Senior Data Engineer

Exciting Senior Data Engineer Opportunity with Thriving HealthTech Organization!

This Jobot Job is hosted by: David DeCristofaro
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $75,000 - $115,000 per year

A bit about us:

We are an industry leader in the HealthTech space, but much more than that. We have built a customizable platform for health and wellness professionals to allow them provide the best care and treatment for their passions from start to finish. To keep it simple, our platform helps clinicians run and grow the practices with ease of service so they can concentrate on the most important thing... patients!

Why join us?

• Competitive Base Salary!
• Best in class healthcare, dental, vision, benefits across the board!
• Hybrid Remote!
• Flexible Time Off in addition to 15 paid holidays!
• Accelerated Career Growth!
• Extremely talented engineering leadership team to partner with on your path to further your career!
• Tackle challenging engineering tasks with state of the art new technology!
• Home Office and Internet Stipends!
• Catered Lunch!

Job Details

We're seeking a Senior Data Engineer to take ownership of the next evolution of our data ecosystem-from ingestion pipelines to analytics platforms. This role sits at the intersection of technology, strategy, and insight, empowering better decisions across the business through scalable data infrastructure and intuitive access to information.
The ideal candidate will build and optimize the pipelines, frameworks, and architecture that drive internal analytics, financial reporting, and product intelligence. Your work will directly influence how teams across the organization-from Product to Analytics-leverage data for performance, prediction, and growth.

Key Responsibilities

• Collaborate with Product, Analytics, and Engineering to design and implement scalable data systems that unlock value from diverse sources including databases, event streams, and external platforms
• Define and drive the technical roadmap for data engineering with both immediate and long-term scalability in mind
• Standardize metrics and data definitions to align teams across the organization
• Enable internal use cases such as financial forecasting, operational reporting, and product analytics
• Enable external data products such as dashboards, self-serve analytics, and in-product intelligence
• Manage the complete data lifecycle-from ingestion and transformation to consumption and visualization
• Build tools and frameworks that enhance transparency and trust in business performance reporting
• Deploy and maintain robust, cloud-based data infrastructure (AWS preferred)
• Establish and enforce frameworks for data quality, governance, and security
• Champion best practices in data engineering and continuous improvement

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
• 7+ years of professional experience in data or analytics engineering
• Proven ability to translate business needs into technical data solutions in fast-paced, cross-functional environments
• Expertise in relational, dimensional, and semantic data modeling
• Hands-on experience designing, implementing, and maintaining modern data warehouses (Snowflake preferred)
• Advanced SQL skills, including optimization and complex transformations
• Experience with DBT for modular, testable transformations
• Proficiency with orchestration and ingestion tools such as Airflow, Prefect, Airbyte, Fivetran, or Kafka
• Familiar with ELT, schema-on-read, and DAG design principles
• Strong experience with AWS (S3, RDS, Redshift, etc.)
• Familiarity with Terraform, Docker, and containerized workflows a plus
• Skilled in handling structured, semi-structured (JSON), and columnar data formats (Parquet, ORC)
• Experience building and supporting semantic layers for self-serve analytics
• Proficient with BI tools such as Looker, Tableau, or Sisense
• Proficient in Python and Unix/Linux scripting
• Comfortable working with APIs and automation tools (e.g., curl)

Bonus Points

• Experience with real-time streaming (Kafka, AWS Kinesis)
• Familiarity with DevOps tooling (Terraform, Kubernetes, Docker)
• Experience in Agile (Scrum or Kanban) environments with iterative sprint-based delivery
• Strong communication and change management skills in data-driven organizations

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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