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Senior Data Engineer
Employer Direct HealthcareSenior Data Engineer building enterprise data solutions at Lantern. Collaborating with teams to deliver data solutions that meet user needs.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformMS SQL ServerPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Design and implement robust, scalable, and high-performance data pipelines
- Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
- Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
- Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
- Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
- Experience supporting production jobs and mitigate issues in a timely manner.
- Write unit, integration, and functional tests for new features.
- Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
- Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.
Requirements
What you’ll need- 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
- 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
- Strong experience with Python, with ability to discuss design patterns; strong SQL skills.
- Expert in Microsoft SQL Server (preferred) or other relational databases.
- Expertise with SQL, stored procedures, triggers, and performance tuning.
- Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
- Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
- Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
- Experience in building data lakes to support high speed querying by the end users.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
- Experience or knowledge of creating RESTful API’s is a plus.
- Experience building Dashboards and visualizations using Power BI or other tools is a plus.
Benefits
Comp & perks- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short & Long Term Disability
- Life Insurance
- 401k with company match
- Paid Time Off
- Paid Parental Leave
ATS Keywords
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Hard Skills & Tools
data pipelinesdata ingestiondata transformationdata qualityPythonSQLMicrosoft SQL ServerSparkTerraformRESTful APIs
Soft Skills
communicationcollaborationproblem-solvingcontinuous learninginnovation