  • Position Id: 2026-7014
  • Posted 3 hours ago

Company Info

About Aroha Technologies

Michael Arrington, founder and co-editor of Tech Crunch once famously said that ‘The best startups generally come from somebody needing to scratch an itch’.

 Quite true to the thought, Aroha Technologies Inc was launched in 2008 in Florida. While we began our journey with a powerful Staffing Specialist & Software Development, Today our procedure has amplified into a more robust and simplified solution for Marketers looking for consistent and long term.

In our quest to do better, we resolve to simplify user acquisition, retention, engagement and large Business without blinking an eyelid! A semi-remote team spread across the globe, we are here to help you one step at a time.

Unmatchable growing excellence When AROHA was formed, we interviewed many potential clients and business colleagues and asked what a single important question seemed: “If you could design a firm to meet your needs, what would it look like?” The answers to that question have guided our thinking and planning on an ongoing basis, and form the core of our thinking about how we treat our clients and our employees, whom we call associates.

At a most basic level, we have stated our mission in a promise to our clients and our associates: “Unmatchable growing excellence.” This alignment governs superior service to our customers and supports our associates who perform that work, which cannot be matched by our competitors.

In short, we believe that care of our associates, disciplined financial management, and constant attention to the fundamentals of good delivery adds up to a successful, scalable business.

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