AssistRx Logo

AssistRx

Data Engineer

Posted 8 Days Ago
Remote
Hiring Remotely in United States
Junior
Remote
Hiring Remotely in United States
Junior
Design, build, monitor, and troubleshoot ETL pipelines (Azure Data Factory) to move and transform large datasets from sources like Salesforce and SFTP into Snowflake. Implement SQL-based data cleansing and quality checks, document data lineage and mapping, collaborate with QA/UAT, and recommend new integration tools and efficiencies.
The summary above was generated by AI

AssistRx, LLC has an opening for the position of Data Engineer (Ref# DE68SRM).

Work Location:  Position may telecommute / work remotely from anywhere in the U.S.

Job Duties:  Build ETL (extract, transform, and loading) jobs using Azure Data Factory for internal projects and externally facing customers that use various platforms such as Azure, Salesforce, and SFTP technologies.  Develop ETL jobs that manipulate and transfer large volumes of data and perform quality checks.  Monitor active ETL jobs in production.  When ETL jobs fail, log into the environment to determine what failed and work on the issue or collaborate with team members to resolve the failure.  Create Azure Data Factory pipelines to process the data and manipulate and clean the data using SQL scripts.  Assist with the build out data lineage artifacts to ensure all current and future systems are properly documented.  Assist with the build out design/mapping documentation to ensure development is clear and testable for QA (quality assurance) and UAT (user acceptance testing) purposes.  Help to assess current and future data transformation needs to recommend, develop, and train new data integration tool technologies.  Build ETL jobs for the new Snowflake data platform initiative to help centralize all data for operational and analytical reporting needs.  Assist with discovering efficiencies with shared data processes and batch schedules to help ensure no redundancy and smooth operations.  Assist with the data quality analyst to implement checks and balances across all jobs to ensure data quality throughout the entire environment for current and future batch jobs.  Use of Azure Data Factory, Apache Kafka, SQL, Python, Scala, Hadoop, Spark, Snowflake, Salesforce, Azure, AWS, and SQL Server.


Requirements

Bachelor’s degree or foreign academic equivalent in Computer Science, Computer Engineering, Data Analytics, Information Systems, or a related field.  Plus 1 year of experience in the job offered or a related occupation including Programmer Analyst or related experience.  Position requires 1 year of experience with ETL, Python, and SQL.  40hrs/week.


Benefits

Application Instructions:  To apply, please MAIL resume to the following address, ensuring to indicate the position reference code (Ref# DE68SRM) for which you are applying.  Mail to: AssistRx, LLC, Attn: Lisa Beard, Sr. Human Resources Business Partner, 495 N. Keller Rd., Suite 100, Maitland, FL  32751.

Similar Jobs

Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
118K-179K Annually
Senior level
118K-179K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate production AI and data systems for marketing: LLM/agent orchestration, retrieval pipelines, data pipelines, CDP and warehouse architecture, automation of manual workflows, data quality and reliability, stakeholder collaboration, and mentoring. Ship production-grade Python and SQL solutions and evaluate/monitor AI systems.
Top Skills: Agent OrchestrationAPIsBigQueryClaude CodeCursorCustomer Data Platform (Cdp)Data WarehouseDatabricksDbtEltETLHightouchLlmsMarketing AutomationPythonRetrieval PipelinesSalesforceSegmentSnowflakeSQLWeb Analytics
5 Days Ago
In-Office or Remote
73K-130K Annually
Mid level
73K-130K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and maintain scalable batch and real-time data pipelines on an Azure data platform using Azure Data Factory, Databricks, and PySpark. Implement Medallion architecture (Bronze/Silver/Gold), enforce data quality and governance, optimize Spark jobs and cluster usage, monitor pipeline health, and collaborate with data science and reporting teams. Document lineage, handle CDC/incremental loads, and integrate streaming ingestion and validation checks to ensure reliable analytics and ML-ready datasets.
Top Skills: SparkAzureAzure Data FactoryAzure Event HubsChange Data Capture (Cdc)DatabricksDelta LakeKafkaParquetPysparkPythonSpark Structured StreamingSQL
8 Days Ago
In-Office or Remote
124K-207K Annually
Senior level
124K-207K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Design, build, and maintain scalable data architecture and pipelines to support medical analytics and predictive models. Partner with product and data leads, prepare datasets, automate data delivery, mentor colleagues on standards, and evaluate tools to improve analytics productivity and stability.
Top Skills: Adobe AnalyticsAdobe LaunchApache AirflowBrighttagCharles ProxyCSSData WarehousingDatabricksDataiku (Dss Data Science Studio)DrupalDynamic Tag ManagerEnsightenGoogle AnalyticsGoogle Tag ManagerHTMLInfrastructure As CodeJavaScriptJqueryKafkaMatomo/PiwikOmniture SitecatalystPiwik ProSignalTealium Iq

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account