Why This Role Stands Out
This hybrid Data Engineer role offers a competitive hourly rate and the chance to build impactful data solutions for a significant organization, perfect for experienced professionals seeking to leverage their skills in data architecture, governance, and cloud platforms. You'll thrive by contributing to automated data ingestion and financial data validation, enhancing your expertise in a long-term, growth-oriented position. Apply today to join KayDev Technology and make a significant contribution!
Quick Overview
Job Description
Data Engineer
Job ID: HBITS-08-14978
Department: OCFS
Location: New York, NY
Duration: 30 months
Pay Rate – 1099: $67.43/hour
Pay Rate – W-2: $57.43/hour
Position Overview
KayDev Technology is seeking an experienced Data Engineer for a long-term opportunity with the State of New York. The position focuses on data engineering, architecture, governance, financial-data validation, automated data ingestion, reporting, visualization, and cloud-based data platforms.
Required Qualifications
84 months of experience in data engineering, architecture, data governance, or data quality assurance for financial reporting.
84 months of experience with SQL and relational database management systems, including querying complex datasets.
84 months of experience compiling, computing, and validating financial data using advanced statistical formulas and model calculations.
48 months of experience building and maintaining data workflows and data pipelines using database tools, specifically translating business requirements into technical specifications.
36 months of experience automating data ingestion and reporting using programming languages such as Python, R, or Excel VBA.
36 months of experience with data visualization using business-intelligence software, preferably Tableau.
24 months of experience with cloud-based data platforms, preferably Snowflake.
Bachelor’s degree in a quantitative discipline, such as computer science, statistics, finance, or a related field.
Preferred Technical Skills / Keywords
Data engineering, data architecture, data governance, data quality assurance, financial reporting, SQL, RDBMS, complex datasets, financial-data validation, advanced statistical formulas, model calculations, data workflows, data pipelines, technical specifications, Python, R, Excel VBA, business intelligence, Tableau, cloud-based data platforms, and Snowflake.
Candidate Submission
Interested candidates should submit an updated resume referencing HBITS-08-14978. The resume should clearly identify the applicable projects, responsibilities, technologies, and months of experience for each required qualification.
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