Data Engineer II (Hybrid)

SimplePractice; Ciudad de México; Híbrido; MXN 1,432,000 - 1,791,000; Jornada completa

Descripción de la vacante

A healthcare technology company is seeking a Data Engineer II to enhance its data engineering capabilities. This role involves managing data ingestion processes, collaborating with product teams, and implementing data quality standards. The ideal candidate has at least 4 years of experience in database technologies, strong SQL skills, and expertise in cloud infrastructure, preferably AWS. The position offers competitive benefits, a hybrid work schedule, and opportunities for personal growth.

Servicios

Privatized Medical, Dental & Vision Coverage

Flexible Time Off

Work From Home stipend

Monthly Meal Reimbursement

Holiday Bonus

Hybrid Work Schedule

Formación

• 4 years of progressive professional experience preferred.
• Expert in relational technology and data modeling.
• Experience with cloud-based infrastructure particularly AWS.

Responsabilidades

• Build scalable systems that help unlock the value of data.
• Manage the complete data stack from ingestion through consumption.
• Define data engineering best practices.

Conocimientos

SQL

Data modeling

ETL tools

Python

Kafka

AWS

Data transformations

Educación

BS/MS degree in Engineering, Mathematics, Physics, or Computer Science

Herramientas

MySQL

Postgres

Airflow

Looker

Descripción del empleo

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.

At SimplePractice we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care our suite of innovative solutions work together to reduce administrative burden empowering solo and small group practitioners to thrive alongside their clients.

Recognized by MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and the Digital Health Awards in 2023 SimplePractice is proud to pave the future of health tech.

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 everyones 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 multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

The Role

SimplePractice is seeking a Data Engineer II to take the companys data engineering to the next level of our data-driven / data-focused journey.

Our Data and Analytics Team is responsible for the data across the enterprise organized in three functions. Information delivery is provided by our Data & Analytics group the analytics itself is enabled by Data Engineering and Infrastructure groups.

The information from our Analytics Team is paramount to our companys successful operation and growth. Data Engineering and Architecture covers data ingestion and transformations across our analytics platform as well as the overall enterprise data architecture and our products database backend architecture and data access layer.

This role will be leasing our data ingestion efforts within the Data Engineering & Architecture team. All of which enables us to affect data sanctity making it usable for decision making. Data Governance includes data stewardship lineage quality and security. We employ best practices in delivering each of these functions to the utmost benefit of our organization. As the data vision gets implemented and the company grows there are many opportunities for personal growth.

Responsibilities

• Partner with analysts 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
• Consult with our Product and Engineering Teams in the creation of new data in the production environment
• Create company wide alignment through standardized metrics across the company
• Promote importance of dimensional data models in communicating across the organization
• Manage the complete data stack from ingestion through data consumption
• Connect our teams and their workflows to centralized and secure databases
• Build tools to increase transparency in reporting company wide business outcomes
• Define and promote data engineering best practices
• Design scalable 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
• Excellent problem-solving & critical-thinking skills to meet complex data challenges and requirements in a fast paced rapidly changing environment

Desired Skills & Experience

Along with the responsibilities and competencies specified above we are looking for an individual who possesses a positive action-oriented attitude and understands the importance of taking initiative within a team environment.

• 4 years of progressive professional experience preferred
• Top-notch SQL statistical / window functions complex data types
• Expert in relational technology data modeling and in dimensional modeling
• Expert in at least two database engines preferably MySQL Snowflake or Postgres
• Metadata-driven and database-centric concepts
• Database performance
• Data transformations
• Expert at ETL and ETL tools including Airflow / Prefect DBT Airbyte Fivetran
• ELT and schema-on-read concepts
• Data ingestion tools such as Kafka DMS Singer
• At least one programming language preferably Python
• Unix / Linux scripting such as bash
• Experience with APIs such as via curl
• Experience with achieving performance through parallelism
• DAGs
• Experience with cloud-based infrastructure particularly AWS
• Cloud storage S3
• Data storage formats such as Parquet ORC
• Experience with external tables
• Unstructured and semi-structured data types JSON
• Data analytics
• Experience with at least one visualization tool preferably Looker Tableau Sisense
• Excellent communication skills
• BS / MS degree in Engineering Mathematics Physics Computer Science or equivalent experience

Bonus Points

• Real-time ETL - Kafka streaming AWS Kinesis
• AWS DevOps - Terraform Kubernetes Docker
• Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
• Project & Change Management skills especially experience working in an Agile (SCRUM Kanban) environment / team focusing on sprint by sprint deliveries

Benefits

We offer a competitive benefits program including :

• Privatized Medical Dental & Vision Coverage
• Work From Home stipend
• Flexible Time Off (FTO) wellbeing days paid holidays and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (SimplePractice or us or we or our). Please note that when you submit your resume or application materials to us for employment purposes you are subject to the SimplePractice California Job Applicant Privacy Notice.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type

Full Time

Experience

years

Vacancy

1