Remote Senior Data Engineer

SENIORDATA ENGINEER ​ JobCode: SRDATENG ​ ReportsTo: ​Director, DataOperations & Engineering ​ BaseLocation: AZ or CO ​ WorkStatus: ​ Virtual Office ​ Minimum Starting MonthlyRange: $8,500 ​ Hiring Range (Monthly Pay): $8,500- $9,583 ​ Full-time / Part-time: Full-time ​ Exempt / Non-Exempt: ​ Exempt ​ RiskDesignation: ​ Extremely High ​ Summary: TheSeniorData Engineer will work as part of the Data Acquisition, Transformation,and Analysis team toderive business value from enterprise databyimplementingenterprise data managementspecifications provided by the Data Architect and Director of DataOperations & Engineering, including datastorage,processing,transformation,ingestion, consumption,andautomation. This role will work with multiple healthcare data sources and cross-functional teams toestablishintegrated datasets across legacyand greenfielddata 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. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilitiesrequired. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential Duties and Responsibilities include the following: Develop,implement,andmaintainenterprise datamanagementsolutionsto enable organizationalbusiness intelligence, reporting, visualization,and analysis. Assistwith the development, implementation,and maintenance of an overall organizational data strategy that is in line with business processes. Design and build data processingflowsto extract data from various sources, such as databases, API endpoints, and flat files. Load data into data storage systems, specifically MicrosoftSQLServer, MongoDB, and Snowflake. Transform data using industry-standard techniques such as standardization, normalization, de-duplication,filtering, projection,and aggregation. Build andmaintaindata processing environments, including hardware and software infrastructure. Working knowledge ofdata floworchestration tools such as Prefectand Airflowispreferred. 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. Skills 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 experiencewith 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 principlesfor implementing a well-designed enterprisemanagementdata architecture. Leadership experience,including mentoring juniorandmid-level team members,guiding theirday-to-day task planning and executionwhileensuring adherence toadoptedstandards. Demonstrated ability to developmultiplesolution proposals, analyzerisks andtradeoffs between them, and communicatethose with other senior team members and colleagues. Oversight of data engineering infrastructure, in collaboration withtheinfrastructure team, including application, automation, database, and storage servers. Management of data engineering code base,establishingstandards and best practices, administering code reviews, and code repository maintenance. 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 SQL Required Libraries: PyDatastack,Dask, and Prefect Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake Leveraging data partitioning, parallelization, anddata flowoptimization principles Implementing data sterilization, normalization, and standardization processes Orchestrating fault tolerant/redundant data processing pipelines SQL query planning and optimization for incremental and historical workloads File manipulation across varied file types, encodings, formats, and standards SecureSoftware Development Lifecycle (SSDLC),versioncontrol,andreleasemanagement 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 executionand delegation to team members. 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 asabilityto effectively work in a team environment andmaintainstrong working relationships. Working knowledge of Microsoft Office 365toolset(OneDrive, Word, Excel, and PowerPoint). Education/Experience Minimum of7+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically,5+ years working with relational databases,4+ years working with analytical data workloads, and3+ yearsworking withbatch data processing technologies. Bachelor’sDegree isrequiredwith a concentration in a data-related field such asComputerScience,Informatics,Mathematics,Engineering, etc. Master’sDegree is preferred. Work Environment The 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 ​may​ require occasional availability for after-hours work, outside of regularly scheduled hours. The position​may​requireabilityto 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 tocomply withall applicable laws, regulations, organizational policies, and compliance expectations. Physical Demands The physical demands described here are representative of those necessary to perform the essential functions of the role: Frequent communication and information exchange. Regular movement within the office to access equipment and materials. Ability to remain stationary for extended periods (approximately 50% of the time). Continuous use of computers and office equipment (e.g., keyboard, monitor, printer). Frequent handling of materials up to 10lbs; occasional handling up to 30 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Note: Thisjob description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job. Benefits: Contextureprovides 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 discriminateon the basis ofage, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation. #internalonly #LI-DNI