At Realtor.com, we have the most comprehensive and accurate coverage of real estate listings and the most engaged users across all the online real estate portals. Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.

The People team is building a HR Performance & Goal Management (PM/GM) data product. This tool will support ~1,500 employees in managing Performance Measures (PMs) and General Measures (GMs) across mid-year and annual review cycles, aligned to our Real Success Framework (RSF).

We are seeking a Analytics Engineer to own the full data layer of this initiative — from schema design and RBAC architecture to pipeline management and compliance. This is a primary, ongoing responsibility during the build phase (6–9 months at ~75–100% allocation) and at steady-state (∼25–50% allocation post-launch), working in close partnership with the App Developer and People & Talent stakeholders.

Top Reasons to Apply:

1. High Visibility & Executive Impact
   You aren’t just building a dashboard; you are building the system of record for how 1,500+ employees (including our Executive Leadership Team) define success. The "Performance Hub" is a high-stakes, highly visible product where your architecture directly influences performance reviews, calibration, and compensation across the entire organization.
2. Architect the Future (From POC to Metric Store)
   We’ve proven the concept; now we need you to build the legacy. You have a long runway and the creative freedom to evolve a Proof-of-Concept into a robust, automated Metric Store. Beyond simple performance measures, you’ll have the autonomy to integrate proxy metrics, automated forecasting, and attrition models—effectively defining the "North Star" for our workforce analytics.
3. Absolute Ownership of a Modern Stack
   If you thrive in an environment of high ownership and low bureaucracy, this is your playground. You will own the full data layer—from Snowflake RBAC and schema design to dbt modeling and Airflow orchestration. You’ll be partnering with App Developers and People stakeholders to deliver a production-grade data product using the best tools in the industry.

What You'll Do

• Design and implement RBAC architecture in Snowflake supporting five role tiers (Employee, People Leader, HRBP, Admin, ELT), including row-level security policies scoped to org hierarchy and review cycle.
• Build and maintain data models for PM/GM tables, calibration history, audit logs, and the 4-point metric schema that underpins goal tracking and rating workflows.
• Manage the nightly UKG (UltiPro) data feed, handling org changes, leaves of absence (LOAs), and terminations to ensure the application reflects current workforce state.
• Integrate revenue goal data from existing Snowflake sources, enabling real-time goal sync for sales and quota-based populations.
• Build and maintain a comprehensive audit trail for all goal and rating changes, supporting manager workflows, HRBP review, and executive reporting.
• Implement GDPR/CCPA data anonymization logic, including right-to-be-forgotten workflows and compliant data handling for sensitive performance records.
• Enforce Snowflake access policy governance, ensuring that data exposure is strictly scoped to authorized roles and that access controls are auditable.
• Optimize Snowflake queries and warehouse configurations to support responsive HRBP and ELT dashboards, particularly during peak review seasons.
• Maintain a sandbox schema for safe development and testing of new features without impacting production data.
• Collaborate closely with the App Developer to expose clean, well-documented data interfaces that power goal submission, approval, calibration, and reporting workflows.
• Partner with Legal and IT to confirm Snowflake qualifies as the system of record for performance data and that all data governance requirements are met.

What You'll Bring

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field, plus 2+ years of relevant experience; or a Master’s degree with 6+ months of relevant experience in a corresponding domain.
• Strong SQL skills including query optimization, indexing, and building production tables and views in Snowflake; experience with Snowflake-specific features such as dynamic data masking, row access policies, and time travel.
• Hands-on experience designing and implementing RBAC in Snowflake, including role hierarchies, row-level security, and access policy governance.
• Proven ability to build and maintain data pipelines and ETL/ELT jobs; experience with tools such as dbt, Airflow, Fivetran, or custom Python-based pipelines.
• Experience integrating with HRIS platforms (e.g., UKG/UltiPro, Workday, or similar) via API or SFTP feeds to sync organizational data.
• Familiarity with data governance and compliance requirements, including GDPR/CCPA data anonymization, audit logging, and right-to-be-forgotten patterns.
• Strong data modeling skills; ability to design normalized schemas appropriate for goal-tracking, rating workflows, and calibration history.
• Knowledge of software engineering best practices for analytics: version control (Git), code review, testing, and documentation.
• Interpersonal and communication skills; ability to collaborate effectively with non-technical HR and People Operations stakeholders to translate business requirements into data assets.

Nice To Have:

• Experience supporting HR, performance management, or workforce analytics data products at a similar scale (~1,000–2,000 employees).
• Familiarity with Streamlit in Snowflake or similar lightweight app frameworks, enabling effective collaboration with the App Developer on data interface design.
• Experience with BI tools such as Tableau, Looker, or equivalent that may be used for supplemental HRBP or ELT reporting.
• Exposure to Snowflake cost governance and compute management, including virtual warehouse sizing and credit optimization for seasonal workloads.
• Prior work in a fast-moving tech or media company with iterative, agile delivery and cross-functional stakeholder engagement.

How we Reward you:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a remote role

JR: 2026-7683

#LI-Remote

About The Team: 

The Data Platform team powers LINQ’s internal intelligence and business operations; connecting the dots between go-to-market systems, financial processes, and product analytics. The team spans two distinct but closely integrated functions: Business Systems and Data Engineering. Together, these functions are central to how LINQ drives decisions, measures outcomes, and scales operations across the organization. This team partners closely with Revenue, Finance, Product, and Engineering to ensure that data flows cleanly from source to insight. 

About The Role: 

We are seeking a Senior Director of Data Platform to lead and unify LINQ’s Business Systems and Data Engineering functions. This is a strategic, hands-on leadership role responsible for the people, tools, and infrastructure that power our data-driven operations. You will manage our CRM ecosystem and revenue operations tooling alongside our data and BI stack.  This role operates at the intersection of technology and business strategy, requiring equal parts technical credibility and executive communication. 

Primary Objectives: 

• Own and evolve LINQ’s Data Platform strategy, spanning Business Systems (Salesforce and RevOps tooling) and Data Engineering (Snowflake, dbt). 

• Build, lead, and develop a high-performing team across two functions; managers and individual contributors alike. 

• Ensure data reliability, governance, and operational excellence across all systems under your purview. 

• Partner cross-functionally with Revenue, Finance, Product, and Engineering to translate business needs into scalable data solutions. 

What You Will Be Doing: 

• Business Systems 

• Own the strategy and operations of LINQ’s Salesforce environment, including Sales Cloud, CPQ, and all connected RevOps tooling. 

• Partner with Sales, Marketing, Finance, and Customer Success to capture business requirements and translate them into scalable CRM solutions. 

• Govern data quality, user access, integration architecture, and system reliability across all Business Systems platforms. 

• Evaluate, procure, and manage third-party RevOps tools (e.g., Gong, Clari, ZoomInfo, or similar) to support GTM effectiveness and revenue intelligence. 

• Drive adoption and change management as new tools and processes are introduced across revenue-facing teams. 

• Data Engineering 

• Own the architecture and operations of LINQ’s modern data stack, including data warehouse, transformation layer, and orchestration/pipeline tooling. 

• Lead data modeling strategy, ensuring clean, well-documented, and business-aligned data products across Finance, RevOps, Product, and Operations domains. 

• Establish and enforce data governance standards: lineage, cataloging, access controls, and data quality frameworks. 

• Partner with Analytics, Engineering, and Product to deliver trusted data to downstream consumers; dashboards, reporting, and operational workflows. 

• Drive the evolution of LINQ’s data infrastructure from ingestion through transformation to delivery. 

• Leadership & Strategy 

• Hire, develop, and retain strong technical and operational talent across both functions. 

• Set clear team direction, priorities, and OKRs in alignment with LINQ’s strategic goals. 

• Represent the Data Platform function in senior leadership forums and cross-functional planning. 

• Build a culture of ownership, collaboration, and continuous improvement across your team. 

What We Are Looking For: 

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field (or equivalent experience); advanced degree a plus. 

• 10+ years of experience in data, business systems, or related technical fields, with at least 4+ years in a senior leadership role managing managers and cross-functional teams. 

• Deep expertise with Salesforce (Sales Cloud, CPQ preferred) and demonstrated experience governing RevOps technology ecosystems. 

• Strong background in modern data engineering: Snowflake, dbt, ETL/ELT pipelines, data modeling, and cloud data infrastructure. 

• Proven ability to bridge business needs and technical execution—translating ambiguous requirements into reliable systems and data products. 

• Experience establishing data governance, quality, and security frameworks at scale. 

• Track record of building and developing high-performing technical teams in fast-paced, growth-stage environments. 

• Excellent communication and executive presence—able to influence and align stakeholders at all levels of the organization. 

• Strong project and program management skills; comfortable managing competing priorities across multiple workstreams. 

What will Make You Stand Out: 

• Experience leading both a Business Systems (CRM/RevOps) function and a Data Engineering function simultaneously. 

• Salesforce certifications (e.g., Salesforce Certified Administrator, Platform App Builder, or Architect-level credentials). 

• Familiarity with data mesh, data product, or data contract architectures. 

• Experience with downstream BI and analytics tooling (e.g., Looker, Tableau, Sigma) as a consumer of the data platform. 

• Background in K–12 EdTech or adjacent SaaS markets. 

The Tech: 

• Salesforce (Sales Cloud, CPQ) 

• RevOps tooling (e.g., Gong, Clari, ZoomInfo, or similar) 

• Snowflake 

• dbt (dbt Core or dbt Cloud) 

• Data pipeline/orchestration tools (e.g., Fivetran, Airbyte, Airflow) 

• BI/Analytics tooling (e.g., Looker, Tableau, Sigma, or similar) 

• GitHub Enterprise 

Travel Requirements: 

• Less than 5% 

You love the story that data can tell. We are looking for an experienced Product Analyst who balances technical excellence with strong product intuition. You’ll be responsible for the full spectrum of data storytelling—from overseeing data ingestion and refining semantic models to providing deep-dive quantitative analysis on feature engagement, adoption funnels, and business impact.

You will deliver insights through concise dashboards, detailed reports, and emerging conversational interfaces. This is a high-impact role where you will partner directly with Product leaders and Engineers to influence the direction of our platform, transforming raw event data into the insights that fuel our next phase of scale.

WHAT YOU’LL DO:

• Drive Insight Strategy: Proactively identify the reports, dashboards, and deep-dive analyses required to move the needle on product goals
• Build & Scale: Design and implement robust data models and visualizations that serve as the "source of truth" for the Product organization
• Analyze at Scale: Navigate and extract meaning from billions of mobile and digital messaging data points
• Full-Stack Analysis: Get "in the weeds" to pull, clean, and transform raw data into sophisticated findings, ensuring data integrity at every step
• Influence Roadmap: Present findings to Product and Engineering leadership to directly inform feature prioritization and strategy

WHO YOU ARE:

• Experienced: 5+ years in BI, Data Analysis, and Data Modeling, ideally within a B2B SaaS or high-growth tech environment
• SQL Expert: 5+ years of experience writing complex, performant queries
• Technical: Proficient in programming or scripting languages (Python or R) for data manipulation and analysis
• Visual Storyteller: Expert-level experience with modern visualization tools (e.g., Looker, Tableau, Databricks)
• Scientifically Minded: BA/BS in Statistics, Math, Economics, Computer Science, or a related technical discipline; firm grasp of advanced statistical techniques
• Curious & Autonomous: A fast learner and self-starter who doesn't wait for a ticket to find an answer

Ideally, you'll have: 

• Modern Data Stack Flow: Experience with dbt, Airflow, or modern cloud warehouses (Snowflake/BigQuery)
• NoSQL Familiarity: Experience querying NoSQL databases like MongoDB or Redis
• AI/LLM Interest: Experience using Claude Code, GitHub Copilot, or other LLM harnesses to accelerate development and insight generation
• Cross-Functional Leadership: A proven track record of working across departments to align data strategy with business needs

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $135,000/year with an expected On Target Earnings (OTE) between $104,000 and $156,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Location: Austin, TX (3 days in office preferred)

About the Role

We are looking for a Customer Sales Director to focus on an at-scale strategy to support, retain, and grow a mix of our Commercial and Enterprise customer base. This role is a hybrid-based role in Austin, Texas.

What You'll Do 

• Build a strategic plan to drive expansion in a portfolio of Commercial and Enterprise accounts
• Manage multiple sales cycles and customer campaigns targeting Analytics Engineering, Data Platform, and Data Governance personas.
• Protect renewals by monitoring account signals, deepening executive alignment, and helping customers realize consistent value.

What You’ll Need

• Have 4+ years of experience in SaaS sales or account management, with a proven track record of exceeding targets.
• Have experience working in a fast-paced, high-growth environment, adapting quickly to constant change.
• Possesses strong consultative selling skills, engaging effectively with both technical and business audiences.
• Are proactive and organized, capable of independently managing a diverse book of business.

What Will Make You Stand Out

• You have prior experience in analytics, ETL, BI, or open-source software.
• You are familiar with dbt (core or Cloud) and the modern data stack, including platforms like Snowflake, BigQuery, Redshift, or Databricks.
• You have experience with consumption and/or usage-based pricing structures.
• You have experience with the MEDD(P)ICC sales methodology / Command of the Message

Remote Hiring Process

• Interview with a Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews; Account Manager & Customer Solutions Architect Manager
• Account Management Activity with Sales Leadership

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
• Health & Wellness
• Home Office Setup
• Cell Phone & Internet
• Learning & Development
• Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

#LI-LA1 #LI-Remote #LI-CA1

Location: Austin, Texas 

About the Role

As a Solutions Architect (SA), your role is to help prospects understand the value that dbt Cloud can bring to their organization. You’ll lead technical discussions with prospective customers, uncover their data challenges, and demonstrate how dbt Cloud can meet their needs through live demos and technical workshops.

Internally, you’ll contribute to building and refining our processes and playbooks, while acting as the voice of the customer to ensure we continue developing products that solve real problems and delight our users.

This role is based in Austin, with an expectation of being in the office two days per week.

What You’ll Do

• Spend the majority of your time on pre-sales opportunities to understand customer use cases and identify the value dbt Cloud can bring to their organization
• Consult with potential customers to uncover their data challenges and highlight how dbt Cloud can alleviate pain points and support their goals
• Own the demonstration of technical and business impact by delivering tailored demos of dbt Cloud and providing expert guidance
• Collaborate closely with Account Executives, building strong, trust-based relationships and offering strategic input throughout the deal process
• Maintain ongoing relationships with technical stakeholders within your accounts
• Partner with internal teams to improve how we work together, represent the voice of the customer in product discussions, and contribute to cross-functional initiatives
• Participate in our knowledge-sharing loop by helping improve team processes, refining assets, and enabling others through collaboration
• Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources

What You’ll Need

• 4+ years of experience as a data practitioner or consultant in data operations or analytics
• Strong technical foundation, with a solid understanding of modern data warehousing architectures, the modern data stack, and proficiency in SQL
• Prior experience with dbt is preferred; bonus points for dbt certification
• Experience working asynchronously as part of a partially remote, distributed team
• High degree of comfort presenting to diverse stakeholders or audiences, ideally in an externally facing role
• Ability to operate effectively in ambiguous, fast-paced environments and think on your feet during customer conversations
• Desire to be a strong team player—both within the SA team as we evolve our ways of working, and in daily collaboration with Account Executives as part of a deal team
• Openness to travel; we value the power of in-person relationship building, both internally and externally, and expect willingness to travel to events as needed

What Will Make You Stand Out

• Basic python competency and advanced SQL knowledge
• Proven experience in a pre-sales tech role
• Experience with traditional ETL tooling

Remote Hiring Process

• Interview with a Talent Acquisition Partner
• Hiring Manager Interview
• Technical Screen
• Team Interviews with a demo

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
  • Health & Wellness
  • Home Office Setup
  • Cell Phone & Internet
  • Learning & Development
  • Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. 

Location: Austin, Texas (Hybrid)

About the Role

Your role as a Customer Solutions Architect is to help current customers gain the most value from their dbt Cloud deployment, in partnership with the Sales Director and Solutions Architect on the account. To achieve this, you will monitor an existing book of business, lead technical discussions with customers, uncover new data challenges, and showcase how dbt Cloud can address their needs through live demos and technical workshops. Your end goal will be to drive customer satisfaction, resulting in renewal and expansion among our existing customers.

Internally, you will help our team by acting as the voice of the customer to ensure that we continue to build product that solves real problems and delights our customers, and be an integral part of the early Customer Solutions Architect team as we continue to build out our processes and playbooks. This person will be based in Austin and will be in office 2 days per week. 

What You'll Do

• Manage a portfolio of Commercial or Enterprise customers and proactively monitor the health of your accounts, product adoption, and utilization across your book of business to identify opportunities for potential expansion and churn or contraction risks
• Improve customer loyalty and retention through building and maintaining strong relationships with key technical stakeholders within customer accounts, and understanding their analytics needs and use cases to determine where dbt Cloud can help them achieve their goals
• Increase the value customers obtain from dbt Cloud through educating your customer base on new products and features as they are launched and on existing products and features that they may not be making use of
• Collaborate closely with Sales Directors and Solutions Architects on your accounts, building strong trust-based relationships and providing strategic input on the customer lifecycle and renewals processes
• Be the voice of the customer in product discussions, work with the team to improve the way we work together, and participate in other cross-functional activities
• Participate in the knowledge loop helping to improve our processes and assets and enabling others on the team
• Create and deliver external facing content through live events, blog posts, recorded tutorials, or other content

What You'll Need

• 2+ years of experience in a post-sales role, such as a technical account manager or CSE
• A solid technical background, with a firm understanding of modern data warehousing architectures, the analytics stack, and SQL proficiency
• High degree of comfort presenting to various stakeholders or audience, ideally with experience in an externally facing role
• Ability to operate in an ambiguous and fast-paced environment and think on your feet when engaged in customer conversations
• Desire to be part of a team, both as an active member of the Customer Solutions Architect team as we continue to evolve and improve how we work, and in your day-to-day work with Sales Directors and Solutions Architects
• Openness to travel. While we work in a remote first company, we value the power of in-person relationship building, both internally and externally, so a willingness to travel to external and internal events is required

What Will Make You Stand Out

• Bonus points for dbt certification, prior dbt experience will be very helpful in this role
• Basic python competency and advanced SQL knowledge
• Have experience with ancillary tools, managing data infrastructure, APIs, etc

Remote Hiring Process 

1. Interview with Talent Acquisition Partner
2. Interview with Hiring Manager
3. Technical Screen
4. Team Interviews with a role-play

Senior Manager, Analytics and Insight 

Overview:

As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity,  enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business.

The impact you'll make:

• Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities
• Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains
• Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling
• Drive proactive strategic insights to improve the caliber of decision-making across the business
• Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations
• Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement
• Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions
• Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO
• Design and oversee A/B testing and other experimental methodologies to validate product hypotheses
• Stay current with industry trends and best practices in analytics

What you've accomplished:

• Lead and develop an 6+ person team spanning analytics, business intelligence, and data science
• Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports
• Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows
• Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand
• Bachelor’s degree in Business, Data Science, Statistics, or a related field; Master’s degree preferred.
• 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role.
• Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt)
• Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers
• Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale
• Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level
• Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau)
• Strong understanding of statistical methods, A/B testing, and user research techniques
• Proven ability to manage projects effectively and work collaboratively in a fast-paced environment

Bonus points: 

• Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context
• Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency
• Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech)
• Experience supporting SOX-adjacent data validation or ERP integration workstreams
• Exposure to product analytics, experimentation frameworks, and attribution modeling

The base pay range for this position is $185,984 - $239,246 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Senior Manager, Analytics and Insight (Hybrid - 2 days onsite per week) 

Overview:

As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity,  enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business.

The impact you'll make:

• Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities
• Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains
• Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling
• Drive proactive strategic insights to improve the caliber of decision-making across the business
• Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations
• Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement
• Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions
• Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO
• Design and oversee A/B testing and other experimental methodologies to validate product hypotheses
• Stay current with industry trends and best practices in analytics

What you've accomplished:

• Lead and develop an 6+ person team spanning analytics, business intelligence, and data science
• Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports
• Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows
• Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand
• Bachelor’s degree in Business, Data Science, Statistics, or a related field; Master’s degree preferred.
• 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role.
• Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt)
• Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers
• Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale
• Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level
• Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau)
• Strong understanding of statistical methods, A/B testing, and user research techniques
• Proven ability to manage projects effectively and work collaboratively in a fast-paced environment

Bonus points: 

• Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context
• Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency
• Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech)
• Experience supporting SOX-adjacent data validation or ERP integration workstreams
• Exposure to product analytics, experimentation frameworks, and attribution modeling

The base pay range for this position is $185,984 - $239,246 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Senior Manager, Analytics and Insight (Hybrid - 2 days onsite per week) 

Overview:

As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity,  enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business.

The impact you'll make:

• Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities
• Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains
• Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling
• Drive proactive strategic insights to improve the caliber of decision-making across the business
• Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations
• Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement
• Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions
• Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO
• Design and oversee A/B testing and other experimental methodologies to validate product hypotheses
• Stay current with industry trends and best practices in analytics

What you've accomplished:

• Lead and develop an 6+ person team spanning analytics, business intelligence, and data science
• Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports
• Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows
• Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand
• Bachelor’s degree in Business, Data Science, Statistics, or a related field; Master’s degree preferred.
• 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role.
• Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt)
• Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers
• Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale
• Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level
• Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau)
• Strong understanding of statistical methods, A/B testing, and user research techniques
• Proven ability to manage projects effectively and work collaboratively in a fast-paced environment

Bonus points: 

• Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context
• Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency
• Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech)
• Experience supporting SOX-adjacent data validation or ERP integration workstreams
• Exposure to product analytics, experimentation frameworks, and attribution modeling

The base pay range for this position is $185,984 - $239,246 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

ABOUT THIS OPPORTUNITY

We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
• GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
• MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
• Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• 5+ years in a professional Data Science role with a track record of deploying models at scale.
• Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
• Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
• Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
• Experience with ETL/ELT processes, specifically using dbt.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.

Our Tech Stack

• Data Warehouse: BigQuery
• Orchestration: Airflow (Cloud Composer)
• Modeling: Vertex AI Pipelines, JupyterLab
• Deployment: Docker, GKE (Google Kubernetes Engine)

Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.

What Sets You Apart

• The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
• Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
• Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Application Deadline is [day of week], [month] [day] at [0:00 pm] MST

Position open until filled. 

#LI-Remote

About the role

Behind many of life’s most important transactions — buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card — is a network of credit relationships. Setpoint provides critical infrastructure for relationships between the world’s largest banks, credit funds and capital markets counterparties. We’re building trust in this system of credit. 

We are looking for an Analytics Engineer to join our team supporting our external data products. In this position, you will be reporting into our Head of Analytics and partnering closely with engineering, product, and implementation teams to build and maintain the data infrastructure that powers our products. This is a hands-on role where you’ll design and maintain data pipelines, create dashboards, and work directly with stakeholders to deliver insights that drive business outcomes.

Who will love this job

• A data product builder: You love creating robust, scalable analytics solutions that drive decision-making.
• A client partner: You enjoy working directly with clients (asset managers, business owners, technical stakeholders) to understand their needs and deliver solutions that work in the real world.
• A technical problem solver: You’re fluent in Python, SQL, and DBT, and know how to integrate them into a seamless analytics workflow.
• A team collaborator: You thrive in cross-functional work with engineering, product, and implementation teams.
• A strategic thinker: You look beyond the immediate task to anticipate analytics capabilities needed for future growth.

What you’ll do

• Own end-to-end implementations for the data products for our external customers.
• Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.
• Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.
• Prototype new data products to add to our product suite.
• Collaborate with engineering to drive the roadmap for the data products.
• Use GitHub-based workflows to maintain clean, version-controlled analytics code.
• Act as a subject matter expert for analytics best practices.

You should have

• 5+ years of experience in analytics engineering, data engineering, or a similar technical role.
• Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.
• Strong experience designing, implementing, and maintaining data pipelines and models.
• Experience in a customer-facing role, working with technical and business stakeholders.
• Experience working with asset managers, business owners, or financial services data sets is a plus.
• Excellent problem-solving, communication, and collaboration skills.

About Setpoint

Setpoint provides purpose-built capital and technology to asset-backed borrowers and lenders. Our platform is the funding operating system for originators: it verifies and stores documents; automates critical calculations and compliance reporting; and digitizes assets like homes or cars. Setpoint’s technology makes warehouse transactions instant and error free.

In August 2024, Setpoint announced the successful completion of its $31 million Series B funding round. 645 Ventures led the round, with significant strategic investments from Citi and Wells Fargo, alongside Andreessen Horowitz, NextView Ventures, Floating Point, Henry Kravis, Zillow founder’s 75 & Sunny, Vesta Ventures, Fifth Wall, Eltura Ventures, and Outrunner Capital. 

We offer a comprehensive benefits package that includes competitive salaries, stock options, medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation. We have offices in Austin, TX, New York City, NY, and Salt Lake City, UT with hybrid roles based in these locations and an expectation of two days a week in office (Tuesdays and Thursdays).

Compensation: $150,000 - $170,000 OTE dependent on multiple factors, which may include the candidate's skills, experience, location, and other qualifications. 

Setpoint provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

At http://Realtor.com , we are building products that empower millions of homebuyers, renters, and real estate professionals to navigate the journey of home ownership with confidence. Because data is our most strategic asset, we are seeking a Senior Data Governance Engineer to help operationalize our Data Governance mission, guiding our business-led data strategy. In this role, you will be the bridge between our high-level mission and technical execution, charged with developing and delivering enterprise wide data governance solutions.

As a senior engineer in our Data Governance Function, you will help scale our cross-functional governance programs, which help guide our data strategy. You will partner with engineering, product, and business leaders to deliver upon our governance needs, develop data guard rails, and guide the enterprise to data self service.

This role requires an experienced developer who thrives in ambiguity, has in-depth knowledge of data governance, quality and management, and is adept at driving data clarity. You should have a strong perspective on how to foster effective collaboration, manage competing priorities, and deliver results in a dynamic environment. You should be comfortable with tracking and leveraging metrics to support data health and performance, and advocating for continuous process improvement.

What you’ll do:

• You will help operationalize the data governance program by designing and developing tools to automate data discovery, metadata extraction and data lineage tracking
• Partner with Data Architects to design "governance-by-design" schemas 
• Build integrations between our data lake and governance catalog
• You will operate and maintain the technical features of the data catalog used to define data, document its metadata, and collect lineage. 
• You will ensure data is fit for purpose by following the defined data quality framework to manage the development, delivery and maintenance of of data quality rules, both at rest and in motion
• You will drive development efforts to implement enterprise-wide data governance initiatives such as a Master Data Management solution, Data Quality dashboards and a Data Marketplace.
• Deliver on data privacy initiative through the implementation and automation of data masking, encryption and regulatory compliance workflows

What you’ll bring:

• 8+ years of experience working as a data developer with at least 4 years specifically focused on Data Governance
• Bachelor’s degree or equivalent experience
• Strong understanding of data governance, data quality, and master data management best practices including experience implementing metadata management, data catalogs, lineage and data quality tools
• Deep expertise in SQL and Python and working knowledge of modern data stack components (dbt, Airflow, Kafka, or Spark).
• Experience implementing AI/ML initiatives in data pipelines to drive data governance
• Proficiency working in cloud environments (e.g. Snowflake)
• Strong analytical and problem-solving abilities, with a proactive approach to identifying and addressing challenges.
• Experience working with data catalog (e.g. Collibra, Alation, Azure, etc.) and data quality tools (e.g. Informatica, Ab Intio, etc.)
• Experience developing BI dashboards utilizing tools such as Tableau, Looker, QLik, etc.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Certification in Data Management (e.g. DAMA, CDMP)
• Experience with cloud platforms (e.g. Snowflake)
• Working knowledge of Acryl Data Catalog
• Knowledge of privacy regulations such as CCPA, GDPR, etc.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

The Work You’ll Do:
You’ll design, build, and operate backend services and data integrations that power personalized marketing experiences across CRM and Digital Marketing channels at Realtor.com®. You’ll work across the marketing technology stack—connecting internal data platforms to tools that activate, measure, and optimize campaigns. Your work will ensure the reliability, observability, and scalability of data pipelines that enable millions of users to receive relevant messages at the right time.

• Design, build, and operate backend services and data integrations that are secure, observable, and cost-efficient, using modern cloud patterns on AWS.
• Collaborate with data platform teams on the Snowflake and Kafka data platform (streaming and batch) to enable reliable data collection, processing, and access for near real-time marketing and analytics use cases.
• Contribute to streaming pipelines and consumers (e.g., Kafka/MSK) and batch workflows backed by Snowflake/DBT/Airflow/Hightouch, with a focus on correctness, performance,
  and operational excellence.
• Implement and extend CI/CD pipelines on the company’s deployment platform (CircleCI GitHub + Argo), driving paved-path adoption, test automation, and deployment safety.
• Help instrument, validate, and monitor clickstream and service events in partnership with data reliability teams, improving event health and taxonomy alignment across systems.
• Strengthen observability for services and pipelines (metrics, logging, tracing) to reduce mean time to detection/recovery and enable effective on-call rotations.
• Partner with cross-functional stakeholders (marketing, engineering, product, analytics, privacy) to define requirements, de-risk designs, and ship incremental value.
• Write clear technical documentation, contribute to runbooks, and participate in design and code reviews to raise engineering quality and knowledge sharing.
• Champion reliability and governance: adopt data lineage, ownership, and catalog tooling; incorporate validation and guardrails that prevent bad data from propagating.

What You’ll Bring:

• 5+ years of experience building backend systems and/or data-intensive services in production, with ownership across design, implementation, and operations.
• Bachelor’s degree or equivalent experience.. 
• Proficiency in one or more of: TypeScript/Node.js, Python, Java/Kotlin; strong foundation in writing maintainable, testable code.
• Solid SQL skills and experience with Snowflake or comparable cloud data warehouses; familiarity with data modeling and working with structured/semi-structured data.
• Experience with event-driven systems and streaming technologies (e.g., Kafka/MSK) and building resilient consumers/producers
• Hands-on with AWS services (e.g., Lambda, ECS/EKS, S3, IAM, MSK, API Gateway) and Infrastructure-as-Code (Terraform or CloudFormation).
• CI/CD expertise (preferably on CircleCI + GitHub + Argo) and a testing mindset across unit, integration, contract, and data validations.
• Strong observability practices (logs, metrics, traces) using tools like New Relic and Splunk; effective incident response and post-incident improvement.
• Excellent collaboration and communication skills; ability to partner with product, analytics, and other engineering teams to deliver outcomes.

Nice To Have Experience:

• Experience with CRM and digital marketing platforms (Braze, Cordial, Google Ads, Meta Ads, etc)
• Experience with the Snowflake data platform and its streaming/batch components; DBT and Airflow familiarity.
• Background in clickstream data reliability: event taxonomy, validation tooling, event health monitoring, and developer workflows that “shift-left” data quality.
• Familiarity with tracking and SDK ecosystems (e.g., Tracking SDK and “Direct Send”), experimentation, and downstream analytics integrations.
• Knowledge of data governance practices and lineage/discoverability platforms like the Data Catalog; exposure to privacy and compliance workflows (e.g., CCPA/CPRA).
• Experience operating services on Kubernetes (EKS), GitOps/ArgoCD, and adopting paved-path CI/CD patterns on CircleCI.

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Data Analyst, Data Intelligence 

Austin, TX or Grand Rapids, MI (Onsite 4 days per week) 

Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. 

About Acrisure   

Acrisure Enterprise Technology Group is where human expertise meets advanced technology.  

A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more.    

In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.  

The Role 

The Data Intelligence team is chartered with advancing data driven decision making across Acrisure. As a member of the Data Intelligence Team, you will be responsible for leading the requirements gathering, design, implementation and delivery of reporting and analytics capabilities for Finance and Accounting Business Functions. You will be comfortable working across a wide variety of people including senior executive leadership, analysts, program management, and technical team members.  

Here are some of the ways in which you’ll achieve impact: 

• Drive the development of efficient and reliable reporting and analytics capabilities with a customer-first mindset. 

• Advance the transition of users from legacy means of accessing information to the future state strategies of data enablement and self-service. 

• Create presentation/visualization of data to see beyond the numbers while transforming raw data into actionable insights and recommendations.  

• Identify, adopt, and evangelize data analysis best practices and technical standards. 

• Advocate for and identify creative implementations to optimize business impact. 

• Empower others to grow understanding of the complexity of data by creatively scaling how teams’ knowledge is shared and applied 

• Help identify better practices, tools, and relevant trends that can improve data quality across the business. 

You may be a fit for this role if you have: 

• 5+ years of industry experience as a Data Analyst or Business Intelligence Professional serving the finance and accounting business functions. 

• A passion for building remarkable things with data. 

• Demonstrated ability to be a data storyteller and can go deep in building data visualizations and reporting using third party tools (Tableau and PowerBI). 

• Strong understanding of data models, structures, theories, principles, and practices. 

• Proficiency working with stakeholders to gather requirements, understand process and translate them to data and create/evaluate associated KPIs. 

• Experience with SQL, Python, PowerBI, Tableau, dbt, BigQuery, Git, Palantir and data modeling 

• Experience with agile project execution and business tools such as Jira & ServiceNow  

• Have excellent communication and leadership skills and can unpack complex problems in order to find solutions.  

• Ability to understand the business purpose or problem behind a request. 

• Positive & creative problem solving in the face of data challenges. 

• Flexibility to successfully multi-task in a fast-paced environment with a positive attitude. 

• Strong teamwork, solution-centric, and customer-service-oriented attitude.  

• Possess empathy, kindness towards others, a positive attitude, and self-awareness. 

• Have a Bachelor’s degree in Computer Science, Math, Statistics, Business, or related field, or equivalent experience. 

#LI-austin  

#LI-grandrapids 

#LI-onsite  

Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.   

Benefits and Perks:  

• Competitive compensation  

• Generous vacation policy, paid holidays, and paid sick time   

• Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)  

• Company-paid Short-Term and Long-Term Disability Insurance  

• Company-paid Group Life insurance  

• Company-paid Employee Assistance Program (EAP) and Calm App subscription  

• Employee-paid Pet Insurance and optional supplemental insurance coverage  

• Vested 401(k) with company match and financial wellness programs  

• Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options  

• Paid maternity leave, paid paternity leave, and fertility benefits  

• Career growth and learning opportunities  

• …and so much more!  

Please note: This list is not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Offerings may vary based on subsidiary entity or geographic location.  

Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.  

Acrisure is an Equal Opportunity Employer.  

At Acrisure, we firmly believe that an inclusive workforce drives innovation, creativity, and ultimately, our collective success.    

We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. Acrisure also has a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination.   

Acrisure also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws. If you need to inquire about an accommodation, or need assistance with completing the application process, please email leaves@acrisure.com.   

California residents can learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy available at www.Acrisure.com/privacy/caapplicant.  

Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.  

Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice.  

Welcome, your new opportunity awaits you.  

There are amazing opportunities for talented people in every part of our business. We invite you to find your next great opportunity with us.  

Executive Search Firms & Staffing Agencies  

To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure's property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure's Human Resources Talent Department.  

#LI-onsite  

#BI-onsite 

Data Analyst, Data Intelligence 

Austin, TX or Grand Rapids, MI (Onsite 4 days per week) 

Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. 

About Acrisure   

Acrisure Enterprise Technology Group is where human expertise meets advanced technology.  

A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more.    

In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.  

The Role 

The Data Intelligence team is chartered with advancing data driven decision making across Acrisure. As a member of the Data Intelligence Team, you will be responsible for leading the requirements gathering, design, implementation and delivery of reporting and analytics capabilities for Finance and Accounting Business Functions. You will be comfortable working across a wide variety of people including senior executive leadership, analysts, program management, and technical team members.  

Here are some of the ways in which you’ll achieve impact: 

• Drive the development of efficient and reliable reporting and analytics capabilities with a customer-first mindset. 

• Advance the transition of users from legacy means of accessing information to the future state strategies of data enablement and self-service. 

• Create presentation/visualization of data to see beyond the numbers while transforming raw data into actionable insights and recommendations.  

• Identify, adopt, and evangelize data analysis best practices and technical standards. 

• Advocate for and identify creative implementations to optimize business impact. 

• Empower others to grow understanding of the complexity of data by creatively scaling how teams’ knowledge is shared and applied 

• Help identify better practices, tools, and relevant trends that can improve data quality across the business. 

You may be a fit for this role if you have: 

• 5+ years of industry experience as a Data Analyst or Business Intelligence Professional serving the finance and accounting business functions. 

• A passion for building remarkable things with data. 

• Demonstrated ability to be a data storyteller and can go deep in building data visualizations and reporting using third party tools (Tableau and PowerBI). 

• Strong understanding of data models, structures, theories, principles, and practices. 

• Proficiency working with stakeholders to gather requirements, understand process and translate them to data and create/evaluate associated KPIs. 

• Experience with SQL, Python, PowerBI, Tableau, dbt, BigQuery, Git, Palantir and data modeling 

• Experience with agile project execution and business tools such as Jira & ServiceNow  

• Have excellent communication and leadership skills and can unpack complex problems in order to find solutions.  

• Ability to understand the business purpose or problem behind a request. 

• Positive & creative problem solving in the face of data challenges. 

• Flexibility to successfully multi-task in a fast-paced environment with a positive attitude. 

• Strong teamwork, solution-centric, and customer-service-oriented attitude.  

• Possess empathy, kindness towards others, a positive attitude, and self-awareness. 

• Have a Bachelor’s degree in Computer Science, Math, Statistics, Business, or related field, or equivalent experience. 

#LI-austin  

#LI-grandrapids 

#LI-onsite  

Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.   

Benefits and Perks:  

• Competitive compensation  

• Generous vacation policy, paid holidays, and paid sick time   

• Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)  

• Company-paid Short-Term and Long-Term Disability Insurance  

• Company-paid Group Life insurance  

• Company-paid Employee Assistance Program (EAP) and Calm App subscription  

• Employee-paid Pet Insurance and optional supplemental insurance coverage  

• Vested 401(k) with company match and financial wellness programs  

• Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options  

• Paid maternity leave, paid paternity leave, and fertility benefits  

• Career growth and learning opportunities  

• …and so much more!  

Please note: This list is not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Offerings may vary based on subsidiary entity or geographic location.  

Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.  

Acrisure is an Equal Opportunity Employer.  

At Acrisure, we firmly believe that an inclusive workforce drives innovation, creativity, and ultimately, our collective success.    

We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. Acrisure also has a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination.   

Acrisure also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws. If you need to inquire about an accommodation, or need assistance with completing the application process, please email leaves@acrisure.com.   

California residents can learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy available at www.Acrisure.com/privacy/caapplicant.  

Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.  

Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice.  

Welcome, your new opportunity awaits you.  

There are amazing opportunities for talented people in every part of our business. We invite you to find your next great opportunity with us.  

Executive Search Firms & Staffing Agencies  

To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure's property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure's Human Resources Talent Department.  

#LI-onsite  

#BI-onsite 

ICON is seeking a Senior Software/Data Engineer I to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company.

You will not just build pipelines. Instead, you will be architecting the Digital Twin of an industrial robotics and construction company. You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases. Use cases will range from real-time reporting and analytics to AI/ML-driven operational workflows and decision-making. 

This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON’s headquarters in Austin, TX and reports to the Senior Director of Operations.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines in Palantir Foundry (and supplemental tools) to integrate data from enterprise systems (NetSuite, Workday, etc.) and external sources. Ensure pipelines are efficient and fault-tolerant, handling large data volumes from manufacturing and field operations (e.g. IoT sensor feeds).
• Data Modeling & Ontology: Develop and refine data models that organize enterprise data into meaningful structures. Leverage Foundry’s ontology features to define business objects (e.g. Customers, Work Orders, Inventory Items) and ensure data is linked in a way that reflects real-world relationships. Continuously improve these models for new business requirements – for instance, adding new attributes or new object types as we launch new programs.
• Data Quality & Governance: Implement data validation and quality checks in pipelines to ensure data accuracy and consistency. Monitor pipeline runs and set up alerts for anomalies or failures. Work with the team to enforce data governance policies (who owns which data, access controls, compliance needs) within Foundry and downstream systems.
• Cross-Functional Support: Collaborate with Data Analysts and business stakeholders to understand their data needs and optimize data outputs for analysis. For example, if Finance needs a specific revenue recognition report, ensure the pipeline provides the needed granularity. Provide ad-hoc data expertise to troubleshooting data issues or generating one-time analyses.
• Performance Optimization: Profile and tune data pipelines for performance. Optimize query logic, pipeline configuration, and resource usage so that data refreshes and analytics can occur in a timely manner (especially as data volumes grow with company expansion). Manage scheduling and orchestration of jobs to meet SLAs for data availability (e.g. daily financial report refresh by 8 AM).
• Integration with Systems: Work closely with Systems Architects to coordinate how data flows tie into system integrations. For example, if a new API integration is bringing in a type of data, design the pipeline to ingest that data and join it with relevant datasets for analytics. Provide input on what data transformations could happen in-flight vs. in Foundry to maximize efficiency.
• Tooling & Innovation: Contribute to developing internal tools or scripts to improve our data engineering workflow. This could include scripts for automating data deployments, custom plugins in Foundry, or using open-source frameworks (where applicable) to complement Foundry’s capabilities. Also evaluate new features in Foundry and emerging data technologies to keep our stack modern.
  
  
• Mentorship & Best Practices: As a senior member, guide junior data engineers in writing clean, maintainable pipeline code. Establish best practices for code versioning, documentation of data transformations, and general data engineering standards within the team.

Minimum Qualifications

• 7+ years of experience in data engineering or ETL development, handling large-scale datasets and complex pipelines. Strong foundation in data integration concepts and database design.
• Advanced Python skills for data processing (Pandas, etc.) and scripting, as well as solid SQL skills for querying and transforming data. Experience with PySpark or similar distributed data frameworks is a plus (Foundry uses Spark under the hood for big data).
• Experience building pipelines with enterprise data from systems like ERP, CRM, HRIS, or IoT sources. Familiar with different data formats (JSON, CSV, XML) and methods of extracting data (REST APIs, webhooks, database connectors).
• Hands-on experience with a modern data platform or pipeline orchestration tool. Experience with Palantir Foundry is a strong plus, but experience with alternatives (e.g. AWS Glue, Azure Data Factory, Databricks, Airflow, dbt, etc.) is acceptable if coupled with ability to learn Foundry quickly.
• Solid understanding of data modeling principles (relational schemas, star/snowflake schemas for analytics, normalization vs. denormalization tradeoffs). Ability to design schemas and data transformations that meet analytics requirements efficiently.
• Problem-solving and debugging skills: Able to investigate data discrepancies across systems, troubleshoot pipeline failures, and optimize slow queries.
• Attention to detail and commitment to data quality – recognizes the downstream impact of data issues and proactively puts checks in place.
• Good communication skills and ability to work with end users (analysts, managers) to clarify requirements. Comfortable explaining technical concepts to non-technical stakeholders when necessary.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience).

Preferred Skills & Experience

• Prior experience in a manufacturing or logistics environment where you dealt with IoT data, sensor streams, or other high-volume operational data. Understanding the nuances of such data (e.g. time-series data management) can be useful.
• Familiarity with cloud data architectures (AWS or Azure data services) as Foundry operates in cloud environments. Knowledge of storage services (S3, ADLS), data warehousing (Snowflake, Redshift), and how they integrate with pipeline tools.
• Experience with business intelligence tools or practices – able to appreciate how data will be used in dashboards or analytics so you can better tailor data outputs (experience with tools like Tableau, Power BI, or Foundry’s Contour/Quiver dashboards).
• Knowledge of DevOps and CI/CD for data pipelines – using version control (Git), and deploying code in a controlled, automated way.
• Master’s degree in Data Engineering or related field, or relevant certifications (e.g. Google Professional Data Engineer, AWS Data Analytics Specialty) indicating a commitment to ongoing learning in the field.

About the Role

We’re seeking a Senior Data Engineer to help design and build the infrastructure that powers data-driven decision-making and workflow automation across our healthcare platform. You’ll work closely with internal teams, partners, and stakeholders to define and deliver clean, reliable, and scalable data pipelines, with a strong focus on interoperability with EHR systems and healthcare APIs.

This is a high-impact role where you’ll influence architecture, data modeling, integration strategy, and client engagement in a regulated and data-rich environment with a team of engineers dedicated to building the highest quality systems.

What You’ll Be Doing

As a Senior Data Engineer at Chorus, you’ll be flexing your skills across, and providing real impact.

You’ll be:

• Owning and evolving internal data pipelines that support analytics, operations, and end applications
• Enabling self-service analytics and operational insights via semantic layers and tools (e.g. Metabase, Looker, Tableau, Power BI, etc…)
• Designing and maintaining integrations with external healthcare systems (EHRs, FHIR-based APIs, HL7 interfaces, Slack, Google, etc.)
• Collaborating on the development and maintenance of our central Data Warehouse, ensuring clean schema, lineage, and query performance
• Collaborating with product, engineering, and client delivery teams to understand and translate customer domain knowledge into structured data solutions
• Building workflow automation to support care management, reporting, and operational tasks.
• Championing data quality, observability, and governance, especially in regulated healthcare environments in team
• Mentoring engineers and contribute to a culture of knowledge sharing, technical excellence, and continuous improvement

What We’re Looking For

• 8+ years of experience in data engineering or similar roles
• Strong experience with modern data pipeline tools (e.g., Airflow, dbt, dlt, Dagster)
• Proficiency in SQL and Python (or equivalent data engineering languages)
• Experience integrating with EHRs or healthcare APIs (e.g., FHIR, HL7, SMART on FHIR).
• Experience working with HIPAA-compliant data practices, security models, and systems (e.g. encryption, access controls, audit logging, data segregation, data retention, breach detection)
• Experience with data modeling and designing data warehouses (e.g., Snowflake, BigQuery, Redshift, or Postgres-based solutions)
• Strong communication skills with the ability to work with both technical and non-technical stakeholders
• Prior experience in client-facing or consultative roles is a plus

Nice to Have

• Experience with healthcare data standards (LOINC, SNOMED, ICD-10, etc.)
• Exposure to workflow engines, rule engines, or care coordination platforms
• Experience structuring data architecture for MLOps usecases
• Familiarity with infrastructure-as-code and cloud-native tools (e.g., Terraform, AWS/GCP/Azure)
• Familiarity with container orchestration tools (e.g. Kubernetes, OpenShift)
• Background in building data platforms in high-compliance environments

Why You’ll Love Working with Us:

• Engage with an exciting, fast-growing, and diverse group of coworkers dedicated to improving lives by breaking down technology barriers.
• Work in a culturally rich environment that values diversity and inclusivity, ensuring a welcoming and supportive atmosphere for all employees
• Full medical, dental, vision and life insurance benefits
• 401K matching
• Company stock options
• Unlimited paid vacation
• Performance bonuses
• Company support for career and skill development
• Fun company events and outings
• Chorus is an equal opportunity employer with a commitment to diversity and inclusion

Compensation Disclosure
The anticipated base salary for this position is $160,000 to $175,000 based on the Los Angeles market. The base salary offered may vary depending on several factors, including the applicant's qualifications, relevant experience, specific skills, level of education, certifications, and the geographic location where the role will be performed.

Please note that the listed compensation details apply to the base salary only and do not include additional elements of the total compensation package, such as performance bonuses, stock options, or benefits. The final compensation package will be determined by evaluating the candidate’s qualifications in relation to market standards and internal pay equity.