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
Automation Data Engineers enhance auto lending workflows by designing Python-based ETL pipelines and leveraging tools like Snowflake and Power Automate. This approach reduces manual tasks in loan origination, improving data accuracy and accelerating credit operations, which aligns well with industry demands in financial services.
Local Automation Data Engineers often navigate API integration complexities and data compliance issues while embedding AI models for tasks like log analysis or automated reporting. Addressing these requires strong collaboration with IT and an understanding of regional data security standards prevalent in Lowell's tech industry.
Professionals in this role can progress into senior automation architects or data analytics leadership, especially given Charlotte's growing financial tech ecosystem. Developing expertise in low-code platforms and AI integration further enhances promotion prospects within competitive markets like Lowell and Charlotte.
Certifications like Microsoft Power Platform Fundamentals, Snowflake SnowPro Core, and Python Automation credentials are highly regarded. These credentials validate skills in workflow automation and data engineering, aligning with A-line Staffing Solutions’ focus on hybrid automation projects within credit operations.
The company adopts a flexible hybrid schedule with three days onsite and two remote, leveraging cloud-based collaboration tools. This setup supports Automation Data Engineers in balancing hands-on teamwork in Lowell and Charlotte with remote development of automation pipelines and dashboarding tasks.
A-line emphasizes deep integration with loan origination systems and auto credit operations, requiring candidates to master domain-specific automation and compliance workflows. This contrasts with generic staffing roles, demanding a blend of technical scripting and financial services knowledge.
Lowell's demand for automation talent is growing moderately, influenced by the local finance and IT sectors expanding hybrid workforces. Candidates with Python automation and Snowflake experience stand out, but competition intensifies due to limited specialized roles and W2 contract preferences.
Automation Data Engineers in this region typically earn between $85,000 and $110,000 annually, depending on experience and technical skills. Those proficient in Python, Snowflake, and Power BI, especially in finance-related automation, tend to command salaries near the upper end.
They focus on automating data ingestion, system status updates, approval routing, and report generation using Python and Power Automate. These efforts reduce manual effort in credit operations and loan origination systems, driving measurable improvements in process speed and accuracy.
This role uniquely blends business analysis with hands-on data pipeline development, requiring skills in scripting, dashboard creation, and compliance collaboration. Unlike pure automation engineering, it demands translating complex financial workflows into scalable automated solutions.
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