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Remote Automation Finance Jobs in Delaware (NOW HIRING)

Relativity

Revenue Manager

Wilmington, DE · On-site +1

$90K - $136K/yr

Posting Type Remote/Hybrid Job Overview The Revenue Accounting Manager plays a critical role in ... This role owns key aspects of the monthly and quarterly close, partners closely with Finance ...

Bloxley US inc.

QA Engineer at bloxley

Wilmington, DE · Remote

... financial lives, this role is for you. Details Location: Remote Type: Full-Time Salary: $400-$500 ... automation testing concepts and tools Understanding of accessibility testing and usability ...

CSC Corptax

Director of Tax Accounting

Dover, DE · Remote

Working knowledge of data analytics and tax automation/RPA tools. * Strong accounting and ... Remote #CSCCareers CSC is a global business, legal, and financial services company based in ...

Corporation Service Company

Senior Systems Engineer

Dover, DE · On-site +1

$104.40K - $142.90K/yr

... Remote If you like finding and implementing innovative solutions, you'll fit in perfectly at CSC ... Developing and maintaining network automation scripts using Ansible and Python to streamline ...

SHI GmbH

Security Consultant - Engineering

Dover, DE · On-site +1

Health, wellness, and financial benefits to offer peace of mind to you and your family. * World ... In this remote role, you will serve as a Security Consultant - Engineering in Security Incident and ...

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Remote Automation Finance information

What are the key skills and qualifications needed to thrive as a Remote Automation Finance professional, and why are they important?

To thrive as a Remote Automation Finance professional, you need strong analytical skills, a solid understanding of finance and accounting principles, and experience with process automation, often supported by a degree in finance or a related field. Familiarity with automation tools such as UiPath, Blue Prism, or Alteryx, as well as financial systems like SAP or Oracle, is typically required, and certifications in RPA (Robotic Process Automation) can be advantageous. Attention to detail, problem-solving abilities, and effective remote communication are critical soft skills for collaborating with distributed teams and stakeholders. These skills and qualifications enable professionals to optimize financial processes, ensure accuracy, and drive efficiency in a remote work environment.

How does a Remote Automation Finance professional typically collaborate with cross-functional teams, and what tools are commonly used for effective communication?

Remote Automation Finance professionals often work closely with IT, operations, and accounting teams to streamline financial processes and implement automated solutions. Effective collaboration is achieved through regular virtual meetings, shared project management platforms, and real-time communication tools. Commonly used platforms include Slack or Microsoft Teams for instant messaging, Zoom or Google Meet for video conferencing, and project trackers like Asana or Jira to manage workflow and deadlines. This collaborative environment ensures that automation projects align with business goals and are delivered efficiently despite the remote setup.

What is a Remote Automation Finance job?

A Remote Automation Finance job involves using technology and software tools to automate financial processes such as accounting, reporting, invoicing, and payroll, all while working from a remote location. Professionals in this role streamline repetitive tasks, reduce errors, and improve efficiency for finance teams or organizations. They often work with automation platforms, scripting, and financial software to create efficient workflows. This position requires knowledge of finance, automation tools, and strong problem-solving skills.

What is the difference between Remote Automation Finance vs Remote Financial Analyst?

AspectRemote Automation FinanceRemote Financial Analyst
Required CredentialsFinance degree, certifications like CFA or CPA, automation skillsFinance degree, certifications like CFA or CPA
Work EnvironmentFinance teams, automation tools, data analysis platformsFinancial departments, data analysis, reporting tools
Employer & Industry UsageFinance firms, tech companies, automation-focused rolesBanks, investment firms, corporate finance departments

Remote Automation Finance roles focus on integrating automation technologies into financial processes, requiring automation skills alongside finance expertise. Remote Financial Analysts analyze financial data and prepare reports, primarily using data analysis tools. While both roles require finance credentials, Remote Automation Finance emphasizes automation and technology skills, whereas Remote Financial Analysts focus on data interpretation and reporting.

What are popular job titles related to Remote Automation Finance jobs in Delaware? For Remote Automation Finance jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Automation Finance jobs in Delaware look for? The top searched job categories for Remote Automation Finance jobs in Delaware are:
What cities in Delaware are hiring for Remote Automation Finance jobs? Cities in Delaware with the most Remote Automation Finance job openings:
Remote Automation Finance jobs near you
Data Solution Architect

Data Solution Architect

Syntricate Technologies

Wilmington, DE • On-site, Remote

$65 - $70/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Solution Architect

Buffalo, NY or Wilmington, DE (3 days onsite/2 days remote), OR Remote w/ travel 6+-month contract to hire Web Cam Interview $65-$70/Hr on W2 (Will be expected to travel to Buffalo, NY and/or Wilmington, DE every 4-6 weeks with Monday through Thursday in office) Travel expense reimbursed by client Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred) (required).

Job Title: Data Solution Architect Location: Buffalo, New York (Preferred) / Remote (Will be expected to travel to Buffalo, NY every 4-6 weeks with Monday through Thursday in office.)

Job Summary

The Data Solution Architect is responsible for designing and delivering enterprise-grade data platforms and solutions that enable advanced analytics and business intelligence. This role requires deep expertise in data engineering, cloud-native architecture, and modern data technologies. The architect will work closely with engineering, product, and compliance teams to build secure, scalable, and regulatory-compliant data solutions. All solutions must align with the principles, standards, and reference architectures established by the Enterprise Architecture function, ensuring consistency, interoperability, and strategic fit across the organization.

Key Responsibilities:
  • Solution Architecture: Architect and deliver cloud-based data platforms (e.g., Azure Data Lake) and scalable data pipelines using technologies such as Databricks, Kafka, etc.
  • ETL/ELT Frameworks: Develop and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams.
  • Data Platform Deployment: Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting needs inclusive of Power BI and Snowflake.
  • Data Governance: Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements.
  • Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
  • Technology Evaluation: Lead technical evaluations and proof-of-concept projects for emerging data technologies (e.g., real-time analytics, data mesh, AI/ML platforms).
  • Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
  • Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.
Expected Skills:
  • Data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
  • API design (REST) and integration tools (ETL/ELT).
  • Stakeholder communication (technical and non-technical audiences).
  • Leadership in Agile/DevOps environments.
  • Analytical problem-solving for complex data systems.
  • Project management: proficiency in tools like Jira; familiarity with SDLC and CI/CD pipelines.
Expected Knowledge:
  • Foundational Understanding: Data modeling, data pipeline orchestration, data quality management, metadata management, and data lifecycle.
  • Data Platforms: Data lakes, warehouses, and lake house architectures; distributed systems and cloud data services.
  • Data Engineering: ETL/ELT processes, real-time and batch data processing, data integration, and automation.
  • Financial Systems: Payment networks, liquidity management, and settlement processes (as relevant to data flows).
  • Regulatory Landscape: Global data privacy regulations (GDPR, CCPA) and compliance tools.
  • Security: Data encryption, access controls, and penetration testing methodologies.
Qualifications:
  • Education: Bachelor's/Master's in Computer Science, Engineering, or related field.
  • Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar.
  • Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms.
  • Proficient in system design, integration, and implementation across multiple technology domains.
  • Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred).
  • Hands-on experience with cloud platforms (Azure/AWS/GCP), containerization (Kubernetes), and DevOps practices.
  • Excellent communication, collaboration, and critical thinking skills.
  • Understanding of financial regulations, compliance, and security standards.
Expected Deliverables:
  • End-to-end solution architectures for data platforms, including detailed diagrams, technology stack specifications, and integration patterns.
  • ETL/ELT pipeline designs and implementation plans for onboarding new data sources and modernizing legacy systems.
  • Data governance frameworks, including policies for data quality, lineage, and access control, aligned with Enterprise Architecture standards.
  • Technical documentation packages: architecture blueprints, operational runbooks, and security protocols.
  • Prototypes and proof-of-concept implementations demonstrating new data engineering capabilities (e.g., streaming analytics, automated data quality checks).
  • Performance benchmarks and scalability assessments for deployed solutions.
  • Risk mitigation plans, including security audit findings and disaster recovery strategies.

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