Title: Staff Engineer - Data Platform Location: San Francisco United States Location San Francisco, CA; Seattle, WA Employment Type Full time Location Type Hybrid Department Engineering Compensation - $240K – $260K Salary ranges are determined by role and level, and within the range individual pay is determined by additional factors including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits. Job Description: About Haus Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote "half the money I spend on advertising is wasted; the trouble is I don't know which half" still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth. With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes-automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x. Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by LinkedIn as a 2025 Top Startup! The Role Haus's data engineering team powers the entire incrementality platform - every causal experiment, every marketing mix model, every dollar of ad spend we help our customers reallocate runs on the pipelines this team builds. We are looking for a Staff Software Engineer to set the technical direction for how Haus ingests data from ad networks, customer warehouses, and partner tools, and how we normalize it into a clean, trustworthy foundation for our data science research and customer-facing products. You will be the senior-most IC on a 6-10 person team, partnering directly with engineering leadership, data science, and product teams to make Haus's data platform a durable competitive advantage. What you'll do - Be the tech-lead and architect for Haus's data ingestion and normalization platform - ad network APIs (Google, Meta, TikTok, Amazon, etc.), Fivetran connectors, and customer warehouses (Snowflake, BigQuery) - balancing throughput, cost, and reliability. - Design and lead implementation of high-leverage systems: schema evolution, data contracts, DQ frameworks, idempotent backfills, lineage, time-travel, data reproducibility and pipeline observability. - Drive architectural decisions in our GCP / BigQuery / dbt stack - build vs. buy, what to standardize, what to deprecate - and write the design docs that align Engineering, DS, and Product teams. - Raise the engineering bar through code review, design review, and mentorship; level up Senior engineers and unblock the team on the hardest problems. - Partner with data science to translate fuzzy modeling and research needs into pipeline contracts and SLAs that downstream teams can trust. - Own incident response and post-mortems for critical pipeline failures; turn one-off fires into systemic fixes. - Drive design and implementation of AI (Agentic) workflows for data quality and analytics - Influence the broader engineering org's data strategy. Qualifications - 8-10+ years of software engineering experience, with at least 4 years building production data platforms at meaningful scale (terabytes/day, hundreds of pipelines, or comparable). - Track record of Staff-level technical leadership: setting direction across multiple workstreams, writing design docs others build from, and mentoring senior engineers. - Deep expertise in Python and SQL/dbt, with strong fluency in a modern orchestrator (Dagster, Airflow, Temporal, etc) and a cloud data warehouse (BigQuery, Snowflake, etc). - Demonstrated ownership of a non-trivial data platform - schema design, schema evolution, data quality, lineage, cost, and reliability - not just writing pipelines, but designing the system the pipelines live in. - Strong product judgment - comfortable working with DS, ML, or analytics consumers and translating their needs into clean data contracts. - Excellent written and verbal communication; able to defend technical decisions to engineering, product, and exec stakeholders. Bonus Points - Background contributing to or maintaining open-source data tooling/frameworks (Apache Spark, Apache Beam, Apache Iceberg). - Experience building AI Agents in a data platform setting. What We Offer: R&D Roles: We're a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work - this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we're probably not the right fit - and that's okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. Some of our benefits include: - Flexible PTO - take time when you need it! - Equity - Startup environment with part-ownership in our successes - Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best - WFH stipend to support the set up you need to be productive - Events & Offsites - opportunities to connect and celebrate in real life! - Free Lunch - Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) - New Parent Leave - take time to welcome your newest Hausmate We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City. Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self - we would love to hear from you.

• Design, build, and maintain scalable data pipelines and ELT/ETL workflows. • Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications. • Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets. • Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets. • Design and implement data quality, validation, and monitoring processes. • Support both batch and near real-time data integration requirements. • Develop APIs and data services that enable internal and customer-facing applications. • Optimize data pipeline performance, scalability, and cost efficiency. • Document data architectures, pipeline processes, and engineering standards. • Evaluate emerging technologies and recommend improvements to the organization's data platform. • Mentor team members and help establish engineering best practices.

Develop data-driven solutions and scalable data integration frameworks, build applications using various SaaS tools and open-source frameworks, and manage production support processes for data quality and lifecycle.

Your role at DynatraceWe are looking for a Sr. Data Engineer, Data Automation & Platforms, with deep expertise across two core disciplines: ETL/ELT pipeline automation and data platform administration. You will build and operate the data infrastructure that powers analytics, reporting, and self-service data access across the organization, while keeping the platform reliable, governed, and cost-efficient. Key Responsibilities - ETL / ELT Pipeline Automation: Build and operate scalable ELT/ETL pipelines using open-source tools (Python, Spark, etc) and managed platforms such as Fivetran, etc, applying automation-first patterns to minimize per-source engineering effort. Own the dbt project end-to-end - model layering, testing, deployment, and lineage - and instrument pipelines with data quality checks, SLA alerting, and CI/CD practices. - Platform Administration & Operations: Administer Data platform tools such as Snowflake, AWS Services, DBT Cloud across all environments, warehouse sizing, query optimization, object lifecycle, RBAC design, and Row-Level Security implementation with access provisioning automated through scripting or infrastructure-as-code. Own alerting and notification automation for pipeline health, data quality breaches, and cost spikes, and provide operational support and administration. May need to participate in On-Call rotations. This is a remote eligible position. Candidates who sit within a 45 mile radius of Boston, MA; Denver, CO; Detroit, MI will be required to work hybrid (2 days per week in office). All candidates will be required to work EST hours. What will help you succeedMinimum Requirements: - 6+ years of data engineering experience with senior-level ownership of pipelines and ingestion systems. Preferred Requirements: - Hands-on experience with open-source orchestration tools - Python, Apache Airflow, Spark, Kafka, or equivalent. - Experience operating Fivetran, dbt - connector configuration, schema drift handling, and sync management. - Experience building ingestion automation frameworks using metadata-driven or configuration-driven patterns. - Hands-on Snowflake administration - virtual warehouse sizing, query tuning, clustering keys, object lifecycle management, and credit cost governance. - Snowflake feature administration including Streams, Tasks, Dynamic Tables, Snowpipe, and Data Sharing. - Platform-level administration of managed ELT tools such as Fivetran or Matillion - user management, connector governance, environment configuration, and operational support. - Hands-on dbt administration: project configuration, environment and job management, dbt Cloud/Core deployment, and model promotion workflows. - DevOps & Release Automation / Monitoring: - Experience owning end-to-end alerting and notification automation for pipeline failures, data quality breaches, SLA violations, and platform cost anomalies. - Experience applying DevOps practices to data infrastructure, Git-based version control, CI/CD pipelines (GitHub Actions, GitLab CI, or equivalent), and automated testing for dbt models and pipeline code. - Infrastructure-as-code experience (Terraform or equivalent) for provisioning Snowflake objects, roles, and warehouses in a repeatable, auditable way. - Ability to manage release workflows across dev / staging / prod environments with automated promotion gates and rollback capability. - Experience with Snowflake AI integrations - Snowflake SnowPro Core, Advanced, or Cortex AI certification - Experience with dbt Mesh or cross-project dbt architectures at scale - Background in SaaS industries Why you will love being a Dynatracer - A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly. - Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research. - A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries. - An environment that fosters innovation, enables creative collaboration, and allows you to grow. - A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals. - A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team. - A relocation team that is eager to help you start your journey to a new country, always there to support and by your side. - Attractive compensation packages and stock purchase options with numerous benefits and advantages. Compensation and RewardsDOE, salary $125K - $155K, plus Health, Dental, Life, STD, LTD, 401K, PTO. Total compensation may vary depending on candidate experience/education and location. Equal Employment OpportunityAll your information will be kept confidential according to EEO guidelines. We offer competitive compensation, company-sponsored premium benefits, medical, dental, vacation/holidays, company matching 401(k) Plan, etc. Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law. If your disability makes it difficult for you to use this site, please contact careers@dynatrace.com. Dynatrace participates in E-Verify, participant information in English and Spanish. Right to work information in English and Spanish. EEO is the Law. To be considered for this position, please upload your resume/CV.