Sidekickhealth

Sidekickhealth

Senior Data Engineer, Infrastructure & Compliance

Minneapolis, Minnesota, United States · Senior

Sponsorship not specifiedDetected 16 days ago
PythonSQLNoSQLBigQueryAWSGCPKubernetesTerraformDevOpsRESTData EngineeringIncident ResponseComplianceHIPAALeadershipCollaboration

About the role

  • We are seeking a highly skilled and disciplined Senior Data Engineer to join our team in Minneapolis, MN.
  • This is a critical and unique role where your core responsibilities will focus on data infrastructure, data processing, pipeline development, and data architecture.
  • Note: This is a remote position based in or near Minneapolis, MN, requiring collaboration across time zones as part of a global development team, the majority of which is in Europe, and therefore requires working according to CET business hours.

Responsibilities

  • Pipeline & Processing Development: Design, build, and maintain robust, scalable, and secure data pipelines (ETL/ELT) using technologies like SQL and Python to ingest, clean, transform, and process clinical and operational data for downstream consumption.
  • Compliance-Focused Tooling: Develop and implement automation for data governance, quality checks, and compliant data masking/anonymization processes, helping to secure data consumption by internal and external teams.
  • Performance: Optimize data warehouse performance and query execution, specifically for reporting and analytical datasets.#
  • Protocol Leadership: Enforce and document strict adherence to all internal security policies, HITRUST requirements, and client-specific data handling protocols. Maintain comprehensive and accurate audit trails for all privileged access activities.
  • Protocol Leadership: Enforce and document strict adherence to all internal security policies, HITRUST requirements, and client-specific data handling protocols.
  • Maintain comprehensive and accurate audit trails for all privileged access activities.
  • Develop and implement automation for data governance, quality checks, and compliant data masking/anonymization processes, helping to secure data consumption by internal and external teams.
  • We maintain the highest standards of security and compliance, including HITRUST certification.

Requirements

  • Required Technical & Experience
  • Experience & Drive: 5+ years of experience as a Data Engineer or Backend Engineer focusing on data processing pipelines.
  • Must be a proactive, self-driven engineer capable of moving projects forward independently.
  • Platform: Experience with Kubernetes and Service-Oriented Architecture (SOA).
  • Cloud & Infrastructure: Proven experience with cloud data platforms (preferably Google Cloud or AWS), including tools such as BigQuery, and a good understanding of infrastructure as code (e.g., Terraform).
  • Required Compliance & Soft Skills
  • Familiarity with DaaS/VDI environments and strict security jump box protocols.
  • 5+ years of experience as a Data Engineer or Backend Engineer focusing on data processing pipelines.
  • Experience with Kubernetes and Service-Oriented Architecture (SOA).
  • Proven experience with cloud data platforms (preferably Google Cloud or AWS), including tools such as BigQuery, and a good understanding of infrastructure as code (e.g., Terraform).
  • Experience & Drive: 5+ years of experience as a Data Engineer or Backend Engineer focusing on data processing pipelines. Must be a proactive, self-driven engineer capable of moving projects forward independently.
  • Data Stack: Strong proficiency in Python is preferred. Expertise with relational and NoSQL databases, data warehousing concepts, and data modeling.
  • Integrity & Commitment: Exceptional personal integrity and a deep professional commitment to data privacy.
  • Healthcare Compliance: Must have experience or strong working knowledge of healthcare data regulations ( HIPAA, HITRUST ).
  • Operational Principles: Conceptual understanding of the trade-offs and methodologies involved in balancing development velocity with robust operational practices.
  • Prior experience building production systems that handle large volumes of clinical or health data.
  • Our Culture:
  • Inclusion, belonging, flexibility, and growth are core to how we work.

Nice to have

  • Strong proficiency in Python is preferred.
  • Expertise with relational and NoSQL databases, data warehousing concepts, and data modeling.
  • Data Stack: Strong proficiency in Python is preferred.

Skills

  • Compliant DevOps & Production Support (Specialized Focus)

Benefits

  • 401k match, health insurance, generous PTO, top technology, flexible working hours, access to Sidekick health programs, and more!
  • About Sidekick Health
  • Sidekick Health is a leader in digital health, combining clinical expertise, behavioral science, and cutting-edge technology to drive meaningful health outcomes.
  • Our Data Engineering team builds and maintains the secure, scalable pipelines and infrastructure necessary to process, analyze, and manage our global health data.

Company info

  • Everyone is encouraged to become the best version of themselves.
  • Feeling valued and fulfilled at work should be the norm.
  • Challenges are opportunities - both personal and professional growth are part of the journey.
  • A healthy work-life balance is essential, not just a nice-to-have.
  • Empathy and social sensitivity are qualities we actively look for in our team members.
  • Diverse teams simply perform better - and we build with that in mind.
  • We believe in getting to know each other on a personal level.
  • Our goal is to make a meaningful, positive impact on the lives of others.
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