Data Engineering & Analytics Lead at SearchStars, Inc.

This position is responsible for overseeing the design, development, and maintenance of our data infrastructure and analytics solutions and will collaborate with cross-functional teams to drive the strategic use of data across our organization. If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.

Responsibilities:

· Collaborate with the CIO and Director of Technology to develop a data vision that aligns with the organization's goals. Set department objectives and execute the data roadmap.

· Lead the development, implementation, and maintenance of a scalable, reliable, and high-performing data infrastructure, including an enterprise data platform.

· Develop and implement efficient and scalable data pipelines, ETL processes, and integration workflows, to efficiently collect, store, transform, and normalize data.

· Manage a team of data engineers and analysts, providing technical guidance, mentorship, and performance feedback.

Requirements:

· Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

· Minimum of 5 years' experience in data engineering, data architecture, or related roles, preferably in healthcare.

· Experience in implementing data quality management processes, data governance, cataloging, and master data management principles.

· Familiarity with health information management principles, healthcare data standards (e.g., HL7, FHIR, etc.), and regulations (e.g., HIPAA), is a plus

· Proficiency in SQL and experience with data modeling, database design, and optimization.

· Proficiency in semantic mapping techniques to harmonize and integrate data from disparate systems into a common language or format.

· Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud.

· Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery).

· Familiarity with data security principles and practices

· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python).

Competitive salary and benefits including:

· Paid Time Off, Medical, Dental and Vision plans, Retirement plans

· Public Service Loan Forgiveness (PSLF)

Full time, permanent position, direct hire only. Local candidates only.

‍