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Cybersecurity Data Engineer Jobs in Montgomery, AL

vTech Solution

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Job Role : Data Quality Engineer Duration : 03 months (Possibility of extension) Location ... network security , and cybersecurity . Their primary focus is on providing human-centered ...

Empower AI Inc.

Cloud Engineer

Montgomery, AL · Hybrid

$55.25 - $73.75/hr

Cybersecurity Services Services are delivered across Army Enterprise Data Centers (AEDCs) CONUS and ... Mentor junior engineers and contribute to workforce upskilling as the organization transitions to ...

Empower AI Inc.

Cloud Engineer

Montgomery, AL · Hybrid

$55.25 - $73.75/hr

Cybersecurity Services Services are delivered across Army Enterprise Data Centers (AEDCs) CONUS and ... Mentor junior engineers and contribute to workforce upskilling as the organization transitions to ...

TechFlow, Inc.

Database Engineer

Montgomery, AL · On-site

... cybersecurity requirements. * Develop, maintain, and regularly validate comprehensive backup ... Support ETL processes, data integration activities, and maintenance of database metadata and data ...

TechFlow, Inc.

Database Engineer

Montgomery, AL · On-site

... cybersecurity requirements. * Develop, maintain, and regularly validate comprehensive backup ... Support ETL processes, data integration activities, and maintenance of database metadata and data ...

TechFlow, Inc.

Database Engineer

Montgomery, AL

... cybersecurity requirements. * Develop, maintain, and regularly validate comprehensive backup ... Support ETL processes, data integration activities, and maintenance of database metadata and data ...

TechFlow, Inc.

Database Engineer

Montgomery, AL

... cybersecurity requirements. * Develop, maintain, and regularly validate comprehensive backup ... Support ETL processes, data integration activities, and maintenance of database metadata and data ...

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All JobsCybersecurity Data Engineer JobsCybersecurity Data Engineer Jobs in Montgomery, AL

Cybersecurity Data Engineer information

See Montgomery, AL salary details

$44K

$128.3K

$175.6K

How much do cybersecurity data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cybersecurity data engineer in Montgomery, AL is $128,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Engineer?

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

What is the difference between Cybersecurity Data Engineer vs Cybersecurity Analyst?

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.
What are popular job titles related to Cybersecurity Data Engineer jobs in Montgomery, AL? For Cybersecurity Data Engineer jobs in Montgomery, AL, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Montgomery, AL look for? The top searched job categories for Cybersecurity Data Engineer jobs in Montgomery, AL are:
What cities near Montgomery, AL are hiring for Cybersecurity Data Engineer jobs? Cities near Montgomery, AL with the most Cybersecurity Data Engineer job openings:
Cybersecurity Data Engineer jobs near you

Data Quality Engineer

vTech Solution

Montgomery, AL • On-site

$113K - $136K/yr

Contractor

Re-posted 10 days ago

Job description

Job Role : Data Quality Engineer
Duration : 03 months (Possibility of extension)
Location : Montgomery, AL - 36130 (Onsite)
Interview: Video or In person Based on Location

Job Description:
A Data Quality Engineer, strong data analyst with deep technical skills in SQL, Purview, Data Pipelines and Data Modeling, plus experience in cloud data environments, automated testing, and collaboration with analytics and engineering teams. Ensures data is not only clean but also ready to support advanced analytics and AI applications

Data Quality Engineer & Analytics Skills:

  • Core Technical Skills Must Be Able To Navigate An Environment With Low\No Data Maturity
  • Data Profiling & Cleansing: Analyze data to identify anomalies, duplicates, outliers, and missing values; apply cleansing techniques to improve data integrity.
  • SQL Proficiency: Write complex queries to validate data accuracy, perform transformations, and generate reports. (SSIS - ETL\ELT)
  • Python & Other Languages: Python is widely used for automation, data validation, and integration with analytics pipelines; SQL is essential for querying and reporting.
  • Data Modeling & Warehousing: Understand ETL/ELT processes, data warehouse/lake/lakehouse architectures, and data modeling principles.
  • Cloud & Modern Data Stack: Experience with cloud platforms (AWS, GCP, Azure), modern data warehouses (Snowflake, BigQuery), and tools like Spark, Kafka/Kinesis, Hadoop, or S3.
  • Data Testing & Observability: Design and deploy automated data testing at scale; use observability platforms for real-time monitoring.

Analytics & Data Science Skills:

  • Data Quality Standards & Metrics: Define and enforce data quality benchmarks; measure completeness, accuracy, timeliness, and consistency.
  • Root Cause Analysis: Identify why data issues occur (ETL bugs, user input errors, system failures) and implement fixes.
  • Collaboration with Data Scientists: Work with ML/data science teams to ensure training data is clean and reliable.
  • Statistical & Trend Analysis: Interpret patterns in large datasets to inform quality improvements.

Soft & Communication Skills:

  • Stakeholder Engagement: Gather requirements from business, engineering, and analytics teams; advocate for data quality across the organization.
  • Problem-Solving & Attention to Detail: Spot and resolve data issues efficiently; maintain high precision in validation.
  • Documentation: Record quality issues, processes, and improvements for transparency and compliance.

Tools & Platforms:

  • Query & Analysis: SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3.
  • Data Quality Tools: Data profiling tools (MS Purview), validation scripts, observability platforms.
  • Collaboration: Jira, Snowflake, or other data governance platforms.

Required Skills

  • Strong experience working in low or immature data environments, establishing data quality processes from scratch (8-10 Years)
  • Advanced SQL expertise for complex querying, data validation, and transformation (8-10 Years)
  • Hands-on experience with ETL/ELT pipelines (e.g., SSIS or similar tools) (8-10 Years)
  • Proficiency in Python for data automation, validation, and pipeline integration (5-8 Years)
  • Experience with data profiling and cleansing (anomalies, duplicates, outliers, missing values) (8-10 Years)
  • Solid understanding of data modeling and data warehouse/lake/lakehouse architectures (8-10 Years)
  • Experience implementing data quality frameworks and metrics (accuracy, completeness, timeliness, consistency) (8-10 Years)
  • Experience with cloud data platforms (AWS, Azure, or GCP) and modern data warehouses (e.g., Snowflake, BigQuery) (5-8 Years)
  • Required Tools & Platforms: (8-10 Years) Query & Analysis: SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3. Data Quality Tools: Data profiling tools (MS Purview), validation scripts, observability platforms. Collaboration: Jira, Snowflake, or other data governance platforms.
  • Bachelor's Degree

Preferred Skills

  • Knowledge of DAMA-DMBoK, DCAM, MDM concepts, and governance frameworks. (8-10 Years)
  • Experience with Microsoft Purview, Fabric, MS Power BI, and Key Vault (5-8 Years)
  • Familiarity with AI/ML data readiness and feature-store-aligned data structuring. (5-8 Years)
  • Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years)
  • Master’s degree preferred.
  • DAMA CDMP (Associate/Practitioner) · EDM Council DCAM · ASQ Data Quality Credential · Collibra Data Steward Certification · Certified Data Steward (eLearningCurve) · Cloud/AI certifications (Azure, Databricks, Google)

vTech Solution Inc. is a Managed IT Services firm headquartered in Washington, DC. They specialize in a range of services including cloud computing, managed network security, and cybersecurity. Their primary focus is on providing human-centered IT solutions for government and business sectors, including federal, state, local, and education (SLED) groups, as well as commercial organizations.

vTech Solution offers services such as:

  • Managed Security Services: Implementing zero-trust security frameworks to prevent cyber threats in real-time.
  • Multi-cloud Management Services: Helping businesses digitally transform with smart cloud technologies.
  • Infrastructure Managed Services: Creating resilient and secure infrastructure management.
  • Professional Services: Providing expertise for mission-critical programs.
  • Productivity and Communications: Ensuring secure and confident business connectivity from anywhere
vTech Solution logo

About vTech Solution

Sourced by ZipRecruiter

vTech is a Managed IT Services firm based out of Washington DC with a primary focus on Cloud Computing and Managed Network Security.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Washington, DC, US

Year founded

2006

Social media

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