Senior Data Engineer
4 weeks ago
About the Role:
We are seeking a highly skilled Senior Data Engineer to join our team at Qualitative Financials. As a Senior Data Engineer, you will be responsible for designing and delivering data lake, data warehouses, and reporting platforms. You will work closely with our architecture, security, and risk teams to build architecturally compliant healthcare analytics platform solutions and implementation.
Key Responsibilities:
* Collaborate with architecture, security, and risk to build architecturally compliant healthcare analytics platform solutions and implementation.
* Partner with platform squads to define data engineering standards, standard methodologies, and tooling.
* Create data tools for analytics and data scientist teams in building and optimizing healthcare product and service offerings.
* Provide engineering thought leadership to advance healthcare benefits and management outcomes and facilitate a cloud-first approach.
* Collaborate with other team members and stakeholders to analyze and tackle problems.
* Stay ahead of the curve by aligning data engineering strategy, architecture, and security with chapters and COEs.
Requirements:
* B.S. degree in math, statistics, computer science, or equivalent technical field.
* 6+ years of experience in designing and delivering data lake, data warehouses, and reporting platforms.
* Strong database knowledge and proven experience with data analysis as well as working familiarity with a variety of databases.
* Strong analytic skills related to working with unstructured datasets.
* Fluent in SQL, Python, and at least one analytic tool such as OBIEE, Power BI, or Tableau is required.
* Solid experience with cloud data warehouse platforms such as Snowflake, Redshift, BigQuery, Synapse, Databricks, etc.
* Solid experience with Data warehousing, Extract, Transform & Load development is required.
* Data Modeling skills and experience with relational and dimension models is required.
* Experience with Cloud technologies such as AWS or Azure.
* Experience in DevSecOps standard and tools like Jenkins Core and GitHub.
* Experience with API architecture design and development.
* Solid experience working in a reciprocal, team-based environment with a constant focus on learning, mentoring, and encouraging others.
* Proven understanding of computer science fundamentals, data structures, and algorithms to ensure alignment to data engineering methodologies.
* Experience building data pipelines and architectures and optimizing data sets.
* Experience of manipulating, processing, and extracting value from multiple large datasets.
* Proven understanding of modern data engineering principles.
* Effective communication and influencing skills to integrate into an inclusive culture.
* Enthusiastic desire to learn new skills and emerging technologies/industry trends quickly.
What We Offer:
* Collaborative and fast-paced environment.
* Opportunities for growth and professional development.
* Competitive salary and benefits package.
How to Apply:
If you are a motivated and experienced data engineer looking for a new challenge, please submit your resume and cover letter for consideration.
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