Data Engineer ( remote )

Job Description

• Data Engineer will be responsible for ETL and documentation in building AssistRx data warehouse and analytics capabilities. Additionally, maintain existing systems/processes and develop new features, along with reviewing, presenting and implementing performance improvements. • Build ETL (extract, transform, and loading) jobs using Fivetran and dbt for our internal projects and for customers that use various platforms like Azure, Salesforce, and AWS technologies • Monitoring active ETL jobs in production. • 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 and UAT purposes • 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 • Assist 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. • No specific country mentioned in the job opening.

Qualifications

• 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 dbt, Azure Data Factory • Experience working in the healthcare industry with PHI/PII • Creative, 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) • Big Data stack (e.g.Snowflake(Snowpark), SPARK, MapReduce, Hadoop, Sqoop, Pig, HBase, Hive, Flume)

Benefits

• Supportive, progressive, fast-paced environment • Competitive pay structure • Matching 401(k) with immediate vesting • Medical, dental, vision, life, & short-term disability insurance