Data Engineer
Posted 1 day ago by 1765259520
Negotiable
Outside
Remote
USA
Summary: The Data Engineer role at Health-E Commerce involves designing, developing, and optimizing data pipelines and infrastructure to support analytics, reporting, and machine learning initiatives. The position requires collaboration with various teams to ensure data systems are scalable and aligned with business goals. The engineer will also be responsible for data quality and governance while driving innovation in data architecture. This role is pivotal in enhancing the organization's data capabilities from day one.
Key Responsibilities:
- Build and scale data engineering stack, including ETL/ELT pipelines and compute infrastructure.
- Own ingestion and integration of new data sources for analytics and reporting.
- Partner with Analytics and Business teams to deliver a robust internal data mart.
- Collaborate with Data Science to deploy and maintain machine learning models.
- Implement and enforce data quality and governance standards.
- Drive innovation by improving data architecture and processes.
- Support strategic initiatives through data-driven insights and analysis.
Key Skills:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
- 1-4 years of experience in data engineering, software engineering, or analytics.
- Strong SQL and Python proficiency.
- Experience with cloud data platforms (e.g., Azure Synapse, Snowflake).
- Experience with analytics and BI platforms (PowerBI or similar).
- Strong background in relational databases and ETL tools.
- Proficiency with Git and agile development workflows.
- Experience with orchestration tools like Apache Airflow or Azure Data Factory.
- Ability to build processes for data transformation and workload management.
- Understanding of statistical data modeling preferred.
- Strong communication and stakeholder management skills.
- A passion for data and solving complex problems.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
JOB DESCRIPTION
- Must have Microsoft fabric, Azure Synapse, strong SQL
**** Must have Microsoft fabric, Azure Synapse, strong SQL --> Glider Assessment ***
Health-E Commerce is seeking a Data Engineer to drive the evolution of our modern data platform. As a key member of our centralized Data & Analytics team, you will oversee the design, development, and optimization of data pipelines and infrastructure that power analytics, reporting, and machine learning across the organization.
Reporting directly to the Lead of Data Engineering, you will have a direct impact on day 1 for all of our major data pipelines supporting a broad array of use cases. You ll collaborate closely with Analytics Engineers, Data Scientists, and cross-functional stakeholders in Marketing, Sales, Finance, and Product to ensure our data systems are scalable, reliable, and aligned with business goals.
Specific responsibilities:
- Build and scale our data engineering stack, including ETL/ELT pipelines, transformation workflows, and compute infrastructure across cloud platforms.
- Own the ingestion and integration of new data sources, ensuring they are modeled for downstream analytics, reporting, and machine learning use cases.
- Partner with Analytics and Business teams to define requirements and deliver a robust internal data mart that supports self-service reporting and advanced analytics.
- Collaborate with Data Science to deploy and maintain machine learning models in production, including MLOps, monitoring, and governance.
- Implement and enforce data quality, observability, and governance standards across all pipelines and data assets.
- Drive innovation and efficiency by identifying opportunities to improve data architecture, tooling, and team processes.
- Support strategic initiatives through data-driven insights, ad hoc analysis, and cross-functional collaboration
What you ll need:
- Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field.
- Minimum 1-4 years of relevant experience in data engineering, software engineering, or analytics
- Strong SQL and Python proficiency
- Experience working in cloud data platforms (e.g., Azure Synapse, Snowflake, BigQuery, Databricks, Microsoft Fabric). Azure data stack highly preferred.
- Experience with analytics and BI platforms (PowerBI or similar)
- Strong background in relational databases, ETL tools, scripting languages (Powershell or similar)
- Proficiency with Git or other collaborative development workflows (e.g., pull requests, code reviews), working in an agile development environment
- Experience with orchestration tools like Apache Airflow, Prefect, or Azure Data Factory for managing complex data workflows preferred
- Demonstrated ability to build processes that support data transformation, structures, accuracy checking, and workload management
- Understanding of statistical data modeling and supporting infrastructure preferred
- Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions.
- A passion for data, curiosity for solving complex problems, and a drive to create business impact through technology.
Experience in the e-commerce, marketing or digital health sectors is a big plus
With Regards,
Saroj Duhan | US IT Recruiter
Naztec International Group LLC.
263 N Jog Road, West Palm Beach, FL 33413