A-Line Staffing Solutions https://cdn.haleymarketing.com/templates/61804/logos/alinestaffing-hml.png http://www.alinestaffing.com http://www.alinestaffing.com true
Charlotte , NC US | Work from home flexibility TELECOMMUTE US
Automation Data EngineerCharlotte , NC US | Work from home flexibility TELECOMMUTE US
Posted: 11/10/2025 2025-11-10 2025-12-10 Category: Information Technology Job Number: DAPEL382
Job DescriptionTitle: Business Analyst IV – Automation Data Engineer
Location: Detroit, MI / Charlotte, NC / Lewisville, TX (3-days onsite, 2-days remote Hybrid schedule)
Note: This is a W2 contract role – C2C and 3rdparty candidates will NOT be considered
The Business Analyst IV will;
- Partner with wider business teams to identify automation opportunities in manual or high-effort areas (e.g., reporting, data validation, system monitoring)
- Learn and internalize how key systems operate — particularly Loan Origination Systems (LOS) and supporting platforms used across Auto Credit Operations
- Design and implement automated workflows usingPython for ETL, API calls, log analysis, and rule-based actions, Power Automate to automate business processes (e.g., data ingestion, status updates, approval routing), Snowflake to clean, model, and store data for automation pipelines, and Power BI to create dynamic dashboards that visualize system health, process performance, and operational metrics
- Take ownership of existing automation workflows during onboarding — including inherited scripts, dashboards, and processes
- Collaborate with IT teams for access, security reviews, and compliance requirements
- Document requirements, track progress, and manage deliverables using JIRA and Confluence, aligning with partner team practices (including sprint planning and backlog grooming)
- Troubleshoot issues in automated systems — diagnosing root causes in data flow, logic, or integration points
The ideal candidate for this role is a proactive problem-solver with a strong technical foundation in Python and data automation. The ideal candidates will thrive in collaborative environments, translating business needs into efficient, automated workflows. They will also be detail-oriented, comfortable working in Agile settings, and capable of owning processes end-to-end, demonstrating adaptability, clear communication, and a passion for improving operational efficiency through technology.
Position Qualifications:
- 2-5 years of experience as a Business Analyst, with proven delivery of automation or process improvement initiatives
- Proven proficiency in at least one scripting/automation language, including Python for building data pipelines and automating workflows
- Experience working with data in Snowflake (SQL + Python) to transform raw inputs into usable datasets, including Snowflake
- Hands-on experience creating reports and dashboards using Power BI, including handling complex or unstructured source data
- Proven experience working directly with business teams to understand needs, define automation opportunities, and deliver solutions — including ongoing maintenance, refinement, and support
- Ability to build trust through clear communication, active listening, and consistent delivery
- Demonstrated success in translating ambiguous or evolving business requirements into reliable, automated workflows that are adopted and used over time
- Comfortability operating in Agile environments, using JIRA for task management and Confluence for documentation
- Excellent written and oral presentation skills, with the ability to partner with and influence stakeholders
- Proficiency in Microsoft Office applications (Excel, Access, PowerPoint)
- Experience in financial services or auto lending, particularly within credit operations or loan origination workflows preferred
- Exposure to compliance-driven environments preferred
- Experience automating business processes using Power Automate or similar tools (e.g., UIPath, Automation Anywhere) preferred
- Exposure to integrating AI models via API — especially for tasks like log analysis or report drafting – preferred
- Understandingof prompt engineering basics for guiding consistent output from generative tools (e.g., internal LLMs) preferred
- Experience with low-code/no-code automation platforms in a business context preferred
- Familiarity with internal systems used in auto lending — especially Loan Origination Systems (LOS) and related platforms – preferred
- Understandingof business dynamics in credit operations, such as decisioning, underwriting workflows, compliance reporting, system uptime tracking, etc. preferred
- A minimum of a Bachelor’s Degree in a relevant technical field; relevant industry data analytic or automation-related Certifications preferred
Note: This is a W2 contract role – C2C and 3rdparty candidates will NOT be considered
#ALINE11
Meet Your RecruiterDevon ApelAre you sure you want to apply for this job?Please take a moment to verify your personal information and resume are up-to-date before you apply.
Freqently Asked Questions
Mastering Python is essential for building automated data pipelines and workflows, especially in Charlotte’s growing tech environment. Additionally, proficiency in SQL for Snowflake data manipulation and familiarity with Power BI for dashboard creation significantly boost your effectiveness in automation roles.
Unlike traditional data roles, Automation Data Engineers focus heavily on creating and maintaining automated workflows that replace manual processes. Their day often involves scripting for ETL tasks, integrating APIs, and troubleshooting automation logic rather than purely analyzing datasets.
Progression typically involves deepening expertise in automation frameworks, mastering low-code/no-code platforms, and expanding knowledge in AI integrations. Leadership in cross-functional projects and acquiring certifications relevant to data automation can position you for senior engineering or solution architect roles.
Applicants will navigate a W2 contract engagement emphasizing direct collaboration with business teams. The process includes technical assessments focused on Python scripting and data automation, alongside interviews evaluating communication skills and problem-solving within hybrid work settings.
Given the hybrid work model and focus on financial services automation, challenges include balancing remote collaboration with onsite requirements and mastering compliance-heavy workflows in auto lending, which demand meticulous attention to data security and process accuracy.
Charlotte’s tech sector is rapidly expanding, increasing demand for automation talent but also intensifying competition. Job seekers benefit from showcasing hands-on experience with Snowflake, Power BI, and Python automation to stand out in this dynamic local market.
Automation Data Engineers in Charlotte typically earn between $90,000 and $120,000 annually on a W2 contract basis. Salaries vary depending on expertise in Python, data automation tools, and familiarity with financial services automation processes.
Understanding loan origination systems and credit operations is highly valued in Charlotte’s financial services environment. This knowledge streamlines automation efforts and ensures compliance, giving engineers a competitive edge when working with auto credit business teams.
A-line Staffing emphasizes hybrid work flexibility combined with a contract structure focused exclusively on W2 employment, rejecting C2C or third-party candidates. Their roles integrate deep collaboration with business analysts and IT teams, fostering a hands-on approach to process automation in auto finance.
Python’s versatility allows engineers to automate diverse workflows such as ETL, API interactions, and log analysis efficiently. Its integration with Snowflake and Power BI for data manipulation and visualization makes it indispensable for the automation projects driven at A-line Staffing Solutions.
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