Overview

At PrizePicks, we are changing the game in daily fantasy sports. We are a passionate team of innovators dedicated to creating a best-in-class experience for our members. Our engineering team builds and scales the platform that powers our explosive growth, from real-time contest engines to the services that handle millions of daily transactions. We are looking for a Senior Software Engineer to join our Social Experience team and help us continue to build the future of fantasy sports.

Job Summary

We are seeking a Software Engineer III with strong Ruby on Rails expertise to join our Marketing Technology (MarTech) team. In this role, you will own feature development within Rails-based backend services that power PrizePicks' member engagement, lifecycle marketing, and marketing enablement infrastructure - including data pipelines, customer data platform integrations, and marketing automation tooling. You will own the delivery of complex work end-to-end, begin guiding junior engineers, and contribute to architectural decisions that shape your team's systems. This is a role for someone who can bridge the gap between technical systems and marketing outcomes, deliver high-quality solutions, and start having influence beyond their own code.

What You'll Do

• Own feature development: Take ownership of features end-to-end - from technical design through delivery - breaking complex projects into well-scoped, deliverable pieces across our martech stack.
• Write high-quality code: Produce Ruby code that is idiomatic, performant, well-tested, and raises the bar for the codebase.
• Contribute to architecture: Participate in team-level architectural decisions around data modeling, CDP event schemas, service boundaries, API design, and background processing patterns.
• Build and maintain martech integrations: Design and own integrations with our Customer Data Platform (CDP) and marketing automation tools like Braze - including event ingestion, audience syncing, and canvas triggering via API.
• Improve quality proactively: Identify opportunities to improve data reliability, pipeline performance, and developer experience - and act on them.
• Guide junior engineers: Provide technical guidance to Software Engineers I and II through thorough code reviews, pairing sessions, and design feedback.
• Collaborate cross-functionally: Work closely with Marketing, Data, and Product teams to translate campaign and personalization requirements into reliable technical implementations. You should be comfortable sitting in a room with a marketer and speaking their language.
• Participate in on-call rotation: Take increasing ownership of incident response, contributing to root cause analysis and systemic improvements.
• Build team knowledge: Document technical decisions, data models, and integration patterns to strengthen your team's shared understanding.

What You Have

Experience

• 3–5 years of professional software engineering experience, with meaningful time building Ruby on Rails applications
• Hands-on experience working with a Customer Data Platform (Rudderstack, Segment, mParticle, or similar) — you understand how event tracking, identity resolution, and audience building work in practice
• Experience integrating with marketing automation platforms such as Braze, Iterable, or Klaviyo, including direct API usage (not just clicking buttons in a UI)
• History of delivering complex features within a software team to drive business outcomes
• Experience breaking down ambiguous requirements — including those coming from non-technical stakeholders like marketers — into concrete technical plans
• Exposure to large-scale, high-throughput distributed systems — you understand the challenges of building software that serves millions of users in real time

Technical Skills

• Advanced proficiency in Ruby on Rails — you understand the framework deeply and write clean, idiomatic, production-quality code
• Strong PostgreSQL skills — schema design, query optimization, migrations, and understanding of performance characteristics at scale
• Experience designing and building RESTful APIs within Rails
• Solid data engineering fundamentals: pipeline design, event schema management, and working with high-volume data flows are areas where you're comfortable
• Solid testing practices — RSpec or Minitest, unit, integration, and end-to-end testing strategies
• Familiarity with background job processing (Sidekiq or similar)
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Understanding of CI/CD pipelines and deployment workflows

Working Style

• Autonomous — you can take an ambiguous problem and drive it to a well-defined solution
• Comfortable providing and receiving direct technical feedback
• Strong written communicator, especially important in a fully remote environment
• Able to context-switch between deep technical work and collaborative conversations with marketing stakeholders

What Makes You Stand Out

• Experience using AI-assisted development tools for coding, planning, and scoping work
• Experience with agentic coding tools and AI-augmented development workflows
• Prior experience working in a remote engineering organization
• Deeper data engineering background — experience with tools like dbt, Spark, Airflow, or building analytical pipelines in a data warehouse environment
• Experience building or maintaining a user segmentation or audience management system
• Familiarity with identity resolution concepts (device graphs, deterministic vs. probabilistic matching)
• Experience supporting experimentation in marketing surfaces (holdout groups, A/B tests, send-time optimization)
• Working knowledge of compliance considerations around user data in marketing contexts (CAN-SPAM, TCPA, CCPA)

Where You’ll Live

• This a remote position anywhere in the US is fine. #LI-REMOTE

Working at PrizePicks:

The typical salary range for this position is $145,000 to $155,000 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: May 8, 2026

First Extension: June 7, 2026

Second Extension: July  7, 2026

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

We are looking for a technically rigorous, intellectually curious Senior Data Scientist to join our Acquisition Marketing Analytics team. In this role, you will own our most strategic measurement capabilities – including media mix modeling and always-on incrementality testing with paid partners – and use them to drive how we invest across acquisition channels.

You are the right fit if you have a strong foundation in causal inference and applied statistics, thrive at the intersection of data science and marketing strategy, and know how to turn complex model outputs into decisions that matter to the business.

What you’ll do:

• Own end-to-end media modeling (MMM), from data preparation and model development, to validation, calibration, and stakeholder delivery
• Design, launch, and maintain incrementality testing frameworks, in partnership with paid media partners, including geo-holdout and platform-native lift study designs
• Translate model outputs into actionable budget allocation and channel investment recommendations
• Partner with channel leads to develop and maintain a structured learning agenda across paid media
• Automate recurring measurement processes to improve accuracy, scalability, and speed-to-insight
• Contribute to raising the analytical bar across the team through code review, documentation, and knowledge sharing

What you have:

• 4+ years of experience in data science or quantitative analytics, with meaningful time spent supporting paid media or acquisition marketing
• Proven ownership of MMM end-to-end
• Hands-on experience designing and running incrementality tests, including experimental design, execution, and results interpretation
• Experience working in app-based or DTC acquisition environments strongly preferred; sports real money gaming industry background a plus
• Bachelor's degree in Business, Analytics, Statistics, Econometrics, Information Systems, Computer Science, or a related field.  Advanced degree preferred
• Exceptional communicator: able to explain modeling decisions and statistical tradeoffs to non-technical stakeholders
• Strong business judgment: you connect analytical outputs to commercial outcomes
• Collaborative: can act as a partner to Marketing, Finance, and Product teams, with experience working across functions to drive aligned decisions
• Comfortable with ambiguity, and able to scope and prioritize work independently
• Technical Skills
  • Python: proficiency in modeling, statistical analysis, and automation (pandas, numpy, statsmodels, PyMC or similar)
  • SQL: advanced, including complex transformations and pipeline logic
  • dbt: experience building and maintaining data models in a dbt environment
  • Open-source MMM frameworks (Robyn, Meridian): hands-on experience strongly preferred

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 $120,000 to $170,000. 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:  4/17/2026

THE POSITION
Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, independently executing on projects, and continuously learning in a fast-paced environment.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

Build & Maintain Data Pipelines

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Ensure data is reliable, accurate, and delivered in a timely manner.
• Lead projects to build or improve well-scoped data products.

Collaborate Across Teams

• Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.
• Translate business questions into engineering tasks and contribute to technical planning.
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
• Contribute to team wide best practices.

Data Quality & Operations

• Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
• Driving reliability and continuous improvement of data platforms and pipelines.
• Implement data quality checks and contribute to observability and testing practices.
• Document data sources, transformations, and architecture decisions to support long-term maintainability.

THE STATS
What we're looking for in our next teammate

• 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
• Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
• Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).

Preferred Qualifications

• Experience supporting BI, analytics, or data science teams.
• Familiarity with version control, CI/CD, and collaborative development workflows.
• Exposure to data governance, privacy, or compliance practices.
• Eagerness to learn new technologies and contribute to the growth of the team.
  
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.

You will report into the Manager, Data Analytics.

Work Location: This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
• 2+ years in building robust data models
• 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools

Bonus points:

• Experience using Python or R
• 2+ years experience in healthcare or insurance industry
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
• Prior experience in Member Relations or Customer Success environments.
• Building data models in dbt
• Building reports in Looker Studio Pro
• Git workflows

Position Overview:

Trella is looking for its next DevOps Engineer to help us manage and improve our AWS cloud infrastructure as we continue to scale. This person will support CI/CD pipeline maturity and contribute to the reliability, security, and observability of Trella’s production systems. This role works across containerized workloads on ECS and EKS/Kubernetes, Terraform-managed infrastructure, TeamCity build pipelines, and monitoring systems including New Relic, Grafana, and CloudWatch.

This DevOps Engineer will participate in release engineering, disaster recovery planning, information security operations (HIPAA/SOC2), and the ongoing effort to reduce managed server count through serverless and container-based architectures. Cross-functional collaboration with development, data engineering, and integration teams is a core part of the role.

We are looking for someone trustworthy, reliable, hard-working, friendly, and motivated to learn new ways of improving operations.

Location: This role is remote with a for candidates within commuting distance of Atlanta, GA or Philadelphia, PA. We will also consider applicants based in other U.S. locations.

Reports to: Director, IT Operations

As a DevOps Engineer at Trella, you will work on:

• CI/CD & Release Engineering: Design, maintain, and improve CI/CD pipelines to support reliable, repeatable build and deployment processes across multiple application stacks. Drive pipeline maturity by identifying and resolving bottlenecks, reducing build times, and improving deployment frequency and reliability.
• Cloud Infrastructure & IaC (AWS & Terraform): Manage and evolve Trella's AWS cloud infrastructure across services including EC2, S3, RDS, IAM, VPC, Lambda, and CloudWatch. Support multi-region architecture considerations and contribute to redundancy and availability improvements
• Containers & Orchestration: Operate and support containerized workloads running on Amazon ECS and EKS/Kubernetes. Build and maintain Docker images, manage container registries, and ensure images meet security and performance standards. Assist development and data engineering teams with containerizing applications and migrating workloads from server-based to container-based deployments.
• Monitoring, Observability & Incident Response: Maintain and improve observability tooling across New Relic, Grafana, and AWS CloudWatch, including dashboards, alerts, and log aggregation. Proactively identify gaps in observability coverage and implement instrumentation improvements in partnership with engineering teams. Participate in on-call rotations and incident response, helping to diagnose, remediate, and document production incidents
• Security & Compliance: Support Trella's HIPAA and SOC 2 compliance posture by maintaining secure configurations, access controls, audit logging, and evidence collection. Partner with the information security team on vulnerability management, patch cycles, and security tooling. Enforce security best practices across infrastructure provisioning, secrets management and network segmentation. Respond to security findings and remediate risks identified through audits, penetration testing, or automated scanning tools

This job might be a fit for you if you have:

Minimum Qualifications:

• 3+ years of experience in IT operations, DevOps, or infrastructure engineering
• Demonstrated programming or scripting experience (e.g., PowerShell, Bash, Python) without requiring the use of AI to comprehend or write the basics
• Working understanding of IP networking, DNS, VPN, and firewall management
• Familiarity with cloud provider offerings, specifically AWS core services (EC2, S3, RDS, IAM, VPC, CloudWatch)
• Good understanding of relational database administration (MariaDB, PostgreSQL, or similar)
• Experience with Linux system administration and command-line tooling
• Basic understanding of containerization concepts (Docker, container images, registries)
• Familiarity with version control systems (Git/Bitbucket)

Nice to have:

• AWS certifications (Solutions Architect, DevOps Engineer, or SysOps Administrator)
• Experience with Snowflake data warehouse administration or data pipeline support
• Familiarity with Apache Airflow (MWAA) for workflow orchestration
• Experience with React, .NET, Node.js, Angular, or PHP/Laravel application stacks (for deployment support context)
• Exposure to data pipeline and ETL automation workflows
• Familiarity with dbt (data build tool) for transformation workflows
• Experience conducting disaster recovery planning and DR drills
• Knowledge of multi-region AWS architecture and failover strategies
• Ability to work in a less-structured environment where initiative, dedication, and flexibility are highly valued