Junior Data Engineer

Job Code:u00a0JRDATENGReports To:u00a0Director, Data Operations & EngineeringBase Location:u00a0AZ or COWork Status:u00a0Virtual OfficeMinimum Starting Monthly Range:u00a0$6,943Hiring Range (Monthly Pay):u00a0$6,943 - $8,083Full-time / Part-time:u00a0Full-timeExempt / Non-Exempt:u00a0ExemptRisk Designation:u00a0Extremely HighSummary:The Junior Data Engineer will work as part of the Data Management team to derive business value from enterprise data by implementing technical specifications provided by the Data Architect and Director of Data Operations & Engineering, including data storage, processing, transformation, ingestion, consumption, and automation.u00a0This role will work with multiple healthcare data sources and cross-functional teams to establish integrated datasets across legacy and greenfield data systems/platforms. You will work closely with data producers, consumers, and subject matter experts to enhance data service capabilities by implementing data architecture frameworks, standards, and principals, including modeling, metadata, security, and reference data.This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.Essential Duties and Responsibilities include the following: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.QualificationsTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.SkillsDemonstrated 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.Technical Skills and Experience:Data processing experience in a production environment with terabyte-sized datasets that are both structured and unstructured data.Required Languages: Python and SQLRequired Libraries: PyData stack, Dask, and PrefectData storage experience with Microsoft SQL Server, MongoDB, and Snowflake.Leveraging data partitioning, parallelization, and data flow optimization principles.Implementing data sterilization, normalization, and standardization processesOrchestrating fault tolerant/redundant data processing flows.SQL query planning and optimization for incremental and historical workloads. ile 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).Education/ExperienceMinimum of 2+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 2+ years working with relational databases, 1+ years working with analytical data workloads, and 1+ years working with batch data processing technologies. A Bachelor's Degree, or commensurate directly related work experience, is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.Work EnvironmentThe work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.The position mayu00a0require occasional availability for after-hours work, outside of regularly scheduled hours.The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.Physical DemandsThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The person in this position needs to frequently communicate and exchange information and move about inside the office to access file cabinets, office machinery, etc. Must be able to remain in a stationary position 50% of the time. Constantly operates a computer and other office productivity machinery, such as a keyboard, monitor, calculator, copy / scanner machine, and printer. Frequently moves office and work-related material weighing up to 10 pounds; Occasionally moves office and work-related material weighing up to 30 pounds.Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.Benefits: Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation.The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or other status protected by l

Created: 2025-09-29