Data Engineer II
Assistrx
Listing collected from Assistrx's career site. NextChapter is independent of Assistrx.
Florida, United States · Posted October 24, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Assistrx
More in Florida job market · Healthcare & Hospital Systems · Data & Analytics jobs
More roles at Assistrx
Similar jobs
- Senior Enterprise Data Engineer · North Broward Hospital District (Broward Health) · Fort Lauderdale, FL
- Principal, Data Engineer · L3Harris · Tallahassee, FL
- Lead, Data Architect - Business Solution Architect · L3Harris · Tallahassee, FL
- Managed Services - Data Engineer - Senior Associate · PwC · Miami, FL
- Sr. Data Engineer · Virgin Voyages · FL
- Principal Data Engineer · Walmart · Sunnyvale, CA
Data & Analytics jobs in the rankings
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Assistrx has filed 2 layoff notices in the last twelve months, covering 193 workers, most recently September 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Overview
Data Engineer will be responsible for best practices related to data architecture, ETL and documentation of data flow within AssistRx source systems and client implementations. Additionally, support existing systems/processes and develop new features and functionality, along with reviewing, presenting and implementing enhancements.
Responsibilities
Design ETL (extract, transform, and loading) processes within Azure, dbt, Snowflake and Salesforce for client migrations
Build processes for data matching and clean-up prior to loading of migration data. Responsible for all data flow documentation from a client implementation perspective.
Assist with the database design, the build out and documentation of internal processes as it relates to Salesforce multi-tenant solutions to ensure it meets customer requirements for downstream data products. Assess current and future data transformation needs to recommend, develop, and train new data integration tool technologies
Discover efficiencies with shared data processes and batch schedules to help ensure no redundancy and smooth operations
Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence and MDM solutions, including Data Lakes/Data Vaults.
Qualifications
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work 3-5 year’s experience with a strong proficiency with SQL query/development skills
Develop ETL routines that manipulate and transfer large volumes of data and perform quality checks
Hands-on experience with ETL tools (e.g Informatica, Talend, dbt, Azure Data Factory)Experience working in the healthcare industry with PHI/PIICreative, lateral, and critical thinker
Excellent communicator
Well-developed interpersonal skills
Good at prioritizing tasks and time management
Ability to describe, create and implement new solutions
Experience with related or complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)Knowledge / Hands-on experience with BI tools and reporting software (e.g. Cognos, Power BI, Tableau)Big Data stack (e.g.
Snowflake(Snowpark), SPARK, Map
Reduce, Hadoop, Sqoop, Pig, HBase, Hive, Flume)
Pay Range
USD $111,496.00 - USD $139,370.00 /Yr.
Design ETL (extract, transform, and loading) processes within Azure, dbt, Snowflake and Salesforce for client migrations
Build processes for data matching and clean-up prior to loading of migration data. Responsible for all data flow documentation from a client implementation perspective.
Assist with the database design, the build out and documentation of internal processes as it relates to Salesforce multi-tenant solutions to ensure it meets customer requirements for downstream data products. Assess current and future data transformation needs to recommend, develop, and train new data integration tool technologies
Discover efficiencies with shared data processes and batch schedules to help ensure no redundancy and smooth operations
Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence and MDM solutions, including Data Lakes/Data Vaults.
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work 3-5 year’s experience with a strong proficiency with SQL query/development skills
Develop ETL routines that manipulate and transfer large volumes of data and perform quality checks
Hands-on experience with ETL tools (e.g Informatica, Talend, dbt, Azure Data Factory)Experience working in the healthcare industry with PHI/PIICreative, lateral, and critical thinker
Excellent communicator
Well-developed interpersonal skills
Good at prioritizing tasks and time management
Ability to describe, create and implement new solutions
Experience with related or complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)Knowledge / Hands-on experience with BI tools and reporting software (e.g. Cognos, Power BI, Tableau)Big Data stack (e.g.
Snowflake(Snowpark), SPARK, Map
Reduce, Hadoop, Sqoop, Pig, HBase, Hive, Flume)