Remote Staff Accountant / Tax Professional — U.S. Firm (EST Hours)
An established U.S. public accounting firm is looking to add a remote Staff Accountant / Tax Professional to its team.
This role supports a U.S.-based client and requires working hours aligned with U.S. Eastern Time.
Responsibilities
Prepare financial statements and supporting schedules
Record and review adjusting journal entries
Support preparation of U.S. individual and business tax returns
Perform account reconciliations and analyze financial information
Support month-end and year-end close processes
Collaborate closely with the U.S.-based team for review and sign-off
Qualifications
3+ years of accounting experience, ideally supporting U.S.-based clients
Bachelor's degree in Accounting, Finance, or related field
Working knowledge of U.S. GAAP and general tax preparation concepts
Strong written and spoken English
Comfortable working independently in a fully remote environment
Able to work U.S. Eastern Time business hours
What's Offered
Competitive compensation
Fully remote position
Opportunity to grow with a firm investing in long-term team structure
Argentina - Remote
Cordoba, Argentina
Full time
R*****
Proofpoint is a general leader in human- and agent-centric cybersecurity.
We protect how people, data, and AI agents connect across email, cloud, and collaboration tools.
Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows.
Our mission is simple: safeguard the digital world and empower people to work securely and confidently.
Join us in our pursuit to defend data and protect people.
At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate.
Responsive to feedback, challenges and opportunities.
Accountable for results and best in class outcomes.
Visionary in future focused problem-solving.
Exceptional in execution and impact.
Proofpoint has been honored with six Best Places to Work Awards in **** by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity.
Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations.
We're driven by a mission to stay ahead of bad actors and safeguard the digital world.
Join us in our pursuit to defend data and protect people.
Our BRAVE Values: At Proofpoint, we are BRAVE in everything we do, and our values aren't just words - they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.




We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
What you'll do
Lead efforts to design, implement software and support systems using industry best-practices
Serve as the technical leader and mentor—conduct design reviews, guide junior engineers, and influence the team's technical roadmap.
Collaborate with Engineers and business stakeholders to identify and implement software solutions to business problems
Establish and enforce data quality standards—implement validation frameworks, anomaly detection, and SLA-driven alerting to ensure data reliability.
Troubleshoot and resolve production incidents, perform root-cause analysis, and drive preventive improvements.
Define and drive engineering best practices: code reviews, CI/CD for data pipelines, and DataOps principles
What we're looking for
Bachelor's degree in computer science or similar technical field of study
8+ years of professional software or data engineering experience, with at least 4 years focused on cloud data platforms.
Strong Python programming skills.
Proficiency in coding in any other language, preferably Java and Golang
Strong understanding of highly distributed architecture
Experience working with secured APIs (REST, GraphQL, etc)
Cloud computing experience (AWS, GCP, Azure, or similar)
Experience in Docker and Kubernetes, preferred
Experience working with observability and monitoring tools (Grafana, Kibana, etc)
Strong experience working with agile development teams
Understanding of best practices in performance tuning
Excellent communication, planning and organizational skills
What you'll do
Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
Build and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK)—covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.
Develop and maintain the DataOps platform—self‐service tooling, pipeline templates,



and shared libraries that allow data engineers to spin up production‐grade pipelines quickly.
Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.
Build and maintain AWS Glue ETL jobs (PySpark) for large‐scale data ingestion and transformation across the data lake on S3.
Drive security best practices across the data platform: secrets management (AWS Secrets Manager / Parameter Store), least‐privilege IAM, network segmentation, and compliance controls.
Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.
Lead incident response for data platform outages: on‐call participation, root‐cause analysis, and post‐mortem‐driven improvements.
Mentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.
What you bring to the team
Required
5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands‐on data engineering work.
Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
Hands‐on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).
Proficiency with Infrastructure-as-Code tools—Terraform and/or AWS CDK—for managing production cloud environments.
Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.
Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).
Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.
Strong communication skills—the ability to translate operational concerns into clear engineering trade‐offs for both technical and non‐technical audiences.
Nice to Have
Familiarity with real‐time / streaming data processing using Apache Kafka, Amazon Kinesis, or Glue Streaming ETL.
Knowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.
Familiarity with open table formats (Apache Iceberg, Delta Lake) and lakehouse patterns.
Background in cybersecurity, threat intelligence, or security‐data analytics environments.
AWS Certified DevOps Engineer – Professional, AWS Certified Data Engineer – Associate, or AWS Certified Solutions Architect certification.
Experience with cost optimization tooling (Infracost, AWS Cost Explorer dashboards, Athena query cost governance).
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