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Data Engineer II

AssistRx, LLC United States · $111K–$139K/yr

Oct 24
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

The Data Engineer II will design and implement ETL processes within Azure, Snowflake, and Salesforce environments to support client migrations. They are also responsible for documenting data flows and developing new features to enhance internal data architecture and integration systems.

What they look for

Data architecture ETL Azure Dbt Snowflake Salesforce SQL Data modeling Data warehousing Business intelligence MDM Data lakes Healthcare industry PHI PII Python

Requirements

Candidates must hold a Bachelor's degree in a relevant technical field and possess at least 6 years of experience in data engineering or analytics. Strong proficiency in SQL, ETL tools, and experience with large-scale data warehouses and healthcare data regulations are required.

Full description

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.

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