Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Data Engineer II focusing on data ingestion and architecture for SimplePractice's analytics platform. Collaborating across teams to build scalable data systems and maintain data quality
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
Requirements
- 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
- 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
- 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
- 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
Benefits
- 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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.