Data Engineer Position Available In Escambia, Florida

Salary Not Available
Position range in Pensacola-Ferry Pass-Brent, FL Metropolitan Statistical Area $59k – $103k Per Year Data Engineer
Technogen, Inc.

Occupation:

Architects, Except Landscape and Naval

Location:

Pensacola, FL – 32534
Positions available: 1
Job #: jo_1890630554

Source:

Dice.com

Posted:

5/21/2025

Web Site:

www.dice.com

Job Type:

Contract, Full Time (30 Hours or More) Job Requirements and Properties Help for Job Requirements and Properties. Opens a new window. Job Requirements and Properties Help for Job Requirements and Properties. Opens a new window.
Work Onsite
Full Time Schedule
Full Time Job Type
Contract
Job Description Help for Partial Job Description. Opens a new window. Job Description Help for Partial Job Description. Opens a new window.
Job Details TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.

TECHNOGEN

is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.

Description:

Develop strategies for data acquisition, data pipelines, and database implementation. Responsible for designing, building, integrating data from various resources, and managing big data. Develop and write complex queries, while ensuring they are easily accessible, work smoothly, with the goal of optimizing the performance of Client’s big data ecosystem within CI/CD pipelines. Recognized as an expert with a specialized depth and/or breadth of expertise in discipline. Solves highly complex problems; takes a broad perspective to identify solutions. Leads functional projects. Works independently

Key Responsibilities:

Provide Data Intelligence and Data Warehousing (DW) solutions and support by leveraging project standards and leading data platforms Build and maintain Azure data pipelines using DevSecOps process Define and build data integration processes to be used across the organization Build conceptual and logical data models for stakeholders and management Work directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectives Prepare advanced project implementation plans which highlight major milestones and deliverables, leveraging standard methods and work planning tools Document existing and new processes to develop and maintain technical and non-technical reference materials. Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies Coach and mentor project team members in carrying out analytics project implementation activities Communicate and own the process of manipulating and merging large datasets Perform other duties as assigned Qualifications and Education Requirements Master’s degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience Expert skill in Azure Data Factory, Databricks Advanced skill in Azure SQL, Azure Data Lake, and Azure App Service, Python, T-SQL Experienced in sourcing, maintaining, and updating data in On-Prem and Cloud environments Knowledge of and the ability to perform basic statistical analysis Thorough understanding of SQL Experienced in the use of ETL tools and techniques Experience Designing and building of data pipelines using API ingestion and Streaming ingestion methods. Ability to understand the business problem and determine what aspects of it require optimization; articulate those aspects in a clear and concise manner Ability to understand other projects or functional areas in order to consolidate analytical needs and processes Demonstrates change management and/or excellent communication skills Understands data warehousing, data cleaning, data pipelines and other analytical techniques required for data usage Demonstrates deep understanding of multiple data related concepts Understands the concepts and application of data mapping and building requirements Understands data models, large datasets, business/technical requirements, BI tools, data warehousing, statistical programming languages and libraries Experience using GIT & Source Control Skilled in managing the process between updating and maintaining data source systems and implementing data related requirements Ramu Brahmarowthu
Talent Workforce specialist 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. Additional Information Help for Additional Information. Opens a new window. Additional Information Help for Additional Information. Opens a new window.
Skills

DATA WAREHOUSING ETL API GIT PYTHON T-SQL

Azure Data Lake Azure SQL Azure Data Factory DataBricks Help for Employer Information. Opens a new window.