IS Data Engineer

Portland, OR, United States

Career Opportunities: IS Data Engineer (24085)

Requisition ID 24085 - Posted 02/07/2024 - CareOregon - Full Time - Permanent - Portland - Multi Location (10)

Candidates hired for remote positions must reside in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.

Position Title: IS Data Engineer

Exemption Status: Exempt

Department: Business Intelligence

Title of Manager: IS Development Manager

Supervises: N/A

Requisition #: 24085

Pay and Benefits: Estimated hiring range $120,000 - $145,200 / year, 5% bonus target, full benefits. To learn more about our benefits, please visit www.careoregon.org/about-us/careers/benefits

General Statement of Duties

The IS Data Engineer plays a pivotal role in operationalizing and advancing data and analytics for CareOregon's business initiatives. This involves building, managing and optimizing data pipelines and moving them effectively into production for data and analytics consumers. Consumers include business data analysts, data scientists and other roles that need curated data for data and analytics use cases. The IS Data Engineer ensures compliance with data governance and data security requirements while enabling faster data access, integrated data reuse and acceleration of time-to-solution for CareOregon's data and analytics initiatives.

Essential Position Functions

Create, maintain and optimize data pipelines as workloads move from development to production for specific use cases.

Manage data pipelines through stages, beginning with ingestion of data sources through integration to consumption for specific use cases.

Utilize innovative tools, techniques and architectures to partially or completely automate tasks in order to minimize manual processes, reduce the potential for error and improve productivity.

Assist with the renovation of data management infrastructure that supports automation in data integration and management.

Partner with other Information Systems teams, business data analysts and other data and analytics consumers to refine their data requirements for initiatives and consumption.

Train data and analytics consumers about data pipelines and preparation techniques to make it easier for them to integrate and consume the data they need for their own use cases.

Apply understanding of data and domains to address emerging data requirements.

Propose innovative data ingestion, preparation, integration and operationalization techniques to optimally address data requirements.

Promote CareOregon's available data and analytics capabilities and expertise to IS staff and department leaders.

Collaborate with and educate staff and leadership on how to leverage data and analytics capabilities to achieve business goals

Essential Department and Organizational Functions

Propose and implement process improvements.

Meet deadlines for completion of workload.

Maintain agreed upon work schedule.

Demonstrate cooperation and teamwork.

Provide cross-training on specific job responsibilities.

Meet identified business goals that contribute to departmental goals.

Perform other duties as needed.

Knowledge, Skills and Abilities Required

Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management

Strong ability to work with IT and business staff to integrate analytics and data science output into business processes and workflows

Strong ability to partner with data science teams to leverage data science and refine and optimize machine learning models and algorithms

Strong ability to collaborate with data governance, quality and security experts to move data pipelines into production in compliance with applicable standards and certification

In depth knowledge of commonly used database programming languages for relational databases (e.g. SQL)

In depth knowledge of commonly used cloud-based data warehouse platforms (e.g. Snowflake, Redshift, etc.)

Ability to work across multiple deployment environments including cloud, on-premises and hybrid

Ability to work with multiple operating systems and containerization platforms (e.g. Docker, Kubernetes, AWS Elastic Container Service, etc.)

Ability to develop using Microsoft Azure products (e.g. Data Factory, Functions, Databricks, Monitor, etc.)

Ability to work with large, heterogeneous datasets to build and optimize data pipelines, pipeline architectures and integrated datasets

Ability to extract business value while considering automation opportunities

Adept in the use of traditional data integration technologies including ETL/ELT, data replication/CDC and API design and access

Strong ability to work with and optimize existing ETL/ELT processes and data integration, data preparation flows and helping to move them into production

Strong ability to work with analytics tools for object-oriented/object function scripting using R, Python, Java, Scala and/or similar languages

Understanding of business intelligence solutions including working knowledge of commonly used data discovery, analytics and BI software tools for semantic layer-based data discovery (e.g. Tableau, Power BI, etc.)

Strong ability to apply Agile methodologies

Ability to apply DevOps practices and tools and DataOps principles to data pipelines to improve data flows

Knowledge of emerging data ingestion and integration technologies

Possess curiosity and desire for ongoing learning about new data initiatives and how to address them

Ability to continually learn the latest versions of development tools and software products

Excellent written and oral communication skills

Ability to successfully manage multiple tasks, concurrent high priority projects and continuous deadlines

Possess a high degree of initiative, motivation, self-discipline and good judgment

Knowledge of the basic concepts of managed care preferred

Knowledge of health insurance business entities, relationships and processes preferred

Physical Skills and Abilities

Lifting/Carrying up to 0 Pounds

Pushing/Pulling up to 0 Pounds

Pinching/Retrieving Small Objects

Crouching/Crawling

Reaching

Climbing Stairs

Repetitive Finger/Wrist/Elbow/

Shoulder/Neck Movement

0 hours/day

0 hours/day

0 hours/day

0 hours/day

0 hours/day

0 hours/day

More than 6 hours/day

Standing

Walking

Sitting

Bending

Seeing

Reading

Hearing

Speaking Clearly

0 hours/day

0 hours/day

0 hours/day

0 hours/day

More than 6 hours/day

More than 6 hours/day

3-6 hours/day

3-6 hours/day

Cognitive and Other Skills and Abilities

Ability to focus on and comprehend information, learn new skills and abilities, assess a situation and seek or determine appropriate resolution, accept managerial direction and feedback, and tolerate and manage stress.

Education and/or Experience

Required:

Minimum 5 years' experience in data management required in roles that included all or most of the following functions:

Utilization of data integration, modeling, optimization and data quality improvement processes

Design of data and information architecture that delivers large (multi-terabyte) enterprise data warehouse solutions integrating many heterogeneous data sources

Development utilizing tools such as Microsoft SQL Server, Snowflake and/or similar tools

Development using Microsoft Azure products such as Data Factory, Functions, Databricks, Monitor and/or similar products

Data warehouse technical development that encompasses the data management life cycle and establishes end-to-end data warehousing, data management and analytics architecture

Preferred:

Experience in health care or managed care

Snowflake - Knowledge or training

Exp w/ 2 or more of the following: Azure Cloud, Azure Data Factory, Azure Functions, Azure Storage Blob, Azure DevOps

Azure Certifications

Data Modeling/ Data Analysis

ETL experience

SSIS experience

ADF experience

Working Conditions

Environment: This position's primary responsibilities typically take place in the following environment(s) (check all that apply on a regular basis):

Inside/office Clinics/health facilities Member homes

Other_________________________________________

Travel: This position may include occasional required or optional travel outside of the workplace, in which the employee's personal vehicle, local transit, or other means of transportation may be used.

Equipment: General office equipment

Hazards: n/a

#LI-Remote

Candidates of color are strongly encouraged to apply. CareOregon is committed to building a linguistically and culturally diverse and inclusive work environment.

Veterans are strongly encouraged to apply.

We are an equal opportunity employer. CareOregon considers all candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or veteran status.

Visa sponsorship is not available at this time.

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