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senior database engineer

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

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Incorporated
<h2 class="jobSectionHeader">Job Area:
</h2>Information Technology Group, Information Technology Group &gt; IT Engineering
General Summary:
We have an opportunity in our Global Data Center Operations team for an intelligent and motivated Data Center Engineer who is enthusiastic about data center deployment and site reliability/management. As a member of our team, you will be managing existing and new Qualcomm data centers in Atlanta, Georgia. You will be responsible for the day-to-day operations of our data center and assume a critical role in maintaining overall uptime, performance, and capacity.
Your responsibilities will include site management, Moves/Adds/Changes of systems within the site, and installations/configurations of server, networking, and storage equipment in preparation for administrator tasks. You will also collaborate with our current Atlanta data center lead and San Diego teams for site management, including cabling and site growth planning.
Bring your solid experience and take on mission-critical projects as part of a fast-paced, highly collaborative team. We hold ourselves to high standards and take pride in our work. You should be dedicated to excellence, have a strong sense of personal responsibility, and be self-driven.
This position requires on-site work primarily at our facilities in Atlanta, Georgia.
Responsibilities Include (but are not limited to):
<ul><li>Rack and install servers, storage, networking gear, data center gear, and serial consoles.
</li><li>Perform initial configuration and provisioning for deployment (Console/ILO).
</li><li>Conduct site management and planning for production deployments and growth.
</li><li>Troubleshoot hardware issues and provide detailed reports to management/administrators.
</li><li>Manage local vendors for procurement, installations, and remediation.
</li><li>Oversee RMA/EOL/disposal processes.
</li><li>Maintain accurate inventory of all hardware equipment.
</li><li>Assist with co-location capacity planning and rack/server layouts.
</li><li>Implement best practices for power, cooling, and cabling in data center environments.
</li><li>Track issues and tasks via ticketing system.
</li><li>Participate in 24x7x365 on-call support rotation.
</li><li>Work in structured cabling central patch environments.
</li><li>Apply 10/40/100g patching knowledge.
</li><li>Perform basic fiber troubleshooting and VFL testing.
</li><li>Clean fiber end-faces properly.
</li><li>Utilize Commscope iMvision Database (preferred).
</li><li>Add copper cabling, punch down, and run cables.
</li><li>Read and interpret cabling scopes of work.
</li><li>Manage cable integrators and audit work against SOW.
</li><li>Apply quality assurance fundamentals.
</li><li>Understand fiber MPO and TX/RX principles.
</li><li>Troubleshoot fiber and copper connectivity.
</li><li>Perform basic testing of fiber and copper.
</li><li>Travel as needed.
</li></ul>Principal Duties &amp; Responsibilities
<ul><li>Serve as escalation point from service desk for advanced system/application issues.
</li><li>Troubleshoot and debug network, system, and application issues; escalate as needed.
</li><li>Network with colleagues to gain insight and share ideas.
</li><li>Prioritize tasks and manage setbacks under guidance from senior personnel.
</li><li>Adapt to changes and meet deadlines under pressure.
</li><li>Value contributions from diverse backgrounds and cultures.
</li><li>Communicate project status and obstacles to project lead.
</li><li>Complete moderate technical tasks assigned by senior personnel.
</li><li>Maintain open communication within and outside project teams.
</li><li>Contribute to technical discussions with tech leads and managers.
</li></ul>IT Core Competencies
<ul><li>Accountability: Deliver quality, timely, and cost-effective results.
</li><li>Adaptability: Adjust behavior to changing environments and information.
</li><li>Collaboration: Promote teamwork through shared values and goals.
</li><li>Communication: Effectively exchange information and understand others.
</li><li>Financial Acumen: Use financial insights to drive safe and transparent growth.
</li><li>Influence: Achieve goals through collaboration and leadership.
</li><li>People Development: Foster career growth and development.
</li><li>Strategic Focus: Solve complex challenges using business acumen and research.
</li></ul>Required Competencies
(All competencies below are required upon entry)
<ul><li>Analytical Skills: Identify patterns and trends in moderately complex data.
</li><li>Documentation: Record solutions using standard procedures.
</li><li>Escalation Management: Understand and apply incident escalation protocols.
</li><li>IT Expertise: Basic knowledge of operating systems, enterprise software, hardware, and middleware.
</li><li>IT Support: Respond to end-user requests using IT support tools.
</li><li>Monitoring: Interpret log data to maintain performance and security.
</li><li>Technical Troubleshooting: Apply systematic approaches to resolve technical issues.
</li><li>Workstation Software: Proficient in Windows, OSX, and Microsoft Office Suite (Outlook, Word, Excel).
</li></ul>Qualifications
<ul><li>Bachelor&rsquo;s degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems) OR
</li><li>Bachelor&rsquo;s degree in a non-technical field (e.g., Business, Humanities, Marketing) and 1+ years IT-relevant experience OR
</li><li>High School diploma or equivalent and 3+ years IT-relevant experience
</li></ul>Physical Requirements
<ul><li>Transport and install equipment up to 50 lbs.
</li><li>Perform tasks at various heights (standing/sitting).
</li><li>Use computers and test equipment for more than 6 hours/day.
</li><li>Continuous communication with colleagues, customers, and vendors (in-person and remote).
</li></ul>Minimum Qualifications:
<ul><li>3+ years of IT-related work experience with a Bachelor's degree.
</li></ul>OR
 
5+ years of IT-related work experience without a Bachelor&rsquo;s degree.
 
 
Physical Requirements:
 
<ul><li>Frequently transports and installs equipment up to 20 lbs.
</li></ul><div><div><div><div><div><div><div>Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div></div></div></div></div></div></div>To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation &amp; Benefits :
$41.19 - $61.79
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

Data Center Engineer, Senior

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

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>

Cortland

<div>
 
 Role Overview
 
 
 
 Cortland Asset Management , LLC has a full-time opening for Lead Data Engineer in Atlanta, GA 30326. Duties are to design the architecture of a data platform. Develop, customize and manage integration tools, databases, and analytical systems. Build data pipelines, test reliability and performance of the system. Responsible to manage data and meta-data and structure it appropriately in a database management system. Improve awareness and democratize data across organization by publishing data catalogs. Provide data access tools for advanced and business users to extract data, view data, and visualizations. Responsible for performance optimization at database layer and data ingestion frameworks. Build continuous integration and deployment models and automate release pipelines. Support deployment of machine learning models using the CI/CD pipelines. Work closely with infrastructure team to build a secure and reliable eco-system. Work with business teams to solve real business problems using data and provide needed insights. Bachelor&rsquo;s Degree or its foreign equivalent in Comp. Science, Engineering, Math, Stats., or related quantitative field. Plus 5 years&rsquo; experience in job offered or closely related technical position. Experience must include the following: 2 years with Azure Cloud Technologies (Data Factory, PowerShell, Data Lake and Data Lake Analytics); 5 years with Data Modeling and ETL tools, Business Intelligence platforms, API Integration, and Object-Oriented Programming (OOP) and utilizing modern technologies (Python, Git, Jenkins, Octopus Deploy, Tensorflow, Domo, ArcGIS, E/R Studio, RedGate DLM Automation and 1 year with Azure HDInsight + Spark, Azure Databricks, Azure Stream Analytics. Email resumes to: careers@cortland.com.
</div>

Lead Data Engineer - Atlanta, GA

CINC

At CINC, we power the elite of real estate. TruBase is our premier data analytics platform designed to turn massive streams of real estate market data into actionable insights for top-tier teams and real estate institutions. As a Data Engineer II, you will be the backbone of this platform&mdash;architecting the systems that ingest, transform, and serve high-velocity property data, lead interactions, and market trends at scale. You are building for users who demand sub-second latency and institutional-grade data integrity.Essential Responsibilities<ul><li>Architect Distributed Systems: Design and scale fault-tolerant systems that balance consistency and availability.</li><li>Database Engineering: Evaluate and implement database technologies based on workload needs. You will own schema design, indexing strategies, and query optimization to ensure low-latency data access.</li><li>High-Throughput ETL/ELT: Build, monitor, and maintain &quot;correct-by-design&quot; pipelines. You&rsquo;ll ensure data integrity across the lifecycle of our high-volume data flows.</li><li>System Observability &amp; Profiling: Proactively identify bottlenecks by analyzing memory, CPU, and network usage. You will implement distributed tracing and profiling to keep the system lean.</li><li>Technical Leadership: Drive innovation through Proof-of-Concepts (PoCs), document architectural decisions, and provide technical mentorship to junior engineers.</li></ul>Technical Competencies &amp; ExperienceCore Requirements<ul><li>Distributed Systems: Deep understanding of idempotence, consistency models, and consensus protocols.</li><li>Database Internals: Functional knowledge of storage engines (B+ Trees vs. LSM trees), storage formats (Columnar vs. Row), and tiering.</li><li>Performance Engineering: Proficiency in debugging and profiling tools (e.g., strace, py-spy, Flamegraphs) to optimize IO and CPU usage.</li><li>Data Streaming: Hands-on experience with log-based distributed systems such as Kafka, Pulsar, or Kinesis.</li><li>Modern Tooling: Expertise in Python or TypeScript, plus experience with Kubernetes and CI/CD for data workflows.</li><li>Database Diversity: Familiarity with both relational and analytical stores (e.g., Postgres, Redshift, Clickhouse, DynamoDB).</li></ul>Preferred (Nice-to-Have)<ul><li>Experience with lower-level languages (e.g., Rust, Go, or C++).</li><li>Deep understanding of serialization codecs and compression (Protobuf, FlatBuffers).</li><li>Knowledge of AWS Cloud Architecture and Data Governance frameworks.</li></ul>How We Measure Success<ul><li>System Reliability: Maintaining high uptime and scalability metrics under peak loads.</li><li>Performance Gains: Measurable improvements in query latency and pipeline throughput.</li><li>Architectural Integrity: Delivery of clean, well-documented code and system designs.</li><li>Team Growth: Positive impact on the technical growth and velocity of the broader engineering team.</li></ul>Other Information:Supervisory Responsibility: This position has no direct reports.Reports to: Team LeadPosition Type/Expected Hours of Work<ul><li>This is a full-time position; days and hours of work are Monday through Friday, 40 hours a week.</li><li>(Hybrid, Atlanta Area &mdash; 2 Days/Week in Office)</li><li>Work Authorization:Applicants must be legally authorized to work in the United States for any employer. We are unable to provide visa sponsorship (e.g., H-1B, OPT extensions) at this time.</li></ul>This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.Pay: $135,000.00 - $150,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Retirement plan</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul>People with a criminal record are encouraged to applyApplication Question(s):<ul><li>Do you understand that this role requires 2 days per week in office at our office location in Atlanta, GA?</li></ul>Ability to Commute:<ul><li>Atlanta, GA 30339 (Required)</li></ul>Work Location: Hybrid remote in Atlanta, GA 30339

Data Engineer - II

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Lead Data Engineer - Atlanta, GA

Data Engineer - II