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senior data engineer

Metas Solutions

<div>Metas Solutions has an &quot;opening&quot; for a talented Senior Data Engineer based in Atlanta, GA. The ideal candidate must be able to work onsite in the Atlanta metro area and someone who's proficient in Databricks workspaces and Azure infrastructure. In this position, you'll drive the next generation of our analytics products by architecting and delivering end-to-end cloud analytics solutions. In a fully cloud-native environment, you'll partner with product managers, data scientists, software engineers, machine learning (ML) engineers and business analysts to enable and support a platform that powers personalized experiences and operational efficiency. You'll leverage automated model CI/CD, containerized deployments (Docker/Kubernetes), and real-time monitoring to ensure our ML systems are reliable, secure, and scalable.
You will be responsible for the design, implementation, and maintenance of the Databricks workspaces and its associated Azure infrastructure. You will manage and optimize data and machine learning workloads, ensuring a reliable, secure, and scalable platform for business analysts, data engineering and data science teams.
Responsibilities:<ul><li>
Lead the administration and governance framework of the platform regarding the security posture of the enterprise and its key stakeholders</li><li>
Design and implement automated solutions to streamline accounts and workspace administration</li><li>
Collaborate with cross-functional teams to understand business needs and translate them into ML solutions</li><li>
Mentor junior engineers and provide technical leadership in Databricks best practices and techniques</li><li>
Conduct cost and performance analysis of the various computes, and data assets within the platform</li><li>
Stay current with the latest advancements in Databricks SQL, Machine Learning and AI, and integrate new technologies and methods as applicable</li><li>
Engage in knowledge sharing and contribute to building a strong, collaborative team environment</li></ul>
Qualifications:<ul><li>
5+ years of experience with Databricks Account and Workspace Administration, including governance, configuration, and security management</li><li>
Experience with optimizing Databricks environments for cost efficiency, performance, and reliability</li><li>
Experience with developing and maintaining Databricks data pipelines using Autoloader, Delta Live Tables, and Databricks Workflows</li><li>
Experience with implementing MLOps solutions using MLflow 2.0/3.0, Serving Endpoints, and Model Registry in production environments</li><li>
Experience with Databricks SQL tools such as Queries and AI/BI Dashboards</li><li>
Experience with large datasets and distributed computing across cloud platforms (AWS, GCP, Azure), including Azure services like Entra ID, Data Factory, Key Vault, and Purview</li><li>
Knowledge of Unity Catalog Governance Architecture and enterprise data security best practices</li><li>
Possession of strong communication and documentation skills with the ability to clearly convey complex technical concepts to both technical and non-technical audiences</li><li>
Ability to work on-site in Atlanta, Georgia</li><li>
Master's degree in computer science, Computer Engineering, or related programs</li></ul>
Additional Qualifications:<ul><li>
Knowledge of Azure Cloud Networking concepts like VNET Injection</li><li>
Databricks Platform Administrator Certification</li><li>
Microsoft Certified: Azure Administrator Associate</li></ul>
Security Requirements:<ul><li>
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period</li><li>
Market competitive salary, commensurate with experience and education</li><li>
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities</li></ul>
We are an Equal Opportunity Employer/Veterans/Disabled</div>

Senior Data Engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
In this role, you will:<ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.
Required Qualifications<ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul>
Preferred Qualifications<ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul>
Education<ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Cox Automotive

<div>The Senior Data Engineer is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. The Senior Data Engineer also plays a role in Agile planning, providing advice and guidance, and monitoring emerging technologies. 
 
WHAT YOU'LL DO
 
 
KEY RESPONSIBILITIES: 
 
Process Structured and Unstructured Data 
<ul><li>
Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.</li><li>
Understands and enforces appropriate data master management techniques.</li></ul> 

Data Validation and Quality 
<ul><li>
Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.</li><li>
Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.</li></ul> 

Agile Planning 
<ul><li>
Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions.</li><li>
Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.</li></ul> 

Product Development 
<ul><li>
Implements and optimizes data solutions in enterprise data warehouses and big data repositories.</li><li>
Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools.</li></ul> 

Application Support 
<ul><li>
Provides ongoing support, monitoring, and maintenance of deployed products.</li></ul> 

Advice and Guidance 
<ul><li>
Actively works with less experienced data engineers providing technical guidance and oversight.</li></ul> 

Emerging Technology Monitoring 
<ul><li>
Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization.</li></ul> 

WHO YOU ARE 
 
REQUIRED QUALIFICATIONS: 
<ul><li>
Must live within a commutable distance to Atlanta GA</li><li>
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.</li><li>
Bachelor's degree in Computer Science or related field and 4+ years related experience OR Masters Degree w/ 2+ years experience OR 16 years experience of equivalent combination of industry related professional experience and education.</li><li>
Working experience with batch and real-time data processing frameworks</li><li>
Must have strong working experience with data modelling, data access, schemas, and data storage techniques within Snowflake</li><li>
Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems</li><li>
Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL</li><li>
Working experience with business intelligence tools and platforms</li><li>
Working experience with data quality tools</li><li>
Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative)</li><li>
Experience with ETL processes and tools</li><li>
Experience working with Git</li><li>
Experience working with AI related tools such as co-pilot</li><li>
Experience implementing new tools into environments</li></ul> 

PREFERRED QUALIFICATIONS: 
<ul><li>
Experience or exposure to DBT</li><li>
Scrum Developer Certification or equivalent</li><li>
Working experience with Sisense platform</li><li>
Working experience with SQL Server Integration Services</li><li>
Working experience with AWS data tools (Database Migration Service)</li><li>
Working experience with Python</li><li>
Experience working with Jira, Rally or similar tools</li></ul> 
USD 101,500.00 - 169,100.00 per year 
 
Compensation: 
 
Compensation includes a base salary of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. 
 
Benefits: 
 
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.</div>

Sr Data Engineer

Powerplan

<div>Overview:

The Senior AI/ML Engineer will modernize and scale the company&rsquo;s enterprise data and AI platform by designing AI-ready data models, operationalizing ML systems, and enabling natural-language analytics through Databricks Genie or equivalent AI tooling.
This role exists to shift the organization from dashboard-driven analytics to AI-powered decision intelligence at enterprise scale.
Responsibilities:

Performance Objectives 
Modernize and Operationalize the Analytics Data Platform
Within 6&ndash;9 months, design and implement a scalable medallion-based architecture (Bronze/Silver/Gold) in Databricks or Snowflake that supports AI-ready datasets, improves query performance by 30%, and reduces data reliability incidents by 40%.
Subtasks:<ul><li>
Redesign analytical data models for AI/ML consumption</li><li>
Implement governance using Unity Catalog or Snowflake controls</li><li>
Optimize distributed compute performance</li><li>
Establish monitoring and quality validation checkpoints</li></ul> 
Enable AI-Ready Data Modeling &amp; Governance
Within 6 months, establish semantic models and metadata standards that enable business-facing AI querying with 95% data trust rating from stakeholders.
Subtasks:<ul><li>
Standardize schema design for ML and GenAI workloads</li><li>
Align business definitions with governed datasets</li><li>
Implement lineage and access controls</li><li>
Reduce duplicate or conflicting metric definitions</li></ul> 
Build and Deploy Production-Grade ML Pipelines
Within 9&ndash;12 months, implement reusable ML lifecycle pipelines (experimentation training evaluation deployment) that reduce time-to-production for ML models by 50%.
Subtasks:<ul><li>
Standardize MLflow/Feature Store workflows</li><li>
Implement CI/CD for ML</li><li>
Improve model observability and drift monitoring</li><li>
Establish model documentation standards</li></ul> 
Implement Natural Language AI Analytics (Databricks Genie Enablement)
Within 6 months, deploy and optimize Databricks Genie (or equivalent AI query interface) enabling business users to generate accurate plain-language insights with 80% adoption across target user groups.
Subtasks:<ul><li>
Translate business questions into semantic AI-ready datasets</li><li>
Improve response accuracy through model + metadata tuning</li><li>
Partner with Product on use-case prioritization</li><li>
Track and improve AI query accuracy and user engagement</li></ul> 
Democratize AI Across Business Teams
Within 12 months, embed AI-driven analytics into at least 3 core business workflows, demonstrating measurable business impact (e.g., cost reduction, revenue lift, or decision cycle time improvement).
Subtasks:<ul><li>
Identify high-value AI use cases</li><li>
Collaborate cross-functionally</li><li>
Deliver production-ready AI solutions</li><li>
Document business ROI outcomes</li></ul> 
Establish Enterprise AI Platform Standards
Within 12 months, define and institutionalize architectural standards, best practices, and governance frameworks adopted across Engineering and Analytics teams.
Subtasks:<ul><li>
Publish architecture reference patterns</li><li>
Lead design reviews</li><li>
Mentor engineers</li><li>
Influence long-term AI strategy</li></ul> 
Success Metrics Summary<ul><li>
30%+ performance improvement in analytics workloads</li><li>
40%+ reduction in data quality incidents</li><li>
50% reduction in ML deployment cycle time</li><li>
80% Genie adoption in target group</li><li>
3+ AI use cases with measurable ROI</li><li><ul><li>95% stakeholder trust in AI-generated insights</li></ul></li></ul>
Qualifications:

Growth &amp; Career Move
This is a high-impact platform leadership role enabling enterprise AI transformation. The individual will shape architecture standards, influence executive AI strategy, and lead the shift from traditional BI to AI-powered decision intelligence.
Required Qualifications<ul><li>
10+ years of experience in Data Analytics, Data Engineering, ML Engineering, or AI Engineering</li><li>
Strong hands-on experience with Databricks or Snowflake in production environments</li><li>
Expertise in SQL, Python, and distributed data processing (Spark preferred)</li><li>
Strong understanding of data modeling for analytics and AI</li><li>
Experience building and deploying ML models in real-world systems</li><li>
Familiarity with LLMs, GenAI concepts, and AI-assisted analytics</li><li>
Experience with ML lifecycle tools (MLflow, Feature Stores, CI/CD for ML)</li></ul><div></div><div> 
Preferred Qualifications</div><ul><li>
Direct experience with Databricks Genie or AI-powered BI tools</li><li>
Experience with Unity Catalog, Delta Live Tables, or Snowflake governance features</li><li>
Exposure to Azure, AWS, or GCP cloud platforms</li><li>
Experience working in regulated or enterprise SaaS environments</li><li>
Ability to explain complex technical concepts to non-technical stakeholders</li></ul><div></div><div> 
What Success Looks Like in This Role</div><ul><li>
Business users can ask questions in plain English and get trusted, accurate insights</li><li>
Data models are AI-ready, scalable, and well-governed</li><li>
ML models move smoothly from experimentation to production</li><li>
Databricks Genie adoption grows with measurable business impact</li><li>
AI is embedded into analytics not bolted on</li></ul><div></div><div> 
Why Join Us</div><ul><li>
Work on real AI/ML problems at enterprise scale</li><li>
Influence the evolution of a modern data + AI platform</li><li>
Partner with senior leaders shaping the company&rsquo;s AI-first future</li><li>
Build systems that turn data into decisions not dashboards</li></ul><div>
PowerPlan is an EOE</div><div>
Applicant Privacy Notice</div><div></div> 
Please note that this is a hybrid role that involves a combination of onsite work from our corporate office as well as work from home. While we strive to accommodate flexible working arrangements when sensible, there will be times when onsite work is required. This could include scheduled office days, team meetings, client meetings, or special events.</div>

Senior Databricks AI Engineer

State of Georgia - Transportation, Georgia Department of - GDOT

<div><div>Additional Information
</div><ul><li>Agency Logo:</li>
<li>Requisition ID: ENG00S8</li>
<li>Number of Openings: 1</li>
<li>Advertised Salary: 125,000.00</li>
<li>Shift: Day Job</li>
<li>Posting End Date: Mar 6, 2026</li></ul></div>
 <div>ETM120 -GDOT Mgr 1, Civil Engineering &ndash; 20518 &ndash; District Senior Design Engineer
Pay Grade Q
$125,000.00
JOB SUMMARY: Serves as Group Leader, District Senior Design Engineer, or Unit Manager over professional engineers performing a broad range of engineering principles and oversees complex projects. Manages the quality control process for engineering groups or District. Manages activities of the engineering group or District. Coordinates and assigns projects and project tasks among engineering group members or District to ensure on time project delivery.
JOB SPECIFIC DUTIES: Serves as Civil Engineering Group Manager within the Office of Roadway Design. Supervises the completion of project milestones and other submittals according to the baseline schedule. Ensures project design decisions and calculations are documented in the design data book and that an organized record of paper and electronic project files is kept. Coordinates and assigns projects and project tasks among design group members to ensure on time project delivery according to the baseline schedule. Develops and reviews proposed project schedules for Roadway Design activities. Meet regularly with design group members to review work progress, resolve any problems to keep projects on schedule and ensure that the information and materials needed to complete project tasks are available to them. Reviews, updates &amp; maintains Roadway Design project tasks using P6 and TPRO at least semi-monthly. Develops Action plans to resolve design related issues/delays with Design Group members. Coordinates with Project Manager and/or Project Team concerning issues related to project engineering &amp; plan development. Makes recommendations and carries out personnel actions in accordance with applicable federal, state, and departmental policies and procedures. Approve leave in compliance with Dept. policy. Ensure WFTK is accurate. Prepares ePerformance plan and complete ePerformance ratings for all Design Group employees and counsels each individual on their performance. Prepares yearly goals and individual development plans for each member of the Design Group. Monitors performance and coaches employees to facilitate their development.
MINIMUM QUALIFICATIONS
The selected candidate must meet the advertised minimum qualifications to include State Entry Qualifications as well as Agency Specific Minimum Qualifications.
STATE ENTRY QUALIFICATIONS:<ul><li> Bachelor's degree in civil engineering or civil engineering and technology and demonstrated experience in a lead worker or supervisory role, and a Professional Engineer (PE) License</li><li> OR Professional Engineering (PE) License and demonstrated experience in a lead worker or supervisory role.</li></ul>
AGENCY MINIMUM QUALIFICATIONS:<ul><li> Georgia PE License OR the ability to obtain the GA PE License within six months of hire date.</li></ul><ul><li>
Five or more years of experience performing and coordinating the design of complex urban and rural transportation construction projects.
</li><li>Possession of any professional Design certifications/licensures such as Level II Design Professional certification, CPESC, CPSWQ, etc.
</li></ul><ul><li> Demonstrated experience in preparing and reviewing pavement designs.</li><li> Demonstrates knowledge and understanding of the plan development process.</li><li> Demonstrated experience in highway/transportation engineering and CADD and design computations.</li><li> Demonstrated experience to read and understand all pertinent design information from other offices.</li><li> Demonstrated experience to prepare clear, organized and succinct written technical reports.</li><li> Demonstrated experience anticipating problems in plan development, evaluating information, and developing and implementing effective solutions.</li><li> Demonstrated experience to readily learn and teach new design principles or plan development procedures to group members.</li><li> Demonstrated experience to visualize project from plans and reviews development of project design for design quality value analysis and from the point of view of construction staging compatibility.</li><li> Demonstrated experience to perform/review all types of engineering mathematical reasoning and design computations.</li><li> Knowledge of resource allocation/balancing, Roadway Design task durations and Roadway Design project scheduling and man-hour estimates.</li><li> Demonstrated excellent leadership skills, with experience motivating and guiding others toward accomplishment of office/department goals.</li><li> Demonstrated experience developing team spirit and commitment to shared goals.</li><li> Committed to providing quality customer service.</li><li> Displays a professional image and highly responsible leadership, embodying high standards of ethical conduct.</li><li> Knowledge of functional areas necessary to perform in this role.</li><li> Understands the Department's and the unit's goals and responds to these goals in design and management decisions.</li></ul>
AGENCY PREFERRED QUALIFICATIONS:<ul><li> Devises new methods of solving management or design problems when established practices are inadequate.</li><li> Negotiates effectively with internal and external clients, including consultants, to reach a mutually acceptable solution or contract which is responsive to the interests of the Department.</li><li> Shows respect, courtesy and tact to others.</li><li> Expresses ideas and facts to groups or individuals effectively.</li><li> Facilitates adaptation to change.</li><li> Uses provided software applications to work efficiently.</li><li> Sees detail in words, numbers and plans quickly and accurately.</li><li> Develops a ready memory of projects assigned to the unit.</li></ul>
IMPORTANT INFORMATION FOR ALL GDOT JOBS
The interview is just one part of the overall selection process and is not the only criteria used to make the final selection. In addition to the interview, the final selection is based on the applicant&rsquo;s work history and performance (documented in HR and/or Office files), PeopleSoft/employee status (i.e. rehire code), employee performance reviews, personnel file review (HR &amp; Office Files), criminal background check, employment reference checks (including references and commendations from Managers and other relevant documentation) and, for supervisory positions, demonstrated leadership skills based on past and current work history will be considered.
Good Employment Standing:
In accordance with the Interview and Selection Process (ISP), an applicant must have no active disciplinary actions to be in good employment standing. Actions that may disqualify an applicant include letters of reprimand (active for 12 months after issuance date); suspension without pay or disciplinary demotion (active for 12 months from the effective date); Performance Improvement Plans (PIP) and Leave Restriction Plans (active until 12 months after the date of conclusion). In addition, an employee must have an overall ePerformance rating score of three (3) or higher on their most current evaluation. Please note that Memorandums of Concern are not considered disqualifying factors. Human Resources may remove any employee from consideration for selection who is pending a disciplinary action; however, if the action is resolved in the employee&rsquo;s favor, he or she will be allowed to compete.
THIS IS AN INTERNAL AND EXTERNAL JOB ANNOUNCEMENT
OR
THIS IS AN INTERNAL JOB ANNOUNCEMENT OPEN ONLY TO GEORGIA DEPARTMENT OF TRANSPORTATION EMPLOYEES
THIS IS AN UNCLASSIFIED POSITION.
THE SELECTED APPLICANT FOR THE POSITION WILL BE SUBJECT TO A REFERENCE CHECK AND CRIMINAL BACKGROUND CHECK, WHERE APPLICABLE
PLEASE INCLUDE ALL RELEVANT JOB INFORMATION ON THE APPLICATION FOR
CONSIDERATION. ALL APPLICATIONS WILL BE PRESCREENED.
UPON PROMOTION, THE SELECTED CANDIDATE WILL RECEIVE 10% or THE GDOT JOB SPECIFIC MINIMUM SALARY, WHICHEVER IS GREATER.
GDOT IS AN EQUAL OPPORTUNITY EMPLOYER
<div>Bachelor's degree in civil engineering or civil engineering and technology and demonstrated experience in a lead worker or supervisory role, and a Professional Engineer (PE) License; or Professional Engineering (PE) License and demonstrated experience in a lead worker or supervisory role.</div></div>

District 7 - GDOT Mgr 1, Civil Engineering - ETM120 - (PG-Q) - District Senior Design Engineer - Atlanta, GA

Safe-Guard Products International, LLC

<div><div>Job Posting Title: Information Security Engineer</div><div></div><div> 
Job Description</div>
Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform. 
Job Title: Information Security Engineer
Location: US-GA-Atlanta (Sandy Springs Hybrid)
FLSA: Exempt 
Safe-Guard Products provides products and solutions to the motor vehicle industry that drive customer retention and protect consumers from the perils of vehicle ownership. We believe in innovation, collaboration and diversity and inclusion. Safe-Guard offers Competitive Benefits and career path.<div></div><div> 
Position Overview:</div><div>
Security Operations is a team that is responsible for incident detection and response (IR), vulnerability management (VM), Data Protection (DP) and security engineering activities. The Security Operations Engineer will be able to handle IR alerts and escalations from multiple sources and is responsible for implementing, maintaining, monitoring and managing security technologies to support SIEM, Endpoint Detection &amp; Response (EDR), Vulnerability Management, Data Protection and others. The engineer delivers these solutions and services in accordance with the organization&rsquo;s architectural designs, best practices, and regulatory or compliance requirements. As risks change, the security engineer is responsible for recommending modifications and enhancements to ensure the organization is evolving with the threat landscape.</div><div>
The engineer reports on findings and provides recommendations for corrective action. Performs vulnerability assessments as assigned utilizing IT security tools and methodologies. Performs assessments of the IT security/risk posture within the IT software and applications. 
 Provides weekly project status reports, including accomplishments and outstanding issues.</div><div></div><div> 
Essential Functions:</div><div><ul><li>
Assist with incident response and system stability issues as they occur. This may include involvement outside of regular work hours, and responsiveness is expected.</li><li>
Leverage approved AI technologies to optimize results in Security Operations.</li><li>
Implement, manage and maintain event and log collection, reporting and compliance requirements.</li><li>
Design and build SIEM dashboards and reporting tools required by technical teams. Help correlate events to support SOC response requirements.</li><li>
Maintain up-to-date level of knowledge related to security threats, vulnerabilities and mitigations set forth to reduce attack surface.</li><li>
Tune the SIEM with threat intelligence sources (e.g., premium, industry-shared, open-source and dark web), and correlate event indicators and threats.</li><li>
Support SOC automation initiatives leveraging playbooks, while also using human analysis as needed.</li><li>
Actively participate in threat hunting tabletop exercises to hone and strengthen skills across the team.</li><li>
Ensure security and technology teams maintain up-to-date configuration documentation for systems and processes.</li><li>
Monitor for vulnerabilities within applications, endpoints, databases, networking, and mobile and cloud services.</li><li>
Collaborate with IT operations to manage internal- and external-facing systems to identify, track and remediate system and application vulnerabilities.</li><li>
Support IT operations&rsquo; responsibility to remediate system and application vulnerabilities.</li><li>
Conduct continuous discovery, vulnerability assessment and remediation status of enterprise-wide assets.</li><li>
Prioritize vulnerability remediation based on criticality, exploit probability, rating and business risk exposure.</li><li>
Document, prioritize, recommend, validate and report on the state of vulnerabilities.</li><li>
Work closely with infrastructure teams to advise and support remediation efforts to close vulnerability exposure to new threats in the wild and verify the organization&rsquo;s security posture against them.</li><li>
Remain current with emerging threats and share knowledge with colleagues to improve security posture.</li><li>
Implement and manage data discovery and classification to understand where sensitive data resides and how it is used.</li><li>
Design, tune and operate DLP and CASB controls to prevent unauthorized data exposure and data exfiltration.</li><li>
Drive DSPM initiatives to identify overexposed, redundant or high-risk data and support data minimization efforts.</li><li>
Monitor and analyze access to sensitive data to reduce excessive or inappropriate access and mitigate insider risk.</li><li>
Support the data governance program, including policy enforcement, standards, exception handling and documentation.</li><li>
Produce clear metrics and insights on data protection posture, risk trends and control effectiveness.</li><li>
Continuously improve data protection controls in alignment with evolving business needs and regulatory requirements.</li><li>
Generate weekly, monthly and/or ad-hoc reports for managers as requested.</li><li>
Perform other duties as assigned.</li></ul></div><div></div><div> 
Skills Requirements:</div><ul><li>
Highly technical and analytical expertise, with a proven background in technology design, implementation and delivery.</li><li>
Experience in cloud computing technologies, including software-, infrastructure and platform-as-a-service, as well as public, private, and hybrid environments.</li><li>
Extensive knowledge of traditional security controls and technologies, such as Security Information and Event Management (SIEM) systems, intrusion detection/prevention systems (IDS/IPS), antivirus and firewalls, endpoint detection and response (EDR), threat intelligence platforms, security automation and orchestration, data protection and application controls.</li><li>
Skilled in meeting vulnerability and penetration testing requirements.</li><li>
Excellence in communicating business risk from cybersecurity issues.</li><li>
Experience managing SIEM systems, vulnerability management, threat intelligence platforms, security automation and orchestration solutions, data loss prevention (DLP) and other network and system monitoring tools.</li><li>
Track record of acting with integrity, taking pride in work, seeking to excel, being curious and adaptable, and communicating effectively.</li></ul><div></div><div> 
Education Requirements</div><div><ul><li>
Bachelor&rsquo;s degree in computer science, information assurance, MIS or related field, or equivalent.</li></ul></div><div></div><div> 
Experience Requirements</div><div><ul><li>
5-7+ years of related experience required.</li></ul></div><div></div><div> 
Certification Requirements</div><div><ul><li>
CISSP (preferred); CISM and/or SANS certification or other related certifications a plus.</li></ul></div><div></div><div> 
Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.</div></div>

Information Security Engineer

The Home Depot

<div>Position Purpose:
As a Senior Operations Business Analyst in HDES, you will have a material impact on field and support operations with large scale, visible outcomes. Your goal is to understand and quantify drivers that map to the activities our associates perform to support our stores and supply chain facilities. In addition to developing these solutions, you will be creating comprehensive project plans that incorporate the strategies of The Home Depot and Home Depot Equipment Services.
How do we engineer a process to support the unique and many different maintenance needs of our stores? What processes does this team execute regularly that require streamlining and optimizing? These are the types of questions you&rsquo;ll be helping to answer through a combination of in-person studies and data analysis. This role will also see you partnering closely with a variety of cross-functional teams and help you gain the exposure needed to build a successful career at the Home Depot . 
This role offers high visibility to a variety of business partners. This, combined with scope of The Home Depot Enterprise, brings a very large career mobility element to the table as well, with the possibility to take your career in a number of different directions at The Home Depot. 
Key Responsibilities:<ul><li>
Lead Project Teams of Analysts and other associates</li><li>
Perform data gathering tasks, synthesis - develop solutions, project/strategy planning and data utilization</li><li>
Produce documents for teams and leadership to review and utilize. Deliver presentations to teams and executive leaders and sponsors</li><li>
Build skills and knowledge including self-development, team knowledge and customer (internal) knowledge.</li><li>
Deliver presentations to teams and executive leaders and sponsors.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to Store Operations Process Manager or Store Operations Business Manager (or Sr. Managers)</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
A Master's Degree is preferred.</li><li>
(5 years of work experience is preferred)</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Experience leading high performing teams</li><li>
Consulting management and/or project management.</li><li>
Strong quantitative skills such as statistics and data analysis</li><li>
Problem solving</li><li>
Strong Operations, Retail and/or field knowledge</li></ul></div>

Sr. Analyst, Strategic Projects (Equipment Services)

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