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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing and supporting data pipelines, including AWS infrastructure and CI/CD practices, while ensuring data quality and compliance in multi-client environments. Proficient in Python scripting for automation and data ingestion, with a strong focus on operational documentation and incident response.
Highest-signal resume keywords
AWS Data Pipeline InfrastructurePython Scripting for Data IngestionCI/CD Pipelines (Jenkins)Snowflake Cloud Data WarehouseDocker Containerized Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringDevOpsDataOpsRoot Cause AnalysisData Quality ValidationMonitoring and Alerting SystemsSFTP IngestionDatabase SetupAccess ControlsPHI Handling
Soft Skills
Client CoordinationGeneralist Approach
Tools & Technologies
AWS LambdaPosit ConnectJenkinsGitDockerSAML/SSOEC2AthenaSNS/SQSR/Shiny
Industry Keywords
Healthcare Data EnvironmentPHI ClassificationAudit DocumentationHL7/ADT Familiarity
Tech Stack
Tools & technologiesAWSCloudDockerEC2JenkinsPythonSnowflake
About the role
Key responsibilities & impact- Support daily operation and monitoring of data pipelines across 10+ concurrent client environments
- Set up, configure, and support deployment of client-facing applications from environment setup through go-live stabilization and ongoing support
- Validate daily data flows, data loads, and refreshes across client environments
- Support provisioning and configuration of new client environments, including SFTP ingestion, instance provisioning, access controls, file formats, schedules, and encryption
- Contribute to Jenkins CI/CD pipelines, AWS infrastructure, and Posit Connect administration
- Build and maintain monitoring, alerting, data integrity alerts, and data volume QC dashboards
- Investigate processing, application, and data quality failures; perform root cause analysis and remediation
- Build and maintain client-specific ingestion pipelines and standardized data validation scripts
- Ingest historical data for new client onboardings and resolve data quality incidents
- Support migration of the data lake and core tables to Snowflake
- Manage AWS Lambda functions and event-driven triggers
- Provision client instances and manage database setup, ingestion configuration, and access controls
- Handle SAML/SSO certificate management and PGP encryption setup
- Enforce repository governance, deployment controls, and code review practices
- Set up and validate development and staging environments
- Support Docker-based monorepo deployment architecture
- Execute and document client offboarding processes
- Support compliance activities, PHI classification, audit documentation, certificate renewals, access restrictions, and credential rotation
- Maintain operational runbooks and documentation
- Report to and work under the technical direction of the DataOps lead
Requirements
What you’ll need- U.S. work authorization is required
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
- 2-3+ years of experience in data engineering, DevOps, or DataOps roles, including hands-on experience supporting production data pipelines
- Strong hands-on experience with AWS data pipeline infrastructure — S3, Athena, Lambda, EC2, and event-driven architectures (SNS/SQS)
- Strong Python scripting ability for data ingestion, validation, and pipeline automation; comfort with Bash
- Experience with CI/CD pipelines (Jenkins or equivalent) and Git-based version control practices (branch protection, PR workflows)
- Experience setting up, configuring, and supporting application deployments
- Experience managing multi-client or multi-tenant data environments, including onboarding and provisioning new environments
- Experience participating in incident response and root cause analysis for data pipeline and application issues
- Comfortable working as a generalist across infrastructure, data engineering, and DevOps
- Experience with Snowflake or other modern cloud data warehouse platforms
- Posit Connect or R/Shiny environment familiarity
- Docker and containerized deployment experience
- SAML/SSO certificate management and cloud security practices
- Healthcare data environment experience, including SFTP clinical file delivery, PHI handling, and HL7/ADT familiarity
- Experience building monitoring and alerting systems for data pipelines
- Occasional direct client IT coordination experience
Benefits
Comp & perks- Annual incentive compensation program
- Medical coverage
- Dental coverage
- Vision coverage
- Wellness programs
- Huron benefit plans