What you will do
- Execute and validate specific phases of the data migration lifecycle, including data extraction, transformation, and loading (ETL/ELT).
- Build and optimize complex SQL queries for manipulating, cleansing, and transforming large datasets from source systems.
- Develop and manage efficient SOQL queries to extract, update, and validate data within the Salesforce environment.
- Work hands-on with AWS data services (e.g., S3, Glue, Lambda) to stage, process, and prepare data for ingestion.
- Utilize Salesforce integration tools, such as the Data Loader and Bulk API, to efficiently load data into Health Cloud objects.
- Collaborate with Data Architects and Senior Engineers on the development of data mapping documents from legacy models to the Salesforce Health Cloud data model.
- Assist in performing data profiling, cleansing routines, and reconciliation activities.
- Support rigorous testing efforts, including unit testing and User Acceptance Testing (UAT), to ensure data integrity and accuracy post-migration.
- Strictly adhere to protocols ensuring data handling and security comply with HIPAA and other relevant healthcare privacy regulations.
- Troubleshoot data integrity issues and optimize ETL performance under supervision.
What we look for
- 2–3 years of practical experience in data engineering, ETL, or dedicated data migration, with exposure to the Salesforce platform.
- Solid foundational knowledge of Salesforce Administration.
- Understanding of the standard Salesforce data model (objects, field types, relationships).
- Proven ability to write, debug, and optimize complex SQL queries.
- Experience in writing and managing SOQL queries for data interaction within Salesforce.
- Familiarity with the Salesforce Health Cloud data model and common standard objects.
- Hands-on proficiency with Salesforce Data Loader & Workbench
- Advanced Excel/Google Sheets data manipulation skills (e.g., pivot tables, text-to-columns, VLOOKUP, cleaning functions).
- Basic understanding of ELT principles and tools (e.g., MuleSoft, Talend, or Python scripting).
- Comfortable managing user access, profiles, and permission sets
- Experience working with AWS services (S3, RDS, or Glue) in a data environment.
- Exposure to the Healthcare industry and an awareness of sensitive data, PHI, and HIPAA requirements.
- Strong analytical skills and a dedication to detail and accuracy.
- Meticulous Attention to Detail in tracking data quality and accuracy.
- Process-Oriented, with the ability to follow a multi-step data migration checklist accurately.
- Eager to learn complex ETL processes and advanced SQL / SOQL from senior team members
- Salesforce Certified Developer or Administrator (preferred)
- AWS Certified Cloud Practitioner or AWS Certified Solutions Architect – Associate
Top Skills
What We Do
Penrod is the trusted Salesforce implementation, advisory, and managed services partner to solve healthcare's biggest challenges.
We're Healthcare Focused.
We understand that healthcare organizations face unique challenges. We achieve excellence by excelling in one industry. That's why healthcare & life sciences is all we do.
We're Problem Solvers.
We believe that the challenges healthcare organizations face can be solved with technology. That's why we focus on delivering solutions that are tailored to unique healthcare & life sciences use cases.
We're Authentic and Fun.
We aspire to bring our authentic selves into every engagement. That's how we develop relationships that result in the best solutions.







