Early Learning Data Engineer - Remote

The Department of Children, Youth, and Families (DCYF) was created to be a comprehensive agency exclusively dedicated to the social, emotional, and physical well-being of children, youth, and families regardless of race, ethnicity, sexual orientation, or other socioeconomic factors. We believe our workforce should reflect the communities we serve and are actively searching for candidates that reflect that diversity.

The Opportunity:

The Early Learning Data Engineer plays a vital role in integrating data from diverse sources to drive groundbreaking research, reporting, and analysis for the Fair Start for Kids Act and various Early Learning initiatives.

In this role, you'll have the exciting task of developing and maintaining efficient and reliable data integration solutions. You'll proactively monitor and troubleshoot ongoing projects, ensuring seamless operations and optimal utilization of these invaluable data sources.

If you're passionate about making a tangible impact in Early Learning and possess a knack for data engineering, this is the perfect opportunity for you. Join our dynamic team and help shape the future of early childhood education through transformative data-driven insights!

Some of what you will get to do:

• Design and develop data pipelines to collect, integrate and process data from multiple sources.
• Continuous optimization of data pipeline processing stages as the usage of the platform evolves.
• Monitoring the health of the platform to proactively identify issues/failures.
• Understand business requirements and map those to technical need.
• Design effective data models for optimal storage and retrieval.
• Implement data collection, processing, and storage processes using SQL and other programming languages.
• Develop the core platform to support the ability to pull/extract data in an ad-hoc manner.
• Evaluate requests and be able to quickly identify relevant source data/systems.
• Acquire extensive knowledge of both the source systems and the integrated data platform from a business and technical perspective.

Required Qualifications:

Bachelor's degree or higher in computer science, management, information systems or related field data from an accredited college or university whose accreditation is recognized by the U.S. Department of Education or the Council for Higher Education.

AND

At least three years of professional experience with Python, Java, Scala, or similar high-level programming language, including familiarity of working in a cloud computing environment, data modeling, relational database design and knowledge of how to access information for analytical purposes.

At least five years of information technology or software engineering experience analyzing, designing, programming, or maintaining computer systems applications and/or databases.

In addition to those required qualifications, our ideal applicant will also have some or all of the following:

• Experience with non-relational databases and big data engineering tools and architectures.
• Experience with cloud computing, specifically Microsoft Azure PaaS and SaaS services for data engineering and analysis.
• Good communication skills both orally and written. Ability to communicate from a technical and business perspective.
• Advanced knowledge of SQL Server development environment tools (SSMS, SSRS, SSIS, ANSI SOL &TSQL).
• Experience with Python, Scala, or similar high-level programming language.
• PowerShell, Bash, or similar scripting language.
• Software development methodologies and life cycles.
• Applications development and structured analysis methods; data modeling theory and methods
• Data modeling and database design.

Ready to apply?

To be considered for this position you must complete your applicant profile and attach the following to your applicant profile.

• Letter of interest describing how you meet the Required Qualifications for this position.
• Current resume detailing experience and education; specifically include all of your work experiences doing the same or similar work, especially if you reference work in these jobs in describing when/where you gained proficiency level skills.

To take advantage of Veteran's preference please attach your DD-214, member 4 long-form, or your NGB-22. Please black out your social security number prior to attaching.

Supplemental Information:

The initial screening will be based on the content and completeness of your application and the materials submitted. All information may be verified and documentation may be required. Applications with comments such as "see attachments" or "N/A" in the supplemental question responses will be considered incomplete.

This position is covered by a collective bargaining agreement.

This announcement may be used to fill multiple opportunities.

DCYF is an equal-opportunity employer and supports equity, diversity, inclusion, and respect.

Need accommodation throughout the application/interview process? Unable to apply online? Contact the Recruitment team at dcyf.jobs@dcyf.wa.gov or (360) 280-4751 or the Telecommunications Device for the Deaf at 800-833-6388.

Experiencing technical difficulties creating, accessing or completing your application? Call NEOGOV toll-free at (855)524-5627 or email support@neogov.com.

General suggestions for creating a good application packet:

• Read the job posting very carefully. Find out as much as you can about the position.
• Make sure you are very diligent in following all the application instructions. Include all requested documentation.
• Make sure your application and supplemental question responses address how you meet each of the required and desired qualifications.
• Carefully read each of the supplemental questions and respond completely to each one. Pay careful attention to each component of the question, providing examples, and thoroughly describing when and where you achieved the proficiency level, and detail the types of work you performed, the work products, etc., to demonstrate 'how'.
• Specifically, include all of your work experiences doing the same or similar work, especially if you reference work in these jobs in describing when/where you gained proficiency level skills.
• Make sure your application reflects your best writing.

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