Job Title: Data Engineering Manager
Employment Type: Contract to Hire
Employment Duration: 6 months to hire
Estimated salary: $155-160,000+benefits
Notable Benefits: 10% annual bonus, medical benefits for self and dependents, 401K match, 17 days’ vacation, 12 holidays
Work Authorization Requirements: Please note that this position is not eligible for candidates who require current or future visa sponsorship.
We are seeking an experienced Data Engineering Manager with expertise and vision for Enterprise Data Warehousing across teams internal and external. You will be responsible for leading, developing, and supporting the enterprise Data Engineering team, which includes building processes and pipelines to feed data into the warehouse, identifying and integrating new data sources, ensuring data quality and integrity, and enforcing data governance rules. You will identify emerging business needs and translate them into data deliverables, while also developing strategy, direction, and a roadmap for all data engineering disciplines.
Success factors:
- You are a relentless problem solver curious about data technology, excited to collaborate cross-functionally within the organization, and possesses the ability to lead the design of innovative data solutions.
- Demonstrate a proven track record of navigating and implementing industry-standard practices within a large-scale, high-volume cloud data warehouse environment integrating data from heterogeneous sources while applying data transformation and enrichment routines.
- Build successful cross-functional relationships with Product Managers, Business Intelligence Engineers, and Software Engineers to understand data needs and deliver on those requirements.
- Possess bachelor’s degree in computer science, Engineering, Math, IT or related discipline or equivalent experience.
- 7+ years of professional experience in building data pipelines, platforms, architecture, structures, and data modeling.
- 5+ years experience in offering technical leadership and guiding teams for data engineering best practices.
Skills needed:
- Proficiency in enterprise cloud platforms, preferably Microsoft Azure.
- Proficiency in enterprise cloud databases, such as Snowflake on Azure.
- Experience with cloud-based analytics platforms, such as Databricks and Synapse.
- Experience in architectural leadership on data pipeline design and development.
- Experience in project management, product development, and process improvement.
- Strong experience in building ETL data pipelines and conducting analysis using Python, SQL, and PySpark.
- Preferred experience with data and workflow management tools.
- Advanced working knowledge of SQL and experience working with relational databases.
- Strong analytic skills for working with both unstructured and structured datasets.
- Knowledge of healthcare business processes and healthcare data is preferred.
Please Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
To perform this job successfully, an individual must be able to perform each essential function satisfactorily. Please note this job description is not designed to cover or contain a comprehensive list of duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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