Data Engineering & Analytics Lead Are you a skilled, experienced Data Engineering & Analytics professional seeking a leadership position in the healthcare industry? If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.

Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy. 8+ years of experience in data engineering or full-stack quantitative analytics/data science roles.

Minimum of 5 years' experience in data engineering, data architecture, or related roles, preferably in healthcare. · Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.

Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python). · Experience in implementing data quality management processes, data governance, cataloging, and master data management principles.

Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Work with an agile team to deliver and evolve data engineering & services.

Responsibilities:· Collaborate with the CIO and Director of Technology to develop a data vision that aligns with the organization's goals. · Familiarity with health information management principles, healthcare data standards (e.g., HL7, FHIR, etc.

As a Director of Data Engineering, you will be instrumental in driving innovation, ensuring data quality, and fostering collaboration across teams to harness the power of data for informed decision-making.

Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.

Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.

ResponsibilitiesYou will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.

5+ years in data engineering or software development roles, with intensive experience in designing, optimizing, and building data pipelines, data warehouses, data lakes using modern data engineering technologies such as Airflow, Airbyte, DBT, Apache Hudi, Spark, etc.

Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.

Independently utilizes engineering, construction, DEP, and other standards and practices related to hydrology, hydraulics, structural engineering, and geotechnical engineering to analyze plans submitted to the Plan Review unit.

Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.

EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP) We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events, which includes litigation, regulatory requests and internal investigations.