Artificial Intelligence
Role details
Job location
Tech stack
Job description
The Staff Data Engineer is a senior technical leadership role responsible for defining and evolving our data platform strategy, setting the architectural direction for our data pipeline ecosystem, and enabling data scientists, analysts, and engineers to operate at scale. The Staff Data Engineer will serve as a technical anchor across teams-driving standards, solving the most complex data challenges, and shaping the long-term infrastructure that powers Foodsmart's data-driven mission.
You will:
- Define and own the strategic architecture of Foodsmart's data platform, setting the technical direction for scalable, reliable, and governed data infrastructure.
- Lead the design and implementation of next-generation data pipelines, data models, and platform capabilities that support advanced analytics and machine learning at scale.
- Establish and champion company-wide standards for data quality, governance, security, and compliance-including automated frameworks for validation, enrichment, and lineage tracking.
- Act as a cross-functional technical leader, partnering with engineering, product, data science, and business stakeholders to align data platform capabilities with organizational goals.
- Identify systemic bottlenecks and drive platform-wide improvements in performance, reliability, and developer productivity.
- Mentor and level up senior and junior engineers alike; influence hiring decisions, technical roadmaps, and data platform strategy at the organizational level.
- Serve as an internal authority on data engineering best practices, contributing to broader engineering culture through documentation, design reviews, and knowledge sharing., Build and own the company s modern data platform: ingestion, orchestration, Snowflake architecture, dbt transformations and CI/CD, observability, governance, and a semantic layer to enable trusted analytics and production AI/ML workloads. Partner cross-functionally and automate recurring operational pain points into reusable platform capabilities. Top Skills: Ai/MlCi/CdDbtFivetranMetabaseOmniRudderstackSnowflakeSQL Jellyfish
Staff Data Engineer
3 Days Ago Remote or Hybrid United States 200K-260K Hourly Senior level 200K-260K Hourly Senior level Big Data * Cloud * Productivity * Software * Database * Analytics * Automation Own and architect large-scale data pipelines, orchestration, and integrations. Drive IaC strategy (Terraform), third-party API and AI/LLM tool integrations, build export pipelines and internal tooling, mentor engineers, and align cross-team technical strategy for reliable, scalable data infrastructure. Top Skills: Apache AirflowCi/CdClaudeCloudFormationDagsterDelta LakeGitGithub CopilotGitlabJIRALakehousePrefectPythonRest ApisTerraform Nabis
Requirements
- A technical visionary who can balance long-term platform thinking with pragmatic, high-impact delivery.
- Deeply quality-oriented, with an organizational sense of ownership over data reliability, observability, and accessibility.
- A trusted partner to senior leadership, able to translate complex technical tradeoffs into clear business implications.
- Experienced navigating regulated environments with a rigorous approach to secure and compliant data handling.
- A force multiplier-you make the engineers around you significantly more effective., * 10+ years of professional experience in data engineering, with a demonstrated track record of driving large-scale, org-wide data platform initiatives.
- Proven experience functioning at a staff or principal level-influencing architecture decisions beyond a single team or project.
- Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery) and distributed data processing frameworks.
- Advanced SQL skills and strong experience with relational, columnar, and NoSQL database systems.
- Expert-level proficiency in data pipeline and workflow orchestration tools (e.g., Apache Airflow, Dagster) and experience designing for operational maturity (observability, alerting, recovery).
- Strong programming background in Python, Scala, or Java for data processing, automation, and platform tooling.
- Experience in backend development with proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as
- PostgreSQL or MySQL.
- Deep experience designing data models and schemas for both operational and analytical use cases, including dimensional modeling and data mesh or data lakehouse patterns.
- Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains strongly preferred.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
Benefits & conditions
Be an Early Applicant Remote Hiring Remotely in United States 180K-215K Annually Expert/Leader Remote Hiring Remotely in United States 180K-215K Annually Expert/Leader Lead design and evolution of Foodsmart's data platform and pipelines, set architecture and standards for data quality, governance, and observability, enable analytics and ML at scale, mentor engineers, and drive platform-wide performance and reliability improvements., 145K-170K Annually Senior level 145K-170K Annually Senior level Cannabis * Payments * Software * Transportation * Analytics Lead development and ownership of end-to-end data pipelines and platform tools. Build and optimize ingestion, transform data with dbt and Jinja, implement monitoring/alerting, manage deployments and CI/CD, and create self-service analytics applications and internal tooling. Top Skills: APIsBigQueryCdcCi/CdDatabricksDbtGitJinjaOrchestratorsPythonSnowflakeSQL
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