Data Engineer

Flybridge Staffing

Town of Florida (NY)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Vision insurance
401(k)
Medical insurance

Job summary

A staffing agency is seeking a skilled Data Engineer for a hybrid role in the Town of Florida. Candidates should hold a BA degree and have over 5 years of experience in data engineering, particularly with SQL Server and ETL processes. The position involves building and maintaining data pipelines while collaborating with various stakeholders. Competitive benefits include medical and vision insurance, as well as a 401(k) plan.

Qualifications

  • 5+ years of Data Engineering experience.
  • Strong experience with SQL Server and ETL processes.
  • Knowledge of design documentation such as ERDs.

Responsibilities

  • Collaborate with various stakeholders to build data pipelines.
  • Ensure data pipelines meet performance and scaling best practices.
  • Produce design and operational documentation.

Skills

Data Engineering
ETL data pipelines
SQL Server 2017+
Python
PowerShell
Agile methodology

Education

BA degree

Tools

SQL Server
SSMS
GitHub
Azure DevOps
Snowflake
PostGreSQL

Job description

Director of Client Services/Executive Business Development Manager

Flybridge Staffing is currently searching for a Data Engineer for a client located in the Palm Beach Gardens area. This is a direct-hire position that will work off a hybrid schedule of 2 days remote. This person will design systems that supply high-performance datasets for advanced analytics.

Experience:

  • BA degree and 5+ years of Data Engineering experience
  • Strong experience building ETL data pipelines for on-premises SQL Server 2017 or newer
  • Deep understanding of the development of data pipelines with either SSIS or Python
  • Broad experience with SQL Server, including Columnstore, etc.
  • Extensive experience using SSMS and T‑SQL to create and maintain SQL Server tables, views, functions, stored procedures, and user‑defined table types.
  • Experience with data modeling indexes, Temporal tables, CLR, and Service Broker.
  • Experience in partitioning tables and indexes, and performance improvement with Query Analyzer
  • Experience writing C#, PowerShell, and Python.
  • Experience with source control integration with GitHub, BitBucket, and Azure DevOps.
  • Experience working in an Agile and Kanban SDLC.
  • Experience with cloud‑based data management solutions such as Snowflake, Redshift.
  • Experience with Python programming is a plus. Libraries such as Pandas, Numpy, csv, Traceback, JSON, PyODBC, Math‑Are nice to have.
  • Experience writing design documentation such as ERDs, Data Flow Diagrams, and Process Flow Diagrams.
  • Experience with open‑source database engines such as Clickhouse, ArcticDB, and PostGreSQL is a plus.

Responsibilities:

  • Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Analysts, QA Analysts, DBAs, and Data Engineers.
  • Build and maintain data pipelines based on functional and non‑functional requirements.
  • Proactively seek out information and overcome obstacles to deliver projects efficiently.
  • Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability.
  • Ensure that data pipelines are kept simple and not overly engineered.
  • Produce and maintain design and operational documentation.
  • Analyze complex data problems and engineer elegant solutions.

****NO SPONSORSHIP AVAILABLE**** US Citizen, GC, EAD only please. If your background aligns with the above details and you would like to learn more, please submit your resume to jobs@flybridgestaffing.com or on our website, www.flybridgestaffing.com and one of our recruiters will be in touch with you ASAP.

Job Details
  • Seniority level: Mid‑Senior level
  • Employment type: Full‑time
  • Job function: Information Technology and Finance
  • Industries: Staffing and Recruiting and Financial Services
Benefits
  • Vision insurance
  • 401(k)
  • Medical insurance
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