Data Engineer

Exciting 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: $55,000 - $80,000 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 are seeking a Senior Data Engineer to lead our data ingestion and transformation initiatives. You'll play a pivotal role in ensuring data quality, lineage, and governance, and in developing scalable, reliable systems that empower decision-making across the organization. As we continue to scale, this position offers significant opportunity for personal and professional growth.

Key Responsibilities

• Partner with analysts to design and implement scalable data systems integrating multiple sources (databases, event streams, marketing platforms, etc.)
• Collaborate with Product and Engineering to establish new data pipelines within production environments
• Drive company-wide alignment by standardizing metrics and data definitions
• Promote and implement dimensional data modeling best practices across teams
• Manage the complete data lifecycle-from ingestion to consumption
• Connect business units to centralized, secure, and transparent data infrastructure
• Build tools and frameworks that enhance visibility into company-wide performance metrics
• Define, document, and promote data engineering best practices
• Design scalable, cloud-based data solutions (preferably AWS)
• Establish data quality, lineage, and security frameworks to monitor enterprise-wide data health
• Solve complex data challenges with analytical rigor and innovation in a fast-paced environment

Qualifications & Experience

• 4+ years of progressive professional experience in data engineering or related roles
• Advanced SQL skills (including statistical/window functions and complex data types)
• Expertise in relational and dimensional data modeling
• Proficiency with at least two database engines (MySQL, Snowflake, PostgreSQL preferred)
• Strong understanding of metadata-driven and database-centric architectures
• Experience with ETL/ELT frameworks and tools such as Airflow, Prefect, DBT, Airbyte, or Fivetran
• Experience with data ingestion technologies (Kafka, DMS, Singer)
• Skilled in at least one programming language (Python preferred)
• Proficiency in Unix/Linux scripting (bash) and API interaction (curl)
• Familiarity with parallelized data processing and DAGs
• Experience building within cloud environments, particularly AWS (S3, Parquet, ORC, external tables, JSON handling)
• Working knowledge of BI/visualization tools (Looker, Tableau, or Sisense)
• Excellent communication, problem-solving, and critical-thinking abilities
• Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, Physics, or a related discipline

Bonus Points For

• Experience with real-time ETL (Kafka Streams, AWS Kinesis)
• Familiarity with DevOps tools (Terraform, Kubernetes, Docker)
• Understanding of enterprise architecture and dimensional modeling
• Experience in Agile (Scrum or Kanban) environments focusing on iterative sprint deliveries

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

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