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Remote Argo Data Jobs (NOW HIRING)

Data Platform Engineer

Atlanta, GA · On-site +1

$100K - $150K/yr

Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Orchestrate deployments using Helm charts and GitOps tools (e.g., Argo CD or Flux) to ensure ... If the position is remote or hybrid, you may periodically work from a Pantheon Data office location ...

Senior Data Engineer

New York, NY · On-site +1

$167K - $200K/yr

This role is open to remote candidates across the U.S. For candidates based in New York City, the ... Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte ...

Senior DevOps Engineer

Chicago, IL · Remote

$133.90K - $172K/yr

Argo CD) with self-service * Cut deep into systems in order to drive directly to a resolution and ... local and remote environments * Experience with MLOps tooling and Data Science workflows ...

Senior Data Engineer

$120K - $160K/yr

Experience with job or pipeline orchestration, using tools like Prefect, Databricks, Airflow, Argo ... A flexible, remote-first work environment that empowers you to perform at your best -- wherever you ...

DevOps Engineer (Mid-to-Senior Level)

New York, NY · Remote

$142.20K - $182.70K/yr

... data warehouse, Looker BI), event streaming (Kafka), and orchestration tools (Kubernetes with Argo ... You can work effectively on a remote, cross-functional team, partnering with software engineers ...

Senior Software Engineer - Core

Detroit, MI · Remote

$121.30K - $159.90K/yr

... data over spatial and temporal windows to generate real-time insights and incident records ... This is a fully remote, hands-on individual contributor role with meaningful ownership across core ...

DevOps Engineer (Mid-to-Senior Level)

Manhattan, NY · On-site +1

$142.70K - $183.30K/yr

... data warehouse, Looker BI), event streaming (Kafka), and orchestration tools (Kubernetes with Argo ... You can work effectively on a remote, cross-functional team, partnering with software engineers ...

DevOps Systems Engineer

Greenbelt, MD · On-site +1

$53.50 - $73.25/hr

... remote shell access, log review, debugging, and RBAC policy administration. * Support deployment ... Support enterprise data services and platform components including RabbitMQ, Redis, PostgreSQL ...

DevOps Systems Engineer

Greenbelt, MD · On-site +1

$53.50 - $73.25/hr

... exposure, remote shell access, log review, debugging, and RBAC policy administration. Support ... Support enterprise data services and platform components including RabbitMQ, Redis, PostgreSQL ...

$140K - $210K/yr

Our data stores include MongoDB, PostgreSQL, Elasticsearch, and Redis. The underlying ... Come help us with projects like Fully automating our database's lifecycles with Argo Workflow ...

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Remote Argo Data information

What are the key skills and qualifications needed to thrive as a Remote Argo Data Analyst, and why are they important?

To thrive as a Remote Argo Data Analyst, you need a solid background in oceanography, data analysis, and statistical methods, often supported by a relevant science or engineering degree. Experience with data processing tools such as MATLAB, Python, or R, as well as familiarity with Argo data systems and remote sensing platforms, is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with research teams. These competencies ensure accurate data analysis, meaningful scientific insights, and productive teamwork in advancing oceanographic research.

How do Remote Argo Data professionals typically collaborate with cross-functional teams, given the distributed nature of their work?

Remote Argo Data professionals often work closely with teams such as DevOps, software engineering, and cloud infrastructure, using collaboration tools like Slack, Jira, and video conferencing to stay connected. They participate in regular standups, sprint planning, and code reviews to ensure alignment on deploying and maintaining Argo workflows. Clear documentation and proactive communication are essential for troubleshooting and implementing data pipelines efficiently, making teamwork a key aspect of the remote environment.

What are Remote Argo Data jobs?

Remote Argo Data jobs typically involve working with the Argo program, which collects oceanographic data through a global network of autonomous floats. Professionals in these roles may analyze, process, or manage data collected from these floats, often working remotely via computer networks. Tasks can include data quality control, visualization, database management, or research using Argo datasets. These positions are valuable in oceanography, climate science, and environmental monitoring, allowing experts to contribute to global ocean observations from anywhere in the world.

What is the difference between Remote Argo Data vs Remote Data Analyst?

AspectRemote Argo DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; familiarity with Argo data systemsBachelor's in Statistics, Data Analysis, or related; proficiency in data tools and SQL
Work EnvironmentRemote, often in research or scientific organizations handling Argo float dataRemote, in various industries like finance, healthcare, marketing
Industry UsageScientific research, oceanography, climate studiesBusiness, finance, healthcare, marketing
Common Search/ComparisonYesYes

Remote Argo Data specialists focus on processing and analyzing oceanographic float data, often requiring scientific background. Remote Data Analysts work across industries analyzing diverse datasets. While both roles involve data handling remotely, their focus areas and required skills differ significantly.

More about Remote Argo Data jobs
What cities are hiring for Remote Argo Data jobs? Cities with the most Remote Argo Data job openings:
What are the most commonly searched types of Argo Data jobs? The most popular types of Argo Data jobs are:
What states have the most Remote Argo Data jobs? States with the most job openings for Remote Argo Data jobs include:
Infographic showing various Remote Argo Data job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 1% Temporary, and 2% Contract. Highlights an 100% Remote job distribution.
Data Platform Engineer

Data Platform Engineer

PrizePicks

Atlanta, GA • On-site, Remote

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.
What you'll do:
  • Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and enable data users by building data catalog and data lineage capabilities. You will be contributing to design and enforce robust data security architectures and controls.
  • Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
  • Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%
What you have:
  • 3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments.
  • Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms.
  • Proficient with Containerization, Docker, Kubernetes and cluster-level management.
  • Deep experience building a platform for managing the full Data lifecycle, including setting up a data exploration environment.
  • Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents.
  • Excellent communication skills, stakeholder management and outstanding problem-solving skills.
  • Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and Databases. Experience with building REST APIs, package management and have built libraries.
  • Should have been a key contributor to projects through the entire development lifecycle from concept to release.
What makes you stand out:
  • Experience implementing infrastructure while enforcing best practices for deployment of a large scale data platform.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience building and scaling data platforms that successfully bridge batch historical data with real-time event streams.
  • Enabling self-service for Data teams for pipeline development and deployment.
  • Enabling AI agents for repetitive tasks and AI coding for faster and iterative software development.
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $100,000 to $150,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 4/23/2026
1st Extension: 5/23/2026
Benefits you'll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.