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
Monroe, NC is seeing a growing need for Automation Data Engineers due to expanding financial and credit operations sectors. This role typically faces moderate competition locally, with demand driven by companies seeking to enhance automation in data workflows, distinguishing it from broader tech jobs that may focus more on software development or infrastructure.
Commuting to hybrid work sites near Monroe, NC often involves navigating suburban traffic during peak hours. Given the hybrid schedule with some onsite days, candidates should plan for flexible travel, balancing remote work advantages with occasional onsite presence, which can impact daily commute times and transportation choices.
Success hinges on mastering automation tools like Python for ETL processes, proficiency in Snowflake for data transformation, and creating insightful dashboards with Power BI. Strong collaboration and agile project management experience are critical, enabling translation of complex business needs into efficient, automated data workflows.
Automation Data Engineers can advance into senior automation architect roles or data engineering leadership positions. Gaining expertise in low-code platforms and AI model integration often leads to strategic roles driving enterprise-wide automation initiatives, expanding influence beyond technical execution to business process innovation.
Daily tasks include analyzing manual workflows for automation potential, coding Python scripts for data pipeline automation, maintaining dashboards that track system health, and collaborating with IT teams to ensure secure and compliant automation. Agile tools like Jira and Confluence facilitate planning and documentation throughout the day.
A-line Staffing Solutions LLC emphasizes proactive problem-solving and clear communication within their Automation Data Engineer roles. Candidates are expected to adapt quickly, manage automation projects end-to-end, and thrive in a hybrid model that values both independent and collaborative work, reflecting the company's focus on operational efficiency.
This role is pivotal for streamlining business processes through automation, directly supporting the company's goals to enhance operational metrics and reporting accuracy. By collaborating closely with credit operations and IT teams, the Automation Data Engineer helps drive scalable improvements aligned with organizational compliance and efficiency targets.
In Monroe, NC, Automation Data Engineers typically earn between $85,000 and $110,000 annually. Salary variations depend on experience with tools like Python and Snowflake, familiarity with financial services automation, and the ability to handle hybrid work demands, making this a competitive compensation bracket locally.
Python serves as the backbone for scripting ETL processes, API integrations, and automating complex data workflows. Its versatility enables efficient handling of large datasets and rapid development of rule-based automation, which is essential for driving accuracy and scalability in data engineering tasks within financial and auto lending domains.
Automation Data Engineering centers on data pipelines, ETL automation, and business process improvements using tools like Snowflake and Power BI. In contrast, Network Automation Engineers focus on infrastructure and connectivity automation, while Automation Test Engineers specialize in software testing automation, highlighting distinct skill sets and objectives across these roles.
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