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HANDLE® Global · 2 weeks ago

Staff Analytics Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

7+ years exp

HANDLE Global is a leading healthcare supply chain analytics and fulfillment solutions provider dedicated to revolutionizing the healthcare industry. The Staff Analytics Engineer will own the data architecture, build production pipelines, lead customer data integration, and ensure system reliability while bridging technical and business worlds.

Health CareHospitalManagement Information Systems

Responsibilities

Own the Data Architecture: Take ownership of our data infrastructure and drive it forward. The foundation is built, now we need you to evolve it to support our next phase of growth. Set standards for our semantic layer, data quality frameworks, and modeling conventions. We know where we're headed; we need you to ensure our codebase is both flexible enough to handle new customer requirements and stable enough to maintain our momentum as we scale

Build & Ship Production Pipelines: Take over hands-on delivery across our modern stack (PostgreSQL, Databricks, Dagster, dbt core, Fivetran/Airbyte). Write clean, maintainable SQL and Python that the team can build on. Own data quality so stakeholders can trust what they see

Lead Customer Data Integration: Own and evolve the ELT pipelines that onboard every new SaaS customer using PySpark and our internal Data Hammer package to translate their unique business logic into our standardized schema. Own change data capture (CDC) processes for customer data - monitoring pipeline health, handling schema evolution, and troubleshooting data integration issues. Continuously enable new features that reduce customer time-to-value. These pipelines are business-critical and already running. We need you to take them over, improve them, and scale them

Keep Systems Reliable: Inherit ownership of our data operations. Navigate complex data issues across the entire stack, piecing together context as our platform and customer integrations evolve. Enhance our existing monitoring and alerting systems to surface problems before they impact customers. Own the daily health of customer data pipelines and coordinate with customer success, master data, and platform engineering teams when integration issues arise

Bridge Technical & Business Worlds: Step into customer-facing and stakeholder conversations. Turn vague business requirements into concrete technical solutions. Work directly with the data team, product, platform engineering, customer success, and customers themselves during technical discussions. Present findings to leadership with clarity and confidence

Raise the Bar: Take our analytics engineering practices to the next level. Mentor teammates and champion data-driven decision-making across the organization. Help us maintain our execution velocity as the team and codebase grow

Qualification

SQLPythonData EngineeringData IntegrationPySparkDbtDatabricksCloud ServicesStakeholder ManagementDashboard BuildingEntrepreneurial MindsetCollaborationProblem Solving

Required

Bachelor's degree in Computer Science, Data Engineering, Analytics, or a related field (Master's preferred) or equivalent combination of education, training, and experience

Strong business acumen and people skills

7+ years of professional experience in analytics engineering, data engineering, or related roles

Expert-level SQL skills, including advanced query optimization and complex dbt-core projects

Strong proficiency in Python for data manipulation, automation, and API consumption

PySpark experience for data ingestion and transformations

Deep experience with modern data stack tools (dbt, Databricks, cloud data warehouses)

Proficiency with orchestration frameworks such as Dagster (Airflow/Prefect acceptable)

Experience with ingestion tools like Fivetran and Airbyte

Familiarity with AWS, GCP, or Azure services and cloud-native architectures

Ability to work with minimal requirements and solve problems independently

Strong stakeholder management skills with the ability to explain technical concepts to both technical and non-technical audiences

Experience building dashboards and enabling self-service analytics

Proven track record of delivering high-impact projects under tight deadlines

Comfortable interfacing directly with external customers during business and technical discussions

Ability to collaborate effectively across functions including master data, customer success, platform engineering, and product

Thrives in fast-paced, ambiguous environments with shifting priorities

Comfortable serving as the 'go-to' person for data challenges across the organization

Entrepreneurial mindset with a bias toward action and problem-solving

Preferred

Expertise in SQL CRUD operations (INSERT, UPDATE, DELETE) on transactional databases, with an emphasis on optimization, data integrity, and safe data modification practices

Comfortable using agentic coding assistants such as Claude Code, Codex, Cursor

Experience with entity resolution, including record deduplication, cross-system entity matching, and the development of identity resolution pipelines

Experience building FastAPI endpoints and data services to make analytics actionable for internal teams

Familiarity with AI/LLM model utilization (e.g., Claude, Chat-GPT, Gemini) and demonstrated ability to integrate AI capabilities into data workflows or applications

Loves talking about Mermaids (if this is you, you're in the right place)