Senior Data Engineer

extra holidays - extra parental leave
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

BS/MS in Engineering, Computer Science, Mathematics, or related field., 7+ years of experience in Data or Analytics Engineering., Strong skills in SQL, data modeling, and data warehouse design., Proficiency in Python, Unix/Linux scripting, and cloud technologies like AWS..

Key responsibilities:

  • Partner with teams to build scalable data systems from various sources.
  • Lead the technical vision and architecture for data infrastructure.
  • Support internal and external analytics and reporting needs.
  • Manage the complete data stack and promote data quality and security.

SimplePractice logo
SimplePractice Scaleup https://www.simplepractice.com/
201 - 500 Employees
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Job description

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

We are the world’s leading health practice management software. We build products that help clinicians (e.g., therapists, psychiatrists) run their private practices with ease. At the end of the day, our mission is to empower private practices to thrive.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

  • We think big
  • We take simplicity seriously
  • We come as we are
  • We act with humility
  • We are built on trust
    • Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

      Connection and collaboration are also key to our success. You will work with our talented multinational teams and have opportunities to participate in onsites in both the US and Mexico.

      The Role

      Were looking for a Senior Data Engineeer to help lead the evolution of our data stack—from pipelines to platform. In this role, youll build the infrastructure that powers everything from product intelligence to financial reporting and selfserve analytics in product

      Our customers are clinicians in small to midsized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from noshow trends to client engagement—you’ll give practitioners the tools to make smarter, faster decisions about how they manage care.

      Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a firstclass product at SimplePractice.

      Responsibilities
      • Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
      • Lead technical vision and architecture with holistic point of view on both shortterm and longterm horizons
      • Work with analytics to create company wide alignment through standardized metrics across the company
      • Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
      • Enable external use cases like customerfacing dashboard, selfserve analytics, and next best action in product
      • Manage the complete data stack from ingestion through data consumption
      • Build tools to increase transparency in reporting company wide business outcomes
      • Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
      • Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practices
        • Desired Skills & Experience

          Education & Experience

          • BSMS in Engineering, Computer Science, Mathematics, or related field
          • 7+ years in Data or Analytics Engineering
          • Strong problemsolving and communication skills; comfortable in fastpaced, crossfunctional environments
            • Data Engineering & Pipelines

              • Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
              • Expert in SQL and data modeling (relational, dimensional, semantic)
              • Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
              • Handson with DBT for modular, testable transformations
              • Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
              • Familiar with ELT, schemaonread, DAGs, and performance optimization
                • Cloud & Infrastructure

                  • Experience with AWS (S3, RDS, Redshift, etc.)
                  • Familiar with Terraform, Docker, and containerized workflows (bonus)
                  • Skilled in handling structured, semistructured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
                    • Analytics & Enablement

                      • Experience building and supporting semantic layers for selfserve analytics
                      • Proficient with BI tools like Looker, Tableau, or Sisense
                      • Comfortable standardizing metrics and enabling trusted, consistent access to data
                        • Programming & Scripting

                          • Proficient in Python and UnixLinux scripting
                          • Comfortable working with APIs (e.g., using curl)
                            • Bonus Points
                              • AWS DevOps Terraform, Kubernetes, Docker
                              • Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environmentteam focusing on sprint by sprint deliveries
                              • Realtime ETL Kafka streaming, AWS Kinesi

                                • Base Compensation Range

                                  $146,500 $179,000

                                  Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

                                  The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other jobrelated factors.

                                  Benefits

                                  We offer a competitive benefits program including:

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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