As applicable based on functionalalignment
Direct Reports:
Position Summary
The Senior Data Developer designs, builds, and maintains scalable data pipelines and data solutions that support analytics, reporting, and business operations. The role works closely with data architects, analysts, and business stakeholders to ensure reliable, high-quality data is available for decision-making.
The role enables reliable and scalable data infrastructure, supports data-driven decision-making, improves efficiency and automation of data processes, and helps ensure high-quality, consistent data across systems.
Responsibilities
- Design, develop, and maintain ETL/ELT data pipelines for ingesting, transforming, and loading data from multiple sources.
- Develop and optimize SQL queries, stored procedures, and data transformations.
- Build and maintain data models and data structures for analytics and reporting.
- Ensure data quality, integrity, and consistency across systems.
- Integrate data from APIs, databases, and third-party systems.
- Collaborate with Business Analysts and Data Modelers to translate requirements into technical solutions.
- Support data warehousing and data lake solutions.
- Monitor and troubleshoot data workflows and performance issues.
- Maintain documentation for data processes, pipelines, and architecture.
- Participate in Agile ceremonies and support continuous improvement initiatives.
Education &Experience
- 6+ years of experience in data development or data engineering.
Must Have Skills
- Strong proficiency in SQL and relational databases such as SQL Server, Oracle, or PostgreSQL.
- Experience with ETL/ELT tools such as Informatica, SSIS, Talend, dbt, or similar.
- Knowledge of data warehousing concepts and dimensional modeling.
- Experience working with large datasets and performance tuning.
- Understanding of SDLC and Agile methodologies.
Nice to Have Skills
- Familiarity with scripting languages such as Python or Shell.
- Experience with cloud platforms such as AWS, Azure, or GCP, including platforms such as Snowflake, Redshift, or BigQuery.
- Experience with API integrations and data ingestion frameworks.
- Knowledge of BI tools such as Power BI or Tableau.
- Familiarity with HL7/FHIR or other integration standards, if applicable.
- Experience working in healthcare information technology.
Licenses, Certifications & Training :
N/A
Knowledge, Skills,Abilities, Behaviors:
- Strong analytical and problem-solving skills.
- Attention to detail and data accuracy.
- Ability to work independently and in cross-functional teams.
- Effective communication and documentation skills.
- Proactive approach to identifying and resolving data issues.