Data Engineer

Creative Financial Staffing
Brighton, MI, United States
2 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$110,000.0 - $120,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Business Systems Cyber Security Databases Customer Data Management Data Architecture Data Infrastructure Data Integration Extract Transform Load (ETL) Data Transformation Data Security Data Structures
+10 more
Systems Development Life Cycle Power BI Salesforce.Com Data Streaming Data Processing Build Management Data Management Data Pipelines Legacy Systems Custom Reports

Job description

Our client is seeking a Data Engineer to lead a high-visibility data modernization initiative focused on rebuilding ETL processes, standardizing reporting, and documenting critical business systems. This role offers significant ownership, autonomy, and the opportunity to impact enterprise-wide decision-making through improved data architecture and reporting.

The organization is seeking a self-driven professional who enjoys solving complex data challenges with minimal oversight. Core Responsibilities

As the Data Engineer, you will be responsible for driving two business-critical initiatives and ensuring a successful transition away from legacy systems. Key Functional Tasks & Estimated Time Allocation

  1. Current-State ETL Analysis & Documentation *
  • Assess and document existing ETL processes and data flows *

  • Identify process conflicts, redundancies, and dependencies *

  • Work with subject matter experts to understand legacy architecture *

  • Create detailed technical documentation to support future-state planning *

  1. ETL Architecture, Design & Rebuild *
  • Design and architect a new ETL framework to replace legacy processes *

  • Establish scalable, secure, and maintainable data pipelines *

  • Develop implementation plans and technical specifications *

  • Build and deploy the new ETL environment *

  1. Power BI Reporting Standardization *
  • Evaluate existing reports and dashboards *

  • Establish a standardized reporting framework and base report library *

  • Develop and refine DAX calculations *

  • Implement row-level security and scalable reporting access *

  1. Integration & Transition Projects *
  • Support legacy platform transition efforts *

  • Participate in API and data integration initiatives *

  • Assist with knowledge transfer and future-state readiness planning *

Requirements

The successful Data Engineer will possess: *

  • Advanced ETL architecture, design, and documentation experience *

  • Strong experience rebuilding or modernizing data environments *

  • Advanced Power BI expertise *

  • Deep knowledge of DAX calculations and report design *

  • Experience implementing row-level security within Power BI *

  • Strong technical documentation and process-mapping skills *

  • Ability to work independently and navigate ambiguity *

  • Experience evaluating existing systems and recommending improvements *

Preferred Qualifications *

  • API integration experience *

  • Experience working with legacy system migrations *

  • Knowledge of Salesforce data structures *

  • Exposure to financial services, operations, leasing, or data-intensive environments *

  • Familiarity with enterprise reporting governance *, * Strong curiosity and investigative problem-solving skills *

  • Ability to prioritize multiple large-scale initiatives *

  • Independent decision-making and execution capabilities *

  • Effective communication with technical and non-technical stakeholders, Application Programming Interface (API), Business Operations, Business Solutions, Communication Skills, Continuous Improvement, Data Management, Data Processing, Data Structures, Database Extract Transform and Load (ETL), Documentation, Establish Priorities, Financial Operations, Financial Services, Information/Data Security (InfoSec), Knowledge Transfer, Power BI, Problem Solving Skills, Process Development, Process Flow, Reporting Dashboards, Salesforce.com, Scalable System Development, System Migration, Team Player, Technical Support, Technical Writing

About the company

Founded by CPA firms in 1994, Creative Financial Staffing has spent over 30 years helping job seekers and employers succeed. In fall 2025, we rebranded as CFS-a name that reflects our full range of expertise while staying true to the trusted company you know.

CFS is the industry’s leading employee-owned staffing firm, connecting top talent in accounting, finance, technology, and human resources. We provide skilled professionals on both a temporary and permanent basis across diverse industries, leveraging our extensive network to match the right people with the right opportunities.

Our dedication to excellence extends to our award-winning culture, recognized repeatedly for growth, recruiting, workplace environment, and employee support. Honors include Forbes’ “America’s Best Recruiting and Temporary Staffing Firms,” Staffing Industry Analysts’ top U.S. staffing rankings, FlexJobs’ Top 100 Companies for Remote and Hybrid Work, Top Workplaces USA, Newsweek’s Best Practices awards, and more.

Company Size: 500 to 999 employees

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:04 min

Embedding data security and applied ethics into developer education

Daniel Tao +3 · World Congress 2024

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

41 sec

Massive client data loss and bio-digital storage

Chris Heilmann +1 · LIVE

Videos

See all

Related articles

See all