Data Engineer - PP Copy Mandatory

New York, NY, US • Posted 12 hours ago • Updated 12 hours ago

Full Time

No Travel Required

On-site

$60 - $78/hr

Bits & Bytes Technology Solutions

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Computer Science
Data Quality
Data Governance
Database
Data Engineering
Data Visualization
Data Warehouse
Data Profiling
Database Administration
Finance
Master Data Management
Meta-data Management
Microsoft Excel
Financial Reporting
Informatica
Microsoft Power BI
Python
R
RDBMS
Management
Mobile Device Management

Summary

Client & Project Details

Agency Name: NY DFS
Request Date: 3/24/2026
Position Job Title: IT Specialist
Position Skill Level: Expert (84+ Months)
Engagement Length: 30 Months
Target Start Date: 5/5/2026
Work Location: 1 State Street, New York, NY 10004
Telecommuting: Up to 50% at the discretion of the hiring manager
Interview Format: Webcasting (Candidate required to be on camera)
Short Description: The agency is seeking a technical expert to build data workflows, validate financial data, and enforce data quality. The candidate will engineer data solutions, automate manual reporting, and query complex datasets for the Insurance and Technology divisions.

Requested Qualifications

84 Months of experience in Data Engineering, Architecture, Data Governance, or Data Quality Assurance for Financial Reporting.
84 Months of Experience in SQL and Relational Database Management Systems (RDBMS), including querying complex datasets.
84 Months of Experience in Compiling, Computing, and Validating Financial Data using advanced statistical formulas and model calculations.
48 Months of Experience in Building and Maintaining Data Workflows and data pipelines using database tools, specifically translating business requirements into technical specifications.
36 Months of Experience in Automating Data Ingestion and Reporting using programming languages such as Python, R, or Excel VBA.
36 Months of Experience in Data Visualization utilizing PowerBI or Tableau.
24 Months of Experience in cloud-based data platforms, preferably Snowflake.
12 Months of Experience with MDM and Cataloging Platforms (e.g., Informatica, Collibra, Alation) to execute data profiling and manage metadata/lineage.
Bachelor''''s Degree in a quantitative discipline (Computer Science, Statistics, Finance, or related field).

Day-to-Day Tasks

Translate complex business requirements from Insurance stakeholders into technical specifications for data pipelines and automated workflows.
Build and maintain data warehousing workflows and data pipelines using SQL and cloud database tools.
Compile, compute, and validate insurance financial data using advanced statistical formulas and model calculations.
Elaborate high-level policies and business needs into technical requirements (user stories/system use cases) to guide platform implementation.
Execute data profiling, build exception reports, and manage metadata/lineage using governance platforms.
Use technical expertise (Python/VBA/R) to automate data ingestion and reporting processes.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10324752
Position Id: 14691
Posted 12 hours ago

Company Info

About Bits & Bytes Technology Solutions

At Bits & Bytes, we believe IT and ITES to be a conduit for a better business environment, both for humanity at a macro level and financial sheets at a micro level.

Based on confidence and trust, we've built valuable long-term relationships with our customers. Our demonstrated performance in technology fields has fostered these relationships, as has our industry specific expertise, product knowledge, and proven consulting and project management methodologies for every consumer and engagement.

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