Job Description

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 [email protected] or on our website, and one of our recruiters will be in touch with you ASAP.

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