Lead Data Systems Engineer
New
J
JobgetherMedical research
Remote; based in the United StatesFull-TimeLead
Salary$150,000–$170,000 USD; eligibility for a discretionary annual bonus
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Job Details
- Required Skills
- AWSPythonSQLSalesforceRESTful APIsTerraformGitHubCloudFormation
Requirements
- Demonstrated experience in data engineering, cloud engineering, systems integration, or a related technical field, including responsibility for production systems in enterprise environments.
- Strong hands-on experience with AWS services, including RDS, EC2, S3, Lambda, Glue, IAM, CloudWatch, and VPC networking.
- Advanced proficiency in Python and SQL for data pipelines, automation, database development, and troubleshooting.
- Experience designing, integrating, and operating production data workflows involving APIs, file-based ingestion, high-volume data loads, monitoring, validation, alerting, and recovery.
- Strong knowledge of Salesforce data models, APIs, integration patterns, sandboxes, and bulk-data tools.
- Solid understanding of cloud and database security, including access controls, credential management, network security, PII protection, and data retention.
- Experience with infrastructure as code, version control, and automated deployment practices; Terraform, CloudFormation, and GitHub are preferred.
- Ability to lead complex technical projects independently, make architectural trade-offs, and manage implementation through completion.
- Ability to translate business requirements into technical solutions and collaborate with technical and non-technical stakeholders.
- Ability to provide technical guidance, mentor colleagues, and coordinate with vendors and consultants.
- Experience with SmartSimple, Amazon Redshift, Athena, AppFlow, Domo, or comparable data and business platforms is preferred.
- Previous experience in a nonprofit or mission-driven organization is a plus.
Responsibilities
- Gather technical requirements from stakeholders and translate business needs into implementation plans.
- Lead technical initiatives and provide guidance, mentorship, and knowledge sharing to colleagues.
- Architect, administer, and optimize AWS data and application infrastructure, including databases, storage, compute, networking, monitoring, and access controls.
- Develop and operate automated data pipelines, backup and recovery processes, and production workflows.
- Lead data migrations, system integrations, and production cutovers across enterprise platforms.
- Build, maintain, and troubleshoot Python, SQL, REST API, SFTP, and bulk-data workflows connecting Salesforce, SmartSimple, and other business systems.
- Administer business-critical applications and legacy platforms while implementing access controls, PII protections, and data retention policies.
- Establish infrastructure-as-code, automation, version control, and reliable deployment practices.
- Monitor production systems and improve security, resilience, reliability, and operational efficiency.
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