Contexture ยท 10 hours ago
Data Engineer
Multiple Bases (Phoenix, Denver, or Grand Junction), Arizona, United States
Full-time
Hybrid
Mid Level
$7,599/mo - $8,750/mo
4+ years expContexture is a company that focuses on data operations and engineering, and they are seeking a Data Engineer to derive business value from enterprise data. This role involves implementing technical specifications for data storage, processing, and transformation while collaborating with various teams to enhance data service capabilities.
Health CareInformation ServicesInformation TechnologyNon Profit
Responsibilities
Develop, implement, and maintain enterprise data management solutions to enable organizational business intelligence, reporting, visualization, and analysis
Assist with the development, implementation and maintenance of an overall organizational data strategy that is in line with business processes
Design and build data processing flows to extract data from various sources, such as databases, API endpoints, and flat files
Load data into data storage systems, specifically Microsoft SQL Server, MongoDB, and Snowflake
Transform data using industry-standard techniques such as standardization, normalization, de-duplication, filtering, projection, and aggregation
Build and maintain data processing environments, including hardware and software infrastructure. Working knowledge of data flow orchestration tools such as Prefect and Airflow is preferred
Collaborate with data producers, consumers, and subject matter experts to ensure smooth dissemination and flow of data within the organization
Performs other related duties as assigned
Qualification
Required
Minimum of 4+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 4+ years working with relational databases, 3+ years working with analytical data workloads, and 2+ years working with batch data processing technologies
Bachelor's Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc
Demonstrated experience with relational and non-relational data storage models, schemas, and structures used in data lakes and warehouses for big data, business intelligence, reporting, visualization, and analytics
Hands-on experience with extract, transform, load (ETL) process design, data lifecycle management, metadata management, and data visualization/report generation
Practical experience with industry-accepted standards, best practices, and principles for implementing a well-designed enterprise data architecture
Data processing experience in a production environment with terabyte-sized datasets that are both structured and unstructured data
Required Languages: Python and SQL
Required Libraries: PyData stack, Dask, and Prefect
Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake
Leveraging data partitioning, parallelization, and data flow optimization principles
Implementing data sterilization, normalization, and standardization processes
Orchestrating fault tolerant/redundant data processing flows
SQL query planning and optimization for incremental and historical workloads
File manipulation across varied file types, encodings, formats, and standards
Secure Software Development Lifecycle (SSDLC), version control and release management
Knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc
Knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc
Strong understanding of project management disciplines such as Agile and Waterfall
Ability to translate technical requirements into actionable tasks for execution
Ability to work in a fast-paced and rapidly changing environment while consistently meeting strict service level agreement performance requirements
Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships
Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint)
Preferred
Working knowledge of data flow orchestration tools such as Prefect and Airflow
Benefits
Comprehensive benefits package
Company
Contexture
Contexture is a health information technology organization that provides technical support to advance health through information sharing.
201-500 employees
H1B Sponsorship
Contexture has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (1)
Funding
Current Stage
Growth StageLeadership Team
Melissa Kotrys
Chief Executive Officer
Recent News
Company data provided by crunchbase