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Data Engineer (Senior)

Cintel · Huntsville, Alabama, 35898, United States · Active · BambooHR

Job facts

FieldValue
CompanyCintel
TitleData Engineer (Senior)
Normalized title-
Department / teamSoftware & Cyber Solutions
LocationHuntsville, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2025-04-15 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Cintel.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Huntsville.Open
Department jobsActive postings in Software & Cyber Solutions.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCintel
Sourcef793efb3-be59-474f-b540-ba463e8cc79a
ATS providerBambooHR

Description

Job Title: Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview: We are seeking a highly experienced Senior Data Engineer to lead data engineering efforts for the development and deployment of an advanced visual analytic application. This role will focus on building and optimizing large-scale data systems, integrating structured and semi-structured data streams, and enabling advanced data visualization and analytics through desktop and web applications. The ideal candidate will possess deep expertise in enterprise database design, high-performance computing, and the use of COTS, GOTS, and open-source tools to deliver actionable intelligence to mission-critical operations. An active Top Secret clearance is required. Key Responsibilities: Lead the development of advanced data analytics capabilities integrated into visual analytic software for both desktop and web environments. Engineer and optimize large-scale relational databases to support high-throughput data ingestion and real-time analytics. Facilitate bulk analysis of relational and semi-structured data using advanced visualization tools, high-performance computing techniques, and specified technologies (COTS, GOTS, and open-source). Design and implement data pipelines and architectures that extract, transform, and load (ETL) data from multiple sources into centralized, accessible formats. Establish data strategies for enterprise-scale systems, setting best practices and standards for performance, programming, and security. Integrate new applications and analytics systems with existing data warehouse architectures. Continuously evaluate and improve system performance and functionality to meet mission objectives. Develop and maintain data models, metadata repositories, and documentation to ensure transparency and maintainability. Collaborate with software developers, data scientists, and intelligence analysts to deliver scalable and secure analytic solutions. Translate complex business and technical requirements into robust data systems and workflows. Required Qualifications: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field. Minimum of 8 years of experience in data engineering, database development, or related roles. Active Top Secret clearance required. Strong expertise in designing and building large-scale relational databases (e.g., PostgreSQL, Oracle, SQL Server). Proficiency in developing and maintaining ETL pipelines and working with structured/semi-structured data (e.g., JSON, XML, CSV). Experience with enterprise data warehouse architectures and integration of new systems into existing environments. Familiarity with big data frameworks (e.g., Hadoop, Spark), data modeling, and performance tuning. Hands-on experience with advanced data visualization and analytics platforms. Solid understanding of data security best practices, governance, and compliance in secure environments. Excellent communication, analytical, and problem-solving skills. Preferred Qualifications: Experience in defense, intelligence, or government data environments. Familiarity with geospatial or temporal data visualization tools. Knowledge of cloud-based data services and platforms (e.g., AWS, Azure, GCP). Proficiency in programming/scripting languages such as Python, Scala, or Java. Experience with containerized environments and DevSecOps practices. ABOUT CINTEL, INC: Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support. We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs. It is the policy of Cintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. Cintel, Inc. expressly prohibits any form of unlawful employee harassment or discrimination based on any of the characteristics mentioned above. Improper interference with the ability of other employees to perform their expected job duties is not tolerated.

Full job record

Job ID48d6a8440d6660269f323fb3d256b737c5194b8f
Org IDdf05f55c-c971-4a33-896f-8fffc8201f87
Source IDf793efb3-be59-474f-b540-ba463e8cc79a
Board IDf793efb3-be59-474f-b540-ba463e8cc79a
Providerbamboohr
Provider Job Key461
TitleData Engineer (Senior)
Normalized Title
Statusactive
Activeyes
Location TextHuntsville, Alabama, 35898, United States
DepartmentSoftware & Cyber Solutions
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
Region
CityHuntsville
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://cintel.bamboohr.com/careers/461
Apply URLhttps://cintel.bamboohr.com/careers/461
First Seen At2026-05-30 06:10:37Z
Last Seen At2026-06-06 09:46:05Z
Last Checked At2026-06-06 09:46:05Z
Last Changed At2026-05-30 06:10:37Z
Inactive At
Source Posted At2025-04-15 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=cintel/date=2026-06-06/2026-06-06T09-46-03-513Z-e2f4bc4ab8da34bca6f5583ac9de6dbe2883cb0e85d6d9f50c2d78376ec28347.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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    "description": "<p>Job Title: Data Engineer (Senior)</p>\n<p>Location: Redstone Arsenal</p>\n<p>Position Type: Full-Time</p>\n<p><br></p>\n<p>Position Overview:<br>We are seeking a highly experienced Senior Data Engineer to lead data engineering efforts for the development and deployment of an advanced visual analytic application. This role will focus on building and optimizing large-scale data systems, integrating structured and semi-structured data streams, and enabling advanced data visualization and analytics through desktop and web applications. The ideal candidate will possess deep expertise in enterprise database design, high-performance computing, and the use of COTS, GOTS, and open-source tools to deliver actionable intelligence to mission-critical operations. An active Top Secret clearance is required.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead the development of advanced data analytics capabilities integrated into visual analytic software for both desktop and web environments.</li>\n<li>Engineer and optimize large-scale relational databases to support high-throughput data ingestion and real-time analytics.</li>\n<li>Facilitate bulk analysis of relational and semi-structured data using advanced visualization tools, high-performance computing techniques, and specified technologies (COTS, GOTS, and open-source).</li>\n<li>Design and implement data pipelines and architectures that extract, transform, and load (ETL) data from multiple sources into centralized, accessible formats.</li>\n<li>Establish data strategies for enterprise-scale systems, setting best practices and standards for performance, programming, and security.</li>\n<li>Integrate new applications and analytics systems with existing data warehouse architectures.</li>\n<li>Continuously evaluate and improve system performance and functionality to meet mission objectives.</li>\n<li>Develop and maintain data models, metadata repositories, and documentation to ensure transparency and maintainability.</li>\n<li>Collaborate with software developers, data scientists, and intelligence analysts to deliver scalable and secure analytic solutions.</li>\n<li>Translate complex business and technical requirements into robust data systems and workflows.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.</li>\n<li>Minimum of 8 years of experience in data engineering, database development, or related roles.</li>\n<li>Active Top Secret clearance required.</li>\n<li>Strong expertise in designing and building large-scale relational databases (e.g., PostgreSQL, Oracle, SQL Server).</li>\n<li>Proficiency in developing and maintaining ETL pipelines and working with structured/semi-structured data (e.g., JSON, XML, CSV).</li>\n<li>Experience with enterprise data warehouse architectures and integration of new systems into existing environments.</li>\n<li>Familiarity with big data frameworks (e.g., Hadoop, Spark), data modeling, and performance tuning.</li>\n<li>Hands-on experience with advanced data visualization and analytics platforms.</li>\n<li>Solid understanding of data security best practices, governance, and compliance in secure environments.</li>\n<li>Excellent communication, analytical, and problem-solving skills.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience in defense, intelligence, or government data environments.</li>\n<li>Familiarity with geospatial or temporal data visualization tools.</li>\n<li>Knowledge of cloud-based data services and platforms (e.g., AWS, Azure, GCP).</li>\n<li>Proficiency in programming/scripting languages such as Python, Scala, or Java.</li>\n<li>Experience with containerized environments and DevSecOps practices.</li>\n</ul>\n<p><span>ABOUT CINTEL, INC:</span></p>\n<p><span>Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support.</span></p>\n<p><span> </span></p>\n<p><span>We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. 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